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Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include: • Statistical, structural, syntactic pattern recognition; • Neural networks, machine learning, data mining; • Discrete geometry, algebraic, graph-based techniques for pattern recognition; • Signal analysis, image coding and processing, shape and texture analysis; • Computer vision, robotics, remote sensing; • Document processing, text and graphics recognition, digital libraries; • Speech recognition, music analysis, multimedia systems; • Natural language analysis, information retrieval; • Biometrics, biomedical pattern analysis and information systems; • Special hardware architectures, software packages for pattern recognition. We invite contributions as research reports or commentaries. Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications. Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas. Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests. To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-07-14</div> </div> </div> <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-list-alt"></i> Special Issues</div> </div> <div class="portlet-content"> <a name="5413"></a><pre>Special Issue on Open the Brain: horizons and challenges in brain image analysis</br>Submission Date: 2025-05-20</br></br>The rapid advancement of Artificial Intelligence (AI) is profoundly impacting healthcare, particularly in brain-focused medical imaging. AI- based tools are revolutionizing diagnostics by improving speed, reducing costs, and enhancing accuracy. Brain research through image analysis is a standout area, enabling preventive diagnoses, predicting disease progression, assisting in surgeries, and facilitating non-invasive therapy studies. These advancements are transforming the field and drawing interest from technical experts and industry stakeholders. Despite significant progress, brain imaging faces challenges such as data scarcity, lack of standardization in image acquisition, labeling issues, and other technical hurdles. The brain's complexity and neurological diseases add further difficulties. AI is addressing these challenges by enhancing data analysis, improving imaging techniques, and offering robust predictive models, driving major advancements in brain research. This special issue aims to explore critical aspects, innovative solutions, and prospects in brain-focused medical imaging. We aim to demonstrate how AI can overcome existing challenges and unlock new possibilities in diagnosing and treating neurological conditions. The issue will highlight cutting-edge research, discuss ethical and practical considerations of AI in healthcare, and provide a comprehensive overview of the current state and future directions of AI-driven brain imaging. Building on the recent ICPR 2024 challenge (https://iplab.dmi.unict.it/mfs/ms-les-seg/), this Special Issue invites numerous submissions in the related field, extending a special invitation to the top participants from the challenge. Topics of interest Machine Learning and Deep Learning Algorithms for Brain Image Analysis Pattern Recognition for Early Diagnosis of Neurological Diseases Automated Brain Image Segmentation Techniques Enhancing Brain Image Quality and Artifact Detection Generative Models for Brain Image Synthesis and Augmentation Foundation Models in Brain Image Analysis Multimodal Data Integration for Brain Pattern Recognition Predictive Models for Neurological Disease Progression Ethical Considerations and Responsible Development of AI Systems for Brain Imaging Guest editors: Sebastiano Battiato, PhD University of Catania, Catania, Italy (sebastiano.battiato@unict.it) Francesco Guarnera, PhD University of Catania, Catania, Italy (francesco.guarnera@unict.it) Alessia Rondinella, PhD University Campus Bio-Medico of Rome, Rome, Italy (alessia.rondinella@unicampus.it) Alessandro Ortis, PhD University of Catania, Catania, Italy (alessandro.ortis@unict.it) Daniele Ravì, PhD University College London, London, UK (d.ravi@ucl.ac.uk) Manuscript submission information: The PRL's submission system (Editorial Manager®) will be open for submissions to our Special Issue from May 1st, 2025. When submitting your manuscript please select the article type VSI: HCBIA. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Pattern Recognition Letters - ISSN 0167-8655 | ScienceDirect.com by Elsevier. Important dates Submission Portal Open: May 1st, 2025 Submission Deadline: May 20th, 2025 Acceptance Deadline: September 30th, 2025 Keywords: brain image analysis, medical imagina, medical generative data, neurological disease, multimodal data</pre><div class="alert alert-warning">Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-12-18</div></div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw4_c0">CCF</th><th id="yw4_c1">Full Name</th><th id="yw4_c2">Impact Factor</th><th id="yw4_c3">Publisher</th><th id="yw4_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/1028">IPSJ Transactions on System LSI Design 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href="/conference/2956">Conference on Blockchain Research & Applications for Innovative Networks and Services</a></td><td>2024-06-10</td><td>2024-10-08</td></tr> <tr class="even"> <td>FDG</td><td><a href="/conference/3512">International Conference on the Foundations of Digital Games</a></td><td>2020-01-13</td><td>2020-09-15</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/236"><span>3523</span><span>436</span><span>2877</span><span>1578</span><span>4058</span><span>3735</span><span>485</span><span>2785</span><span>2956</span><span>3512</span></div> </div></div> </div> </div> <div class="portlet" id="yw9"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" 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