DAUNet: A Lightweight UNet Variant with Deformable Convolutions and Parameter-Free Attention for Medical Image Segmentation
DAUNet: 一种轻量级UNet变体，结合可变形卷积和无参数注意力机制用于医学图像分割
Adnan Munir, Muhammad Shahid Jabbar, Shujaat Khan
机构
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Department of Electrical Engineering (ISY), Information Coding (ICG), Linköping University（电气工程系（ISY）、信息编码系（ICG）、利厄普大学）
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SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals（SDAIA-KFUPM人工智能联合研究中心、国王法赫德石油大学）
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Department of Computer Engineering, College of Computing and Mathematics, King Fahd University of Petroleum & Minerals（计算机工程系、计算与数学学院、国王法赫德石油大学）
From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
从专家到通用型：解锁SAM在未标记医学图像上的学习潜力
Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu
机构
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Carnegie Mellon University（卡内基梅隆大学）
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Industrial University of Ho Chi Minh City（胡志明市工业大学）
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University of North Carolina at Charlotte（北卡罗来纳州夏洛特大学）
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University of Alabama at Birmingham（阿拉巴马大学伯明翰分校）
Bridging the Applicator Gap with Data-Doping:Dual-Domain Learning for Precise Bladder Segmentation in CT-Guided Brachytherapy
弥合应用器差距：数据掺杂的双域学习用于CT引导的近距离放射治疗中的膀胱分割
Suresh Das, Siladittya Manna, Sayantari Ghosh
机构
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Narayana Superspeciality Hospital, 120/1 Andul Road, Howrah, India（纳拉亚纳超级专科医院）
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Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India（计算与数据科学系，印度科学院，班加罗尔）
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Department of Physics, National Institute of Technology Durgapur, India（物理系，德鲁加帕尔国家理工学院）
AGFS-Tractometry: A Novel Atlas-Guided Fine-Scale Tractometry Approach for Enhanced Along-Tract Group Statistical Comparison Using Diffusion MRI Tractography
AGFS-束测：一种基于图谱的精细束测方法，用于利用弥散MRI束图进行增强的沿束群体统计比较
Ruixi Zheng, Wei Zhang, Yijie Li, Xi Zhu, Zhou Lan, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
机构
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University of Electronic Science and Technology of China（电子科技大学）
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Brigham and Women’s Hospital, Harvard Medical School（哈佛医学院布里奇曼妇女医院）
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Boston University（波士顿大学）
Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy
术前MRI对根治性前列腺切除术后勃起功能障碍预测价值的评估
Gideon N. L. Rouwendaal, Daniël Boeke, Inge L. Cox, Henk G. van der Poel, Margriet C. van Dijk-de Haan, Regina G. H. Beets-Tan, Thierry N. Boellaard, Wilson Silva
机构
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University of Amsterdam（阿姆斯特丹大学）
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Antoni van Leeuwenhoek-Netherlands Cancer Institute（安托尼·范·列文霍克-荷兰癌症研究所）
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Department of Urology（泌尿科部）
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AI Technology for Life（人工智能技术生命）
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Utrecht University（乌特勒支大学）
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GROW School for Oncology and Developmental Biology（GROW肿瘤学与发育生物学学院）
Comments13 pages, 5 figures, 2 tables. Accepted at PRedictive Intelligence in MEdicine workshop @ MICCAI 2025 (PRIME-MICCAI). This is the submitted manuscript with added link to github repo, funding acknowledgements and authors' names and affiliations. No further post submission improvements or corrections were integrated. Final version not published yet
SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
SegRap2025：鼻咽癌放疗计划中GTV和淋巴结临床靶区体积分割的基准测试
Jia Fu, Litingyu Wang, He Li, Zihao Luo, Huamin Wang, Chenyuan Bian, Zijun Gao, Chunbin Gu, Xin Weng, Jianghao Wu, Yicheng Wu, Jin Ye, Linhao Li, Yiwen Ye, Yong Xia, Elias Tappeiner, Fei He, Abdul qayyum, Moona Mazher, Steven A Niederer, Junqiang Chen, Chuanyi Huang, Lisheng Wang, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Shichuan Zhang, Shaoting Zhang, Wenjun Liao, Guotai Wang
机构
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School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China（电子科技大学机械与电子工程学院）
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Department of Radiation Oncology, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, University of Electronic Science and Technology of China（四川省肿瘤医院放射肿瘤科）
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Shanghai AI Lab, Shanghai, China（上海人工智能实验室）
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The Affiliated Hospital of Qingdao University, Qingdao, China（青岛大学附属医院）
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Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China（香港中文大学计算机科学与工程系）
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Faculty of Information Technology, Monash University, Melbourne, Australia（墨尔本大学信息科技学院）
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Department of Computing and Department of Brain Sciences, Imperial College London, United Kingdom（伦敦帝国理工学院计算机系和脑科学系）
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School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China（西北工业大学计算机科学与工程学院）
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UMIT Tirol - Private University for Health Sciences and Health Technology, Austria（蒂罗尔大学（私人健康科学与健康技术大学））
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School of Information and Communication Engineering, University of Electronic Science and Technology of China（电子科技大学信息与通信工程学院）
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National Heart and Lung Institute, Imperial College London, London, United Kingdom（伦敦帝国理工学院国家心脏和肺研究所）
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Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom（伦敦大学学院霍克斯研究所）
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Shanghai MediWorks Precision Instruments Co., Ltd., China（上海 MediWorks 精密仪器有限公司）
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School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China（上海交通大学自动化与智能感知学院）
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Department of Systems Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China（香港科技大学（广州）系统中心）
机构
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Key Lab of Optoelectronic Technology and Systems and Engineering Research Center of Industrial Computed Tomography Nondestructive Testing, Ministry of Education, Chongqing University（光电技术与系统国家重点实验室和工业计算机断层非破坏检测工程研究中心，教育部，重庆大学）
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School of Biomedical Engineering, Sun Yat-sen University（中山大学生物医学工程学院）
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Department of Radiology, Beijing Anzhen Hospital, Capital Medical University（北京安贞医院放射科，首都医科大学）
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School of Information Engineering, Nanchang, Jiangxi（信息工程学院，南昌，江西）
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Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR)（高性能计算研究所（IHPC），科技研究局（A*STAR））
Learning From a Steady Hand: A Weakly Supervised Agent for Robot Assistance under Microscopy
从稳定的手学习：一种弱监督的机器人助手用于显微镜下的机器人辅助
Huanyu Tian, Martin Huber, Lingyun Zeng, Zhe Han, Wayne Bennett, Giuseppe Silvestri, Gerardo Mendizabal-Ruiz, Tom Vercauteren, Alejandro Chavez-Badiola, Christos Bergeles
机构
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School of Biomedical Engineering & Imaging Sciences, King’s College London（生物医学工程与成像科学学院，伦敦国王学院）
