Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
脑MRI图像中的肿瘤分类：一种计算高效的卷积神经网络
Md Fahimul Kabir Chowdhury, Jannatul Ferdous
机构
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Department of Computer Science and Engineering, University of North Texas, USA（北卡罗来纳州立大学计算机科学与工程系）
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Department of Electrical and Electronic Engineering, International Islamic University Chittagong, Bangladesh（伊斯兰国际大学查塔格昂分校电子与电气工程系）
Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast
通过传播基相位对比技术实现婴儿肺部低剂量高分辨率CT
James A. Pollock, Kaye Morgan, Linda C. P. Croton, Emily J. Pryor, Kelly J. Crossley, Christopher J. Hall, Daniel Hausermann, Anton Maksimenko, Stuart B. Hooper, Marcus J. Kitchen
Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation
通过跨窗口知识蒸馏揭示肺部CT中的潜在病理特征
Bo Peng, Wujian Xu, Kun Wang, Ximing Liao, Na Wang, Daqian Shi, Tian Li, Jing Gao, Johan Thygesen, Yingqun Ji, Honghan Wu
机构
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Institute of Health Informatics, University College London（伦敦大学学院健康信息学研究所）
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Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University（同济大学医学院 pulmonary and critical care medicine 部门，上海东方医院）
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Queen Mary University of London（伦敦女王玛丽大学）
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School of Health and Wellbeing, University of Glasgow（格拉斯哥大学健康与福祉学院）
JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
JANUS：基于解剖的门控用于在分布偏移下鲁棒的CT分诊
Lavsen Dahal, Yubraj Bhandari, Geoffrey Rubin, Joseph Y. Lo
机构
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Center for Virtual Imaging Trials, RAI Labs, Department of Radiology, Duke University, Durham NC 27708, USA Electrical
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Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA Department of Mathematics, Trinity College of Arts \& Sciences, Duke University, Durham, NC 27708, USA Department of Radiology
Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks
基于贝叶斯物理信息神经网络的稀疏纵向CT数据肺癌肿瘤生长不确定性的预测
Lingfei Kong, Haoran Ma
机构
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Department of Mathematics, Vanderbilt University（范德比大学数学系）
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John A. Paulson School of Engineering and Applied Science, Harvard University（哈佛大学约翰·A·保罗森工程与应用科学学院）
An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
人类胎儿大脑的MRI图谱：用于胎儿大脑MRI分析的参考和分割工具
Mahdi Bagheri, Clemente Velasco-Annis, Jian Wang, Razieh Faghihpirayesh, Shadab Khan, Camilo Calixto, Camilo Jaimes, Lana Vasung, Abdelhakim Ouaalam, Onur Afacan, Simon K. Warfield, Caitlin K. Rollins, Ali Gholipour
Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report
生成放射治疗用合成计算机断层扫描：SynthRAD2025挑战报告
Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Florian Kamp, Erik van der Bijl, Arthur Jr. Galapon, Christopher Kurz, Bowen Xin, Zhengxiang Sun, Hollie Min, Gregg Belous, Jason Dowling, Yan Xia, Siyuan Mei, Fuxin Fan, Arthur Longuefosse, Javier Sequeiro Gonzalez, Miguel Diaz Benito, Alvaro Garcia Martin, Fabien Baldacci, Valentin Boussot, Cédric Hémon, Jean-Claude Nunes, Jean-Louis Dillenseger, Zhiyuan Zhang, Jinghua Cai, Han Bing, Tan Zuopeng, Ricardo Brioso, Daniele Loiacono, Guillaume Landry, Adrian Thummerer, Matteo Maspero
机构
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Radiation Physics, Department of Hematology, Oncology
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Radiation Physics, Skåne University Hospital, Lund, Sweden
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Medical Radiation Physics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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Radiotherapy Department, University Medical Center Utrecht, Utrecht, The Netherlands
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Computational Imaging Group for MR Diagnostics \& Therapy, University Medical Center Utrecht, Utrecht, The Netherlands
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Division of Medical Physics in Radiation Oncology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
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Heidelberg Institute for Radiation Oncology (HIRO)
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National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
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Department of Radiation Oncology
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Cyberknife Center, University Hospital of Cologne, Cologne, Germany
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Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
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Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
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Bavarian Cancer Research Center (BZKF), Munich, Germany
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Australian eHealth Research Center, CSIRO, Brisbane, Australia
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School of Computer Science, University of Sydney, Sydney, Australia
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Department of Orthodontics
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Pattern Recognition Lab, FAU Erlangen-Nuremberg, Germany
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RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
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Erasmus Mundus Joint Master's Degree IPCVai, University of Bordeaux, France
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Computer Science, Huazhong University of Science
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Huazhong University of Science
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Canon Medical Systems (China) CO., LTD., Beijing, China
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Department of Radiation Oncology, Inselspital, Bern University Hospital
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University of Bern, Bern, Switzerland
Comments59 pages total: 26 pages main article + supplementary material; 8 figures in the main manuscript and 3 supplementary figures. Currently under review at the journal Medical Image Analysis (MIA)
Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data
稀疏2D到密集3D弱监督学习的优化：应用于大体积体外MRI数据的多标签分割
Paul Hoareau, Kuan Yi Wang, Brandon Bujak, Roy Sun, Govind Nair, Irene Cortese, Charidimos Tsagkas, Daniel Reich, Julien Cohen-Adad
机构
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NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal（神经多极实验室，生物医学工程学院，蒙特利尔理工学院）
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École Centrale de Lyon（里昂中央理工学院）
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Mila - Quebec AI Institute（魁北克人工智能研究所）
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Functional Neuroimaging Unit, CRIUGM, University of Montreal（功能神经影像单元，CRIUGM，蒙特利尔大学）
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Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health（转化神经放射学部门，国家神经疾病与中风研究所，国家卫生研究院）
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Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel（神经学转化成像（ThINk）巴塞尔，生物医学工程系，医学院，巴塞尔大学医院和巴塞尔大学）
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Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel, Switzerland（神经科诊所和多科诊所，医学院，巴塞尔大学医院，瑞士）
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Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Switzerland（临床神经免疫学和神经科学巴塞尔研究中心（RC2NB），巴塞尔大学医院和巴塞尔大学，瑞士）
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National Institute of Neurological Disorders and Stroke, National Institutes of Health（国家神经疾病与中风研究所，国家卫生研究院）
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Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada（圣朱斯特医院研究中心，蒙特利尔大学，蒙特利尔，魁北克，加拿大）
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Quantitative MRI core facility, NINDS, NIH（定量MRI核心设施，NINDS，NIH）
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Experimental Immunotherapeutics Unit, Division of Neuroimmunology and Neurovirology, NINDS, NIH（实验免疫治疗单元，神经免疫学和神经病毒学部门，NINDS，NIH）
Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
利用生成框架在医学影像中实现跨模态图像翻译
Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda
机构
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Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University（诊断与介入部门、放射物理、生物医学工程，乌梅大学）
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Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma（人工智能与计算机系统单位，工程部门，罗马生物医学学院）
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Vita-Salute San Raffaele University（维塔-萨拉特·桑拉法埃莱大学）
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Department of Medicine, Surgery and Dentistry, University of Salerno（医学、外科和牙科部门，萨勒诺大学）
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Division of Diagnostic and Interventional Neuroradiology, Department of Radiology, University Hospital Basel（诊断和介入神经放射学部门，放射学部门，巴塞尔大学医院）
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Department of Pediatric Radiology, University Children’s Hospital Basel（儿科放射学部门，巴塞尔儿童医院）
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Department of Life Science and Public Health, Università Cattolica del Sacro Cuore（生命科学与公共健康部门，圣心大学）
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Athinoula A. Martinos Center for Biomedical Imaging（阿提诺拉A·马里诺斯生物医学成像中心）
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Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete（人工智能与转化成像（ATI）实验室，放射学部门，医学院，克里特大学）
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Division of Radiology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute（放射学部门，临床科学、介入和科技（CLINTEC）部门，卡罗林斯卡研究所）
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Columbia University Medical Center（哥伦比亚大学医学中心）
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Department of Diagnostics and intervention, Diagnostic radiology, Umeå University（诊断与介入部门，诊断放射学，乌梅大学）
BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability
BrainAnytime: 基于解剖结构的跨模态预训练用于脑图像分析，支持任意模态可用性
Guangqian Yang, Tong Ding, Wenlong Hou, Yue Xun, Ye Du, Qian Niu, Shujun Wang
机构
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Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China（生物医学工程系，香港理工大学，香港特别行政区，中国）
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Department of Technology Management for Innovation, The University of Tokyo, Japan（创新技术管理系，东京大学，日本）
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Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China（数据科学与人工智能系，香港理工大学，香港特别行政区，中国）
MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
MedOpenClaw 和 MedFlowBench：在完整研究流程中审计医疗代理
Weixiang Shen, Chengzhi Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Xiao Han, Zongyue Li, Jingpei Wu, Min Xu, Daguang Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan
机构
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Technical University of Munich（慕尼黑技术大学）
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TUM University Hospital（TUM大学医院）
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LMU Munich（慕尼黑大学）
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Imperial College London（伦敦帝国理工学院）
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University of Oxford（牛津大学）
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Carnegie Mellon University（卡内基梅隆大学）
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NVIDIA（NVIDIA公司）
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National University of Singapore（新加坡国立大学）
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Munich Center for Machine Learning（慕尼黑机器学习中心）
Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation
强化学习用于空间时间超声分割的无监督领域适应
Arnaud Judge, Nicolas Duchateau, Thierry Judge, Roman A. Sandler, Joseph Z. Sokol, Christian Desrosiers, Olivier Bernard, Pierre-Marc Jodoin
机构
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Department of Computer Science, University of Sherbrooke（谢布鲁克大学计算机科学系）
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INSA, Universite Claude Bernard Lyon 1, CNRS UMR 5220, Inserm U1206, CREATIS（里昂1大学INSA、CNRS UMR 5220、Inserm U1206、CREATIS）
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Dep. of Software and Information Technology Engineering, École de technologie supérieure（蒙特利尔工程学院软件与信息技术工程系）
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Institut Universitaire de France (IUF)（法国国家科学院（IUF））
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
审计Sybil：通过生成干预性归因解释深度肺癌风险预测
Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, Mateusz Wójcik, Tomasz Bartczak, Patryk Szatkowski, Przemysław Bombiński, Matthew Tivnan, Przemyslaw Biecek
机构
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National Lung Screening Trial Research Team（国家肺癌筛查试验研究组）
M3Net: A Macro-to-Meso-to-Micro Clinical-inspired Hierarchical 3D Network for Pulmonary Nodule Classification
M3Net：一种受临床诊断流程启发的宏-中-微三级层次3D网络用于肺结节分类
Jinyue Li, Yuzhou Yu, Jingjing Yang, Meng Fu, Yani Zhang, Shuyao He, Dianlong Ge, Xin Ning, Yannan Chu, Qiankun Li
机构
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Hefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences（中国科学院合肥医疗健康研究院、健康与医疗技术研究所、物理研究所）
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University of Science and Technology of China（中国科学技术大学）
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Graduate School, Bengbu Medical College（蚌埠医疗学院研究生院）
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Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC)（中国科学技术大学附属第一医院呼吸与危重症医学科、生命科学与医学学院）
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Northeastern University（东北大学）
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Institute of Semiconductors, Chinese Academy of Sciences（中国科学院半导体研究所）
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College of Computing and Data Science (CCDS), Nanyang Technological University（南洋理工大学计算与数据科学学院）
