Image and Video Processing Feb 2024

<!DOCTYPE html> <html lang="en"> <head> <title>Image and Video Processing Feb 2024</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link 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entries per page: <a href=/list/eess.IV/2024-02?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/eess.IV/2024-02?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/eess.IV/2024-02?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2402.00019" title="Abstract" id="2402.00019"> arXiv:2402.00019 </a> [<a href="/pdf/2402.00019" title="Download PDF" id="pdf-2402.00019" aria-labelledby="pdf-2402.00019">pdf</a>, <a href="https://arxiv.org/html/2402.00019v3" title="View HTML" id="html-2402.00019" aria-labelledby="html-2402.00019" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00019" title="Other formats" id="oth-2402.00019" aria-labelledby="oth-2402.00019">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Diffusion MRI with Machine Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Karimi,+D">Davood Karimi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Warfield,+S+K">Simon K. Warfield</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/2402.00038" title="Abstract" id="2402.00038"> arXiv:2402.00038 </a> [<a href="/pdf/2402.00038" title="Download PDF" id="pdf-2402.00038" aria-labelledby="pdf-2402.00038">pdf</a>, <a href="https://arxiv.org/html/2402.00038v2" title="View HTML" id="html-2402.00038" aria-labelledby="html-2402.00038" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00038" title="Other formats" id="oth-2402.00038" aria-labelledby="oth-2402.00038">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Detecting Brain Tumors through Multimodal Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Curci,+A">Antonio Curci</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Esposito,+A">Andrea Esposito</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Presented at NeroPRAI 2024 (co-located with ICPRAM 2024). This version did not undergo peer review: refer to the open access version of record (see DOI) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2024) - NeroPRAI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2402.00175" title="Abstract" id="2402.00175"> arXiv:2402.00175 </a> [<a href="/pdf/2402.00175" title="Download PDF" id="pdf-2402.00175" aria-labelledby="pdf-2402.00175">pdf</a>, <a href="https://arxiv.org/html/2402.00175v1" title="View HTML" id="html-2402.00175" aria-labelledby="html-2402.00175" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00175" title="Other formats" id="oth-2402.00175" aria-labelledby="oth-2402.00175">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Weakly-Supervised Detection of Bone Lesions in CT </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Sheng,+T">Tao Sheng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mathai,+T+S">Tejas Sudharshan Mathai</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shieh,+A">Alexander Shieh</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Summers,+R+M">Ronald M. Summers</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at SPIE 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2402.00320" title="Abstract" id="2402.00320"> arXiv:2402.00320 </a> [<a href="/pdf/2402.00320" title="Download PDF" id="pdf-2402.00320" aria-labelledby="pdf-2402.00320">pdf</a>, <a href="/format/2402.00320" title="Other formats" id="oth-2402.00320" aria-labelledby="oth-2402.00320">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Xue,+Z">Zhihao Xue</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+F">Fan Yang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gao,+J">Juan Gao</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chen,+Z">Zhuo Chen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Peng,+H">Hao Peng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zou,+C">Chao Zou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Jin,+H">Hang Jin</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Hu,+C">Chenxi Hu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2402.00375" title="Abstract" id="2402.00375"> arXiv:2402.00375 </a> [<a href="/pdf/2402.00375" title="Download PDF" id="pdf-2402.00375" aria-labelledby="pdf-2402.00375">pdf</a>, <a href="/format/2402.00375" title="Other formats" id="oth-2402.00375" aria-labelledby="oth-2402.00375">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Cho,+J">Jihoon Cho</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+X">Xiaofeng Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xing,+F">Fangxu Xing</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ouyang,+J">Jinsong Ouyang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fakhri,+G+E">Georges El Fakhri</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Park,+J">Jinah Park</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Woo,+J">Jonghye Woo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2402.00376" title="Abstract" id="2402.00376"> arXiv:2402.00376 </a> [<a href="/pdf/2402.00376" title="Download PDF" id="pdf-2402.00376" aria-labelledby="pdf-2402.00376">pdf</a>, <a href="/format/2402.00376" title="Other formats" id="oth-2402.00376" aria-labelledby="oth-2402.00376">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Image2Points:A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Cui,+J">Jiaqi Cui</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+Y">Yan Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wen,+L">Lu Wen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zeng,+P">Pinxian Zeng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wu,+X">Xi Wu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+J">Jiliu Zhou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shen,+D">Dinggang Shen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by ICASSP 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2402.00570" title="Abstract" id="2402.00570"> arXiv:2402.00570 </a> [<a href="/pdf/2402.00570" title="Download PDF" id="pdf-2402.00570" aria-labelledby="pdf-2402.00570">pdf</a>, <a href="/format/2402.00570" title="Other formats" id="oth-2402.00570" aria-labelledby="oth-2402.00570">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Jim%C3%A9nez-Partinen,+A">Ariadna Jim茅nez-Partinen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Molina-Cabello,+M+A">Miguel A. Molina-Cabello</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Thurnhofer-Hemsi,+K">Karl Thurnhofer-Hemsi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Palomo,+E+J">Esteban J. Palomo</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Rodr%C3%ADguez-Capit%C3%A1n,+J">Jorge Rodr铆guez-Capit谩n</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Molina-Ramos,+A+I">Ana I. Molina-Ramos</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Jim%C3%A9nez-Navarro,+M">Manuel Jim茅nez-Navarro</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2402.00593" title="Abstract" id="2402.00593"> arXiv:2402.00593 </a> [<a href="/pdf/2402.00593" title="Download PDF" id="pdf-2402.00593" aria-labelledby="pdf-2402.00593">pdf</a>, <a href="/format/2402.00593" title="Other formats" id="oth-2402.00593" aria-labelledby="oth-2402.00593">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Jim%C3%A9nez-Partinen,+A">Ariadna Jim茅nez-Partinen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Thurnhofer-Hemsi,+K">Karl Thurnhofer-Hemsi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Palomo,+E+J">Esteban J. Palomo</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Rodr%C3%ADguez-Capit%C3%A1n,+J">Jorge Rodr铆guez-Capit谩n</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Molina-Ramos,+A+I">Ana I. Molina-Ramos</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE Access, vol. 12, pp. 69229-69239, 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2402.00680" title="Abstract" id="2402.00680"> arXiv:2402.00680 </a> [<a href="/pdf/2402.00680" title="Download PDF" id="pdf-2402.00680" aria-labelledby="pdf-2402.00680">pdf</a>, <a href="https://arxiv.org/html/2402.00680v3" title="View HTML" id="html-2402.00680" aria-labelledby="html-2402.00680" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00680" title="Other formats" id="oth-2402.00680" aria-labelledby="oth-2402.00680">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Jiang,+W">Wei Jiang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+J">Junru Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+K">Kai Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+L">Li Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted to ICASSP 2024 (lecture presentation). The first attempt to use cross attention for bits-free motion estimation and motion compensation </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> ICASSP (International Conference on Acoustics, Speech, and Signal Processing) pp. 2955-2959, 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2402.00967" title="Abstract" id="2402.00967"> arXiv:2402.00967 </a> [<a href="/pdf/2402.00967" title="Download PDF" id="pdf-2402.00967" aria-labelledby="pdf-2402.00967">pdf</a>, <a href="https://arxiv.org/html/2402.00967v1" title="View HTML" id="html-2402.00967" aria-labelledby="html-2402.00967" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00967" title="Other formats" id="oth-2402.00967" aria-labelledby="oth-2402.00967">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Jadue,+N+M">Natalie M. Jadue</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Nagare,+M">Madhuri Nagare</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Maltz,+J+S">Jonathan S. Maltz</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Buzzard,+G+T">Gregery T. Buzzard</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bouman,+C+A">Charles A. Bouman</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages, 10 figures, submitted to SPIE Medical Imaging 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2402.00993" title="Abstract" id="2402.00993"> arXiv:2402.00993 </a> [<a href="/pdf/2402.00993" title="Download PDF" id="pdf-2402.00993" aria-labelledby="pdf-2402.00993">pdf</a>, <a href="https://arxiv.org/html/2402.00993v1" title="View HTML" id="html-2402.00993" aria-labelledby="html-2402.00993" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.00993" title="Other formats" id="oth-2402.00993" aria-labelledby="oth-2402.00993">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Compressed image quality assessment using stacking </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Hosseini-Benvidi,+S+F">S. Farhad Hosseini-Benvidi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Motamednia,+H">Hossein Motamednia</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mansouri,+A">Azadeh Mansouri</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Raei,+M">Mohammadreza Raei</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mahmoudi-Aznaveh,+A">Ahmad Mahmoudi-Aznaveh</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2402.01031" title="Abstract" id="2402.01031"> arXiv:2402.01031 </a> [<a href="/pdf/2402.01031" title="Download PDF" id="pdf-2402.01031" aria-labelledby="pdf-2402.01031">pdf</a>, <a href="/format/2402.01031" title="Other formats" id="oth-2402.01031" aria-labelledby="oth-2402.01031">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+A">Alexander Zhou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+Z">Zelong Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tieu,+A">Andrew Tieu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Patel,+N">Nikhil Patel</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Sun,+S">Sean Sun</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+A">Anthony Yang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Choi,+P">Peter Choi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Lee,+H">Hao-Chih Lee</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tordjman,+M">Mickael Tordjman</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Deyer,+L">Louisa Deyer</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mei,+Y">Yunhao Mei</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fauveau,+V">Valentin Fauveau</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Soultanidis,+G">George Soultanidis</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Taouli,+B">Bachir Taouli</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Huang,+M">Mingqian Huang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Doshi,+A">Amish Doshi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fayad,+Z+A">Zahi A. Fayad</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Deyer,+T">Timothy Deyer</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mei,+X">Xueyan Mei</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Radiology Advances, Volume 2, Issue 1, January 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2402.01034" title="Abstract" id="2402.01034"> arXiv:2402.01034 </a> [<a href="/pdf/2402.01034" title="Download PDF" id="pdf-2402.01034" aria-labelledby="pdf-2402.01034">pdf</a>, <a href="/format/2402.01034" title="Other formats" id="oth-2402.01034" aria-labelledby="oth-2402.01034">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+Z">Zelong Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tieu,+A">Andrew Tieu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Patel,+N">Nikhil Patel</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Soultanidis,+G">Georgios Soultanidis</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Deyer,+L">Louisa Deyer</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+Y">Ying Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Huver,+S">Sean Huver</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+A">Alexander Zhou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mei,+Y">Yunhao Mei</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fayad,+Z+A">Zahi A. Fayad</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Deyer,+T">Timothy Deyer</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mei,+X">Xueyan Mei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at MLMI@MICCAI (Workshop on Machine Learning in Medical Imaging at MICCAI 2024)) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2402.01054" title="Abstract" id="2402.01054"> arXiv:2402.01054 </a> [<a href="/pdf/2402.01054" title="Download PDF" id="pdf-2402.01054" aria-labelledby="pdf-2402.01054">pdf</a>, <a href="https://arxiv.org/html/2402.01054v3" title="View HTML" id="html-2402.01054" aria-labelledby="html-2402.01054" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01054" title="Other formats" id="oth-2402.01054" aria-labelledby="oth-2402.01054">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Dar,+S+U+H">Salman Ul Hassan Dar</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Seyfarth,+M">Marvin Seyfarth</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ayx,+I">Isabelle Ayx</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Papavassiliu,+T">Theano Papavassiliu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Schoenberg,+S+O">Stefan O. Schoenberg</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Siepmann,+R+M">Robert Malte Siepmann</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Laqua,+F+C">Fabian Christopher Laqua</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kahmann,+J">Jannik Kahmann</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Frey,+N">Norbert Frey</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bae%C3%9Fler,+B">Bettina Bae脽ler</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Foersch,+S">Sebastian Foersch</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Truhn,+D">Daniel Truhn</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kather,+J+N">Jakob Nikolas Kather</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Engelhardt,+S">Sandy Engelhardt</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2402.01067" title="Abstract" id="2402.01067"> arXiv:2402.01067 </a> [<a href="/pdf/2402.01067" title="Download PDF" id="pdf-2402.01067" aria-labelledby="pdf-2402.01067">pdf</a>, <a href="https://arxiv.org/html/2402.01067v1" title="View HTML" id="html-2402.01067" aria-labelledby="html-2402.01067" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01067" title="Other formats" id="oth-2402.01067" aria-labelledby="oth-2402.01067">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Chowdhury,+M">Mohsena Chowdhury</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Vyas,+T">Tejas Vyas</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Alapati,+R">Rahul Alapati</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bur,+A+M">Andr茅s M Bur</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+G">Guanghui Wang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2402.01171" title="Abstract" id="2402.01171"> arXiv:2402.01171 </a> [<a href="/pdf/2402.01171" title="Download PDF" id="pdf-2402.01171" aria-labelledby="pdf-2402.01171">pdf</a>, <a href="https://arxiv.org/html/2402.01171v1" title="View HTML" id="html-2402.01171" aria-labelledby="html-2402.01171" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01171" title="Other formats" id="oth-2402.01171" aria-labelledby="oth-2402.01171">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Xu,+X">Xichen Xu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chen,+W">Wentao Chen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+W">Weimin Zhou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> SPIE Medical Imaging 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2402.01186" title="Abstract" id="2402.01186"> arXiv:2402.01186 </a> [<a href="/pdf/2402.01186" title="Download PDF" id="pdf-2402.01186" aria-labelledby="pdf-2402.01186">pdf</a>, <a href="https://arxiv.org/html/2402.01186v1" title="View HTML" id="html-2402.01186" aria-labelledby="html-2402.01186" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01186" title="Other formats" id="oth-2402.01186" aria-labelledby="oth-2402.01186">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Chen,+W">Wentao Chen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xu,+X">Xichen Xu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Luo,+J">Jie Luo</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+W">Weimin Zhou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> SPIE Medical Imaging 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2402.01509" title="Abstract" id="2402.01509"> arXiv:2402.01509 </a> [<a href="/pdf/2402.01509" title="Download PDF" id="pdf-2402.01509" aria-labelledby="pdf-2402.01509">pdf</a>, <a href="/format/2402.01509" title="Other formats" id="oth-2402.01509" aria-labelledby="oth-2402.01509">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Advancing Brain Tumor Inpainting with Generative Models </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Zhu,+R">Ruizhi Zhu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+X">Xinru Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Pang,+H">Haowen Pang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xu,+C">Chundan Xu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ye,+C">Chuyang Ye</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2402.01596" title="Abstract" id="2402.01596"> arXiv:2402.01596 </a> [<a href="/pdf/2402.01596" title="Download PDF" id="pdf-2402.01596" aria-labelledby="pdf-2402.01596">pdf</a>, <a href="https://arxiv.org/html/2402.01596v2" title="View HTML" id="html-2402.01596" aria-labelledby="html-2402.01596" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01596" title="Other formats" id="oth-2402.01596" aria-labelledby="oth-2402.01596">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Immersive Video Compression using Implicit Neural Representations </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Kwan,+H+M">Ho Man Kwan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+F">Fan Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gower,+A">Andrew Gower</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bull,+D">David Bull</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2402.01779" title="Abstract" id="2402.01779"> arXiv:2402.01779 </a> [<a href="/pdf/2402.01779" title="Download PDF" id="pdf-2402.01779" aria-labelledby="pdf-2402.01779">pdf</a>, <a href="https://arxiv.org/html/2402.01779v2" title="View HTML" id="html-2402.01779" aria-labelledby="html-2402.01779" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.01779" title="Other formats" id="oth-2402.01779" aria-labelledby="oth-2402.01779">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Plug-and-Play image restoration with Stochastic deNOising REgularization </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Renaud,+M">Marien Renaud</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Prost,+J">Jean Prost</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Leclaire,+A">Arthur Leclaire</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Papadakis,+N">Nicolas Papadakis</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2402.01954" title="Abstract" id="2402.01954"> arXiv:2402.01954 </a> [<a href="/pdf/2402.01954" title="Download PDF" id="pdf-2402.01954" aria-labelledby="pdf-2402.01954">pdf</a>, <a href="/format/2402.01954" title="Other formats" id="oth-2402.01954" aria-labelledby="oth-2402.01954">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Angular Integral Autocorrelation for Speed Estimation in Shear Wave Elastography </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Asemani,+H">Hamidreza Asemani</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kabir,+I+E">Irteza Enan Kabir</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ormachea,+J">Juvenal Ormachea</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Doyley,+M+M">Marvin M Doyley</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Rolland,+J+P">Jannick P Rolland</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Parker,+K+J">Kevin J Parker</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2402.02125" title="Abstract" id="2402.02125"> arXiv:2402.02125 </a> [<a href="/pdf/2402.02125" title="Download PDF" id="pdf-2402.02125" aria-labelledby="pdf-2402.02125">pdf</a>, <a href="/format/2402.02125" title="Other formats" id="oth-2402.02125" aria-labelledby="oth-2402.02125">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> DCE-FORMER: A Transformer-based Model With Mutual Information And Frequency-based Loss Functions For Early And Late Response Prediction In Prostate DCE-MRI </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=S,+S">Sadhana S</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ramanarayanan,+S">Sriprabha Ramanarayanan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Sarkar,+A">Arunima Sarkar</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gayathri,+M+N">Matcha Naga Gayathri</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ram,+K">Keerthi Ram</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Sivaprakasam,+M">Mohanasankar Sivaprakasam</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at IEEE ISBI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2402.02188" title="Abstract" id="2402.02188"> arXiv:2402.02188 </a> [<a href="/pdf/2402.02188" title="Download PDF" id="pdf-2402.02188" aria-labelledby="pdf-2402.02188">pdf</a>, <a href="/format/2402.02188" title="Other formats" id="oth-2402.02188" aria-labelledby="oth-2402.02188">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Diabetes detection using deep learning techniques with oversampling and feature augmentation </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Garc%C3%ADa-Ord%C3%A1s,+M+T">Mar铆a Teresa Garc铆a-Ord谩s</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Benavides,+C">Carmen Benavides</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ben%C3%ADtez-Andrades,+J+A">Jos茅 Alberto Ben铆tez-Andrades</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Alaiz-Moret%C3%B3n,+H">H茅ctor Alaiz-Moret贸n</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Garc%C3%ADa-Rodr%C3%ADguez,+I">Isa铆as Garc铆a-Rodr铆guez</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Computer Methods and Programs in Biomedicine, Volume 202, April 2021, ID 105968 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2402.02274" title="Abstract" id="2402.02274"> arXiv:2402.02274 </a> [<a href="/pdf/2402.02274" title="Download PDF" id="pdf-2402.02274" aria-labelledby="pdf-2402.02274">pdf</a>, <a href="/format/2402.02274" title="Other formats" id="oth-2402.02274" aria-labelledby="oth-2402.02274">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Sadeghnezhad,+E">Elham Sadeghnezhad</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Salem,+S">Sajjad Salem</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2402.02349" title="Abstract" id="2402.02349"> arXiv:2402.02349 </a> [<a href="/pdf/2402.02349" title="Download PDF" id="pdf-2402.02349" aria-labelledby="pdf-2402.02349">pdf</a>, <a href="/format/2402.02349" title="Other formats" id="oth-2402.02349" aria-labelledby="oth-2402.02349">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> 3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Huang,+H">Huan Huang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Qiu,+L">Liheng Qiu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+S">Shenmiao Yang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+L">Longxi Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Nan,+J">Jiaofen Nan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+Y">Yanting Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Han,+C">Chuang Han</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhu,+F">Fubao Zhu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhao,+C">Chen Zhao</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+W">Weihua Zhou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 7 figures; reference added </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2402.02411" title="Abstract" id="2402.02411"> arXiv:2402.02411 </a> [<a href="/pdf/2402.02411" title="Download PDF" id="pdf-2402.02411" aria-labelledby="pdf-2402.02411">pdf</a>, <a href="https://arxiv.org/html/2402.02411v1" title="View HTML" id="html-2402.02411" aria-labelledby="html-2402.02411" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02411" title="Other formats" id="oth-2402.02411" aria-labelledby="oth-2402.02411">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Physics-Inspired Degradation Models for Hyperspectral Image Fusion </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Lian,+J">Jie Lian</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+L">Lizhi Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhu,+L">Lin Zhu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Dian,+R">Renwei Dian</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xiong,+Z">Zhiwei Xiong</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Huang,+H">Hua Huang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2402.02491" title="Abstract" id="2402.02491"> arXiv:2402.02491 </a> [<a href="/pdf/2402.02491" title="Download PDF" id="pdf-2402.02491" aria-labelledby="pdf-2402.02491">pdf</a>, <a href="https://arxiv.org/html/2402.02491v2" title="View HTML" id="html-2402.02491" aria-labelledby="html-2402.02491" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02491" title="Other formats" id="oth-2402.02491" aria-labelledby="oth-2402.02491">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> VM-UNet: Vision Mamba UNet for Medical Image Segmentation </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Ruan,+J">Jiacheng Ruan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+J">Jincheng Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xiang,+S">Suncheng Xiang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 5 figures, 6 tables. Work in progress </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2402.02498" title="Abstract" id="2402.02498"> arXiv:2402.02498 </a> [<a href="/pdf/2402.02498" title="Download PDF" id="pdf-2402.02498" aria-labelledby="pdf-2402.02498">pdf</a>, <a href="https://arxiv.org/html/2402.02498v2" title="View HTML" id="html-2402.02498" aria-labelledby="html-2402.02498" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02498" title="Other formats" id="oth-2402.02498" aria-labelledby="oth-2402.02498">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Chen,+M">Minheng Chen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+Z">Zhirun Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gu,+S">Shuheng Gu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ge,+Z">Zhangyang Ge</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kong,+Y">Youyong Kong</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ISBI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2402.02514" title="Abstract" id="2402.02514"> arXiv:2402.02514 </a> [<a href="/pdf/2402.02514" title="Download PDF" id="pdf-2402.02514" aria-labelledby="pdf-2402.02514">pdf</a>, <a href="https://arxiv.org/html/2402.02514v1" title="View HTML" id="html-2402.02514" aria-labelledby="html-2402.02514" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02514" title="Other formats" id="oth-2402.02514" aria-labelledby="oth-2402.02514">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Ma,+Q">Qixiang Ma</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Lucas,+A">Antoine Lucas</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kaladji,+A">Adrien Kaladji</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Haigron,+P">Pascal Haigron</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by 21st IEEE International Symposium on Biomedical Imaging </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2402.02704" title="Abstract" id="2402.02704"> arXiv:2402.02704 </a> [<a href="/pdf/2402.02704" title="Download PDF" id="pdf-2402.02704" aria-labelledby="pdf-2402.02704">pdf</a>, <a href="/format/2402.02704" title="Other formats" id="oth-2402.02704" aria-labelledby="oth-2402.02704">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+S">Shanshan Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wu,+R">Ruoyou Wu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Jia,+S">Sen Jia</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Diakite,+A">Alou Diakite</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+C">Cheng Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+Q">Qiegen Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ying,+L">Leslie Ying</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 46 pages, 5figures, 1 table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2402.02724" title="Abstract" id="2402.02724"> arXiv:2402.02724 </a> [<a href="/pdf/2402.02724" title="Download PDF" id="pdf-2402.02724" aria-labelledby="pdf-2402.02724">pdf</a>, <a href="/format/2402.02724" title="Other formats" id="oth-2402.02724" aria-labelledby="oth-2402.02724">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+H">Haoran Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shi,+J">Jiahua Shi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chen,+H">Huaming Chen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Du,+B">Bo Du</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Maksour,+S">Simon Maksour</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Phillips,+G">Gabrielle Phillips</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Dottori,+M">Mirella Dottori</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shen,+J">Jun Shen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by The IEEE International Symposium on Biomedical Imaging (ISBI) 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2402.02734" title="Abstract" id="2402.02734"> arXiv:2402.02734 </a> [<a href="/pdf/2402.02734" title="Download PDF" id="pdf-2402.02734" aria-labelledby="pdf-2402.02734">pdf</a>, <a href="https://arxiv.org/html/2402.02734v1" title="View HTML" id="html-2402.02734" aria-labelledby="html-2402.02734" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02734" title="Other formats" id="oth-2402.02734" aria-labelledby="oth-2402.02734">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Lei,+B">Bowen Lei</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Guhaniyogi,+R">Rajarshi Guhaniyogi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chandra,+K">Krishnendu Chandra</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Scheffler,+A">Aaron Scheffler</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mallick,+B">Bani Mallick</a> (for the Alzheimer's Disease Neuroimaging Initiative)</div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE); Applications (stat.AP); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2402.02836" title="Abstract" id="2402.02836"> arXiv:2402.02836 </a> [<a href="/pdf/2402.02836" title="Download PDF" id="pdf-2402.02836" aria-labelledby="pdf-2402.02836">pdf</a>, <a href="/format/2402.02836" title="Other formats" id="oth-2402.02836" aria-labelledby="oth-2402.02836">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Perceptual Learned Image Compression via End-to-End JND-Based Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Pakdaman,+F">Farhad Pakdaman</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Nami,+S">Sanaz Nami</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gabbouj,+M">Moncef Gabbouj</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Copyright 2024 IEEE - Submitted to IEEE ICIP 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2402.02936" title="Abstract" id="2402.02936"> arXiv:2402.02936 </a> [<a href="/pdf/2402.02936" title="Download PDF" id="pdf-2402.02936" aria-labelledby="pdf-2402.02936">pdf</a>, <a href="https://arxiv.org/html/2402.02936v1" title="View HTML" id="html-2402.02936" aria-labelledby="html-2402.02936" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02936" title="Other formats" id="oth-2402.02936" aria-labelledby="oth-2402.02936">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Yu,+L">Li Yu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gao,+Y">Yanjun Gao</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Pakdaman,+F">Farhad Pakdaman</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gabbouj,+M">Moncef Gabbouj</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Copyright 2024 IEEE - to appear in IEEE ICASSP 2024 </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Multimedia (cs.MM) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2402.02963" title="Abstract" id="2402.02963"> arXiv:2402.02963 </a> [<a href="/pdf/2402.02963" title="Download PDF" id="pdf-2402.02963" aria-labelledby="pdf-2402.02963">pdf</a>, <a href="https://arxiv.org/html/2402.02963v1" title="View HTML" id="html-2402.02963" aria-labelledby="html-2402.02963" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.02963" title="Other formats" id="oth-2402.02963" aria-labelledby="oth-2402.02963">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> One-class anomaly detection through color-to-thermal AI for building envelope inspection </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Kurtser,+P">Polina Kurtser</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Feng,+K">Kailun Feng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Olofsson,+T">Thomas Olofsson</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=De+Andres,+A">Aitor De Andres</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2402.03166" title="Abstract" id="2402.03166"> arXiv:2402.03166 </a> [<a href="/pdf/2402.03166" title="Download PDF" id="pdf-2402.03166" aria-labelledby="pdf-2402.03166">pdf</a>, <a href="https://arxiv.org/html/2402.03166v5" title="View HTML" id="html-2402.03166" aria-labelledby="html-2402.03166" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03166" title="Other formats" id="oth-2402.03166" aria-labelledby="oth-2402.03166">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Morano,+J">Jos茅 Morano</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Aresta,+G">Guilherme Aresta</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bogunovi%C4%87,+H">Hrvoje Bogunovi膰</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Expert Systems with Applications, 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2402.03179" title="Abstract" id="2402.03179"> arXiv:2402.03179 </a> [<a href="/pdf/2402.03179" title="Download PDF" id="pdf-2402.03179" aria-labelledby="pdf-2402.03179">pdf</a>, <a href="/format/2402.03179" title="Other formats" id="oth-2402.03179" aria-labelledby="oth-2402.03179">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cool-chic video: Learned video coding with 800 parameters </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Leguay,+T">Thomas Leguay</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ladune,+T">Th茅o Ladune</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Philippe,+P">Pierrick Philippe</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=D%C3%A9forges,+O">Olivier D茅forges</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, published in Data Compression Conference 2024 </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Data Compression Conference, 2024, 23-32 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2402.03230" title="Abstract" id="2402.03230"> arXiv:2402.03230 </a> [<a href="/pdf/2402.03230" title="Download PDF" id="pdf-2402.03230" aria-labelledby="pdf-2402.03230">pdf</a>, <a href="https://arxiv.org/html/2402.03230v2" title="View HTML" id="html-2402.03230" aria-labelledby="html-2402.03230" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03230" title="Other formats" id="oth-2402.03230" aria-labelledby="oth-2402.03230">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Harirpoush,+A">Arash Harirpoush</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Rasoulian,+A">Amirhossein Rasoulian</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kersten-Oertel,+M">Marta Kersten-Oertel</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xiao,+Y">Yiming Xiao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2402.03302" title="Abstract" id="2402.03302"> arXiv:2402.03302 </a> [<a href="/pdf/2402.03302" title="Download PDF" id="pdf-2402.03302" aria-labelledby="pdf-2402.03302">pdf</a>, <a href="https://arxiv.org/html/2402.03302v2" title="View HTML" id="html-2402.03302" aria-labelledby="html-2402.03302" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03302" title="Other formats" id="oth-2402.03302" aria-labelledby="oth-2402.03302">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+J">Jiarun Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+H">Hao Yang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+H">Hong-Yu Zhou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xi,+Y">Yan Xi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yu,+L">Lequan Yu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yu,+Y">Yizhou Yu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liang,+Y">Yong Liang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shi,+G">Guangming Shi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+S">Shaoting Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zheng,+H">Hairong Zheng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+S">Shanshan Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Code and models of Swin-UMamba are publicly available at: <a href="https://github.com/JiarunLiu/Swin-UMamba" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2402.03383" title="Abstract" id="2402.03383"> arXiv:2402.03383 </a> [<a href="/pdf/2402.03383" title="Download PDF" id="pdf-2402.03383" aria-labelledby="pdf-2402.03383">pdf</a>, <a href="https://arxiv.org/html/2402.03383v3" title="View HTML" id="html-2402.03383" aria-labelledby="html-2402.03383" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03383" title="Other formats" id="oth-2402.03383" aria-labelledby="oth-2402.03383">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> MCU-Net: A Multi-prior Collaborative Deep Unfolding Network with Gates-controlled Spatial Attention for Accelerated MR Image Reconstruction </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Qiao,+X">Xiaoyu Qiao</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+W">Weisheng Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+G">Guofen Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Huang,+Y">Yuping Huang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2402.03390" title="Abstract" id="2402.03390"> arXiv:2402.03390 </a> [<a href="/pdf/2402.03390" title="Download PDF" id="pdf-2402.03390" aria-labelledby="pdf-2402.03390">pdf</a>, <a href="/format/2402.03390" title="Other formats" id="oth-2402.03390" aria-labelledby="oth-2402.03390">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PixelGen: Rethinking Embedded Camera Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+K">Kunjun Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gulati,+M">Manoj Gulati</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Waskito,+S">Steven Waskito</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shah,+D">Dhairya Shah</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chakrabarty,+S">Shantanu Chakrabarty</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Varshney,+A">Ambuj Varshney</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Networking and Internet Architecture (cs.NI) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2402.03394" title="Abstract" id="2402.03394"> arXiv:2402.03394 </a> [<a href="/pdf/2402.03394" title="Download PDF" id="pdf-2402.03394" aria-labelledby="pdf-2402.03394">pdf</a>, <a href="https://arxiv.org/html/2402.03394v3" title="View HTML" id="html-2402.03394" aria-labelledby="html-2402.03394" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03394" title="Other formats" id="oth-2402.03394" aria-labelledby="oth-2402.03394">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Artificial Intelligence in Image-based Cardiovascular Disease Analysis: A Comprehensive Survey and Future Outlook </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+X">Xin Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhu,+H">Hongtu Zhu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span> </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2402.03398" title="Abstract" id="2402.03398"> arXiv:2402.03398 </a> [<a href="/pdf/2402.03398" title="Download PDF" id="pdf-2402.03398" aria-labelledby="pdf-2402.03398">pdf</a>, <a href="/format/2402.03398" title="Other formats" id="oth-2402.03398" aria-labelledby="oth-2402.03398">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Mehrdad,+S">Saeid Mehrdad</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Janani,+S+A">Seyed AmirHossein Janani</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2402.03399" title="Abstract" id="2402.03399"> arXiv:2402.03399 </a> [<a href="/pdf/2402.03399" title="Download PDF" id="pdf-2402.03399" aria-labelledby="pdf-2402.03399">pdf</a>, <a href="https://arxiv.org/html/2402.03399v1" title="View HTML" id="html-2402.03399" aria-labelledby="html-2402.03399" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03399" title="Other formats" id="oth-2402.03399" aria-labelledby="oth-2402.03399">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Rethinking RGB Color Representation for Image Restoration Models </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Lee,+J">Jaerin Lee</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Park,+J">JoonKyu Park</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Baik,+S">Sungyong Baik</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Lee,+K+M">Kyoung Mu Lee</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages (11 pages main manuscript + 20 pages appendices), 22 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2402.03412" title="Abstract" id="2402.03412"> arXiv:2402.03412 </a> [<a href="/pdf/2402.03412" title="Download PDF" id="pdf-2402.03412" aria-labelledby="pdf-2402.03412">pdf</a>, <a href="https://arxiv.org/html/2402.03412v2" title="View HTML" id="html-2402.03412" aria-labelledby="html-2402.03412" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03412" title="Other formats" id="oth-2402.03412" aria-labelledby="oth-2402.03412">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> See More Details: Efficient Image Super-Resolution by Experts Mining </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Zamfir,+E">Eduard Zamfir</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wu,+Z">Zongwei Wu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mehta,+N">Nancy Mehta</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+Y">Yulun Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Timofte,+R">Radu Timofte</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at ICML 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2402.03414" title="Abstract" id="2402.03414"> arXiv:2402.03414 </a> [<a href="/pdf/2402.03414" title="Download PDF" id="pdf-2402.03414" aria-labelledby="pdf-2402.03414">pdf</a>, <a href="https://arxiv.org/html/2402.03414v1" title="View HTML" id="html-2402.03414" aria-labelledby="html-2402.03414" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03414" title="Other formats" id="oth-2402.03414" aria-labelledby="oth-2402.03414">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Chavan,+R">Rugved Chavan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Hyman,+G">Gabriel Hyman</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Qureshi,+Z">Zoraiz Qureshi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Jayakumar,+N">Nivetha Jayakumar</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Terrell,+W">William Terrell</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Berr,+S">Stuart Berr</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Schiff,+D">David Schiff</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wardius,+M">Megan Wardius</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fountain,+N">Nathan Fountain</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Muttikkal,+T">Thomas Muttikkal</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Quigg,+M">Mark Quigg</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhang,+M">Miaomiao Zhang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kundu,+B">Bijoy Kundu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2402.03473" title="Abstract" id="2402.03473"> arXiv:2402.03473 </a> [<a href="/pdf/2402.03473" title="Download PDF" id="pdf-2402.03473" aria-labelledby="pdf-2402.03473">pdf</a>, <a href="https://arxiv.org/html/2402.03473v3" title="View HTML" id="html-2402.03473" aria-labelledby="html-2402.03473" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03473" title="Other formats" id="oth-2402.03473" aria-labelledby="oth-2402.03473">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Xing,+X">Xiaodan Xing</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zhou,+H">Huiyu Zhou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Fang,+Y">Yingying Fang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+G">Guang Yang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> ISBI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2402.03476" title="Abstract" id="2402.03476"> arXiv:2402.03476 </a> [<a href="/pdf/2402.03476" title="Download PDF" id="pdf-2402.03476" aria-labelledby="pdf-2402.03476">pdf</a>, <a href="https://arxiv.org/html/2402.03476v1" title="View HTML" id="html-2402.03476" aria-labelledby="html-2402.03476" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03476" title="Other formats" id="oth-2402.03476" aria-labelledby="oth-2402.03476">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> CT Material Decomposition using Spectral Diffusion Posterior Sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Jiang,+X">Xiao Jiang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gang,+G+J">Grace J. Gang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Stayman,+J+W">J. Webster Stayman</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Machine Learning (cs.LG); Medical Physics (physics.med-ph) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2402.03492" title="Abstract" id="2402.03492"> arXiv:2402.03492 </a> [<a href="/pdf/2402.03492" title="Download PDF" id="pdf-2402.03492" aria-labelledby="pdf-2402.03492">pdf</a>, <a href="https://arxiv.org/html/2402.03492v3" title="View HTML" id="html-2402.03492" aria-labelledby="html-2402.03492" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2402.03492" title="Other formats" id="oth-2402.03492" aria-labelledby="oth-2402.03492">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Ma,+Q">Qixiang Ma</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=%C5%81ucas,+A">Antoine 艁ucas</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Shu,+H">Huazhong Shu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kaladji,+A">Adrien Kaladji</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Haigron,+P">Pascal Haigron</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by journal of Medical Image Analysis </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2402.03547" title="Abstract" id="2402.03547"> arXiv:2402.03547 </a> [<a href="/pdf/2402.03547" title="Download PDF" id="pdf-2402.03547" aria-labelledby="pdf-2402.03547">pdf</a>, <a href="/format/2402.03547" title="Other formats" id="oth-2402.03547" aria-labelledby="oth-2402.03547">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Namdar,+K">Khashayar Namdar</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wagner,+M+W">Matthias W. Wagner</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Hawkins,+C">Cynthia Hawkins</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tabori,+U">Uri Tabori</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ertl-Wagner,+B+B">Birgit B. Ertl-Wagner</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Khalvati,+F">Farzad Khalvati</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Quantitative Methods (q-bio.QM) </div> </div> </dd> </dl> <div class='paging'>Total of 336 entries : <span>1-50</span> <a href=/list/eess.IV/2024-02?skip=50&show=50>51-100</a> <a href=/list/eess.IV/2024-02?skip=100&show=50>101-150</a> <a href=/list/eess.IV/2024-02?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/eess.IV/2024-02?skip=300&show=50>301-336</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/eess.IV/2024-02?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/eess.IV/2024-02?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/eess.IV/2024-02?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em">  <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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Image and Video Processing Feb 2024