SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation
SHAPE：基于结构的分层无监督领域自适应与合理性评估用于医学图像分割
Linkuan Zhou, Yinghao Xia, Yufei Shen, Xiangyu Li, Wenjie Du, Cong Cong, Leyi Wei, Ran Su, Qiangguo Jin
机构
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School of Software, Northwestern Polytechnical University（西北工业大学软件学院）
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School of Computer Science and Technology, Harbin Institute of Technology（哈尔滨工业大学计算机科学与技术学院）
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School of Software Engineering, USTC（USTC软件工程学院）
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Australian Institute of Health Innovation, Macquarie University（麦考瑞大学健康创新研究所）
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Faculty of Applied Science, Macao Polytechnic University（澳门理工学院应用科学学院）
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School of Computer Software, Tianjin University（天津大学计算机软件学院）
PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
PGR-Net：基于先验的感兴趣区域推理网络用于脑肿瘤MRI分割
Jiacheng Lu, Hui Ding, Shiyu Zhang, Guoping Huo
机构
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College of Information Engineering, Capital Normal University（首都师范大学信息工程学院）
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School of Artificial Intelligence, China University of Mining and Technology-Beijing（中国矿业大学(北京)人工智能学院）
机构
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School of Artificial Intelligence（人工智能学院）
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School of Computer Science and Technology（计算机科学与技术学院）
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State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology（光电信息采集与防护技术国家重点实验室）
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Anhui Provincial Key Laboratory of Security Artificial Intelligence（安徽省安全人工智能重点实验室）
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Anhui Provincial Key Laboratory of Multimodal Cognitive Computation（安徽省多模态认知计算重点实验室）
Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
利用基础模型进行放射学中的基于内容的图像检索
Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Raphael Stock, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus Maier-Hein
机构
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German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing（德国癌症研究中心（DKFZ）海德堡分部医学影像计算部门）
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Faculty of Mathematics and Computer Science, Heidelberg University（海德堡大学数学与计算机科学学院）
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Medical Faculty Heidelberg, University of Heidelberg（海德堡大学医学学院）
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Department of Radiology, Charité - Universitätsmedizin Berlin（柏林夏里特医学院放射科）
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German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group（德国癌症研究中心（DKFZ）海德堡交互式机器学习小组）
SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion
SCOUT：通过伪标签生成实现超低数据条件下快速光谱CT成像
Guoquan Wei, Liu Shi, Shaoyu Wang, Mohan Li, Cunfeng Wei, Qiegen Liu
机构
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School of Information Engineering, Nanchang University（南昌大学信息工程学院）
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Institute of High Energy Physics, Chinese Academy of Sciences（中国科学院高能物理研究所）
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Jinan Laboratory of Applied Nuclear Science（济南应用核科学实验室）
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Ray Image Testing Technology (Jinan) Co. Ltd（济南雷像测试技术有限公司）
Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
通过混合低秩专家专门化基础模型以实现全面头部CT分析
Youngjin Yoo, Han Liu, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Michael Baumgartner, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam K. Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson
机构
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Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ USA（西门子医疗数字化技术与创新部）
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Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany（西门子医疗计算机断层扫描部）
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Department of Radiology, New York University, New York, NY USA（纽约大学放射科部）
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Department of Radiology, University of Maryland Medical Center, Baltimore, MD USA（马里兰大学医学中心放射科部）
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Department of Radiology, Vancouver General Hospital, Vancouver, BC Canada（温哥华总医院放射科部）
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Department of Radiology, Northwell Health, New York, NY USA（北well医疗放射科部）
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Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, CO USA（UCHealth纪念医院外科部）
Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention
增强肾肿瘤恶性预测：基于自动3D CT器官聚焦注意力的深度学习
Zhengkang Fan, Chengkun Sun, Russell Terry, Jie Xu, Longin Jan Latecki
机构
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1 Department of Health Outcomes \& Biomedical Informatics, University of Florida, Gainesville, FL, USA 2 Department of Urology, University of Florida, Gainesville, FL, USA 3 Department of Computer \& Information Sciences, Temple University, Philadelphia, PA, USA
机构
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Center for Applied Statistics and School of Statistics（应用统计中心和统计学院）
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Renmin University of China（中国人民大学）
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Institute of Sports Medicine of Peking University（北京大学运动医学研究所）
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Beijing Key Laboratory of Research and Translation for Drugs and Medical Devices in Precision Diagnosis and Treatment of Sports Injuries（北京体育损伤精准诊断与治疗药物与医疗设备研究翻译重点实验室）
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State Key Laboratory of Virtual Reality Technology and Systems（虚拟现实技术与系统国家重点实验室）
Towards Personalized Multi-Modal MRI Synthesis across Heterogeneous Datasets
面向异质数据集的个性化多模态MRI合成
Yue Zhang, Zhizheng Zhuo, Siyao Xu, Shan Lv, Zhaoxi Liu, Jun Qiu, Qiuli Wang, Yaou Liu, S. Kevin Zhou
机构
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University of Science and Technology of China（中国科学技术大学）
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University of Electronic Science and Technology of China（电子科技大学）
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Capital Medical University（首都医科大学）
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Army Medical University（中国人民解放军陆军军医大学）
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China National Clinical Research Center for Neurological Diseases（中国国家神经疾病临床研究中心）
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography
CT-Bench：一种用于CT中多模态病变理解的基准测试
Qingqing Zhu, Qiao Jin, Tejas S. Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen T. S. Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu
Generative Latent Representations of 3D Brain MRI for Multi-Task Downstream Analysis in Down Syndrome
生成式3D脑部MRI的潜在表示用于唐氏综合症的多任务下游分析
Jordi Malé, Juan Fortea, Mateus Rozalem-Aranha, Neus Martínez-Abadías, Xavier Sevillano
机构
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HER - Human-Environment Research Group, La Salle - URL, Barcelona, Spain（HER-人类环境研究组，La Salle-URL，巴塞罗那，西班牙）
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Memory Unit, Department of Neurology, Institut de Recerca Sant Pau – Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain（记忆单元，神经科，圣保罗研究所–圣十字与圣保罗医院，巴塞罗那自治大学，巴塞罗那，西班牙）
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Neuroradiology Section, Department of Radiology – Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain（放射学部，放射科，圣保罗研究所–圣十字与圣保罗医院，巴塞罗那自治大学，巴塞罗那，西班牙）
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Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain（进化生物学部，生态与环境科学（BEECA），生物学学院，巴塞罗那大学（UB），巴塞罗那，西班牙）
A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models
一种校准的记忆指数（MI）用于检测生成磁共振成像模型中的训练数据泄漏
Yash Deo, Yan Jia, Toni Lassila, Victoria J Hodge, Alejandro F Frang, Chenghao Qian, Siyuan Kang, Ibrahim Habli
机构
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Department of Computer Science, University of York（约克大学计算机科学系）
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School of Computer Science, University of Leeds（利兹大学计算机科学学院）
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Department of Computing and Mathematics, Manchester Metropolitan University（曼彻斯特 Metropolitan 大学计算与数学系）
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Department of Computer Science, University of Manchester（曼彻斯特大学计算机科学系）
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Department of Cardiovascular Sciences, KU Leuven（鲁汶大学心血管科学系）
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
自动化胎儿脑MRI分割与生物测量的进展：来自FeTA 2024挑战的见解
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovčić, Melita Klaić, Ana Adžić, Pavel Marković, Gracia Grabarić, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Žiga Špiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A Niederer, Andras Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra
机构
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organization= Department of Radiology, Lausanne University Hospital
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University of Lausanne , city= Lausanne , country= Switzerland
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organization= CIBM Center for Biomedical Imaging , city= Lausanne , country= Switzerland
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organization= Department of Early Life Imaging, School of Biomedical Engineering \& Imaging Sciences, King’s College London , city= London , country= UK
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organization= Smart Imaging Lab, University Hospital Erlangen , city= Erlangen , country= Germany
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organization= Center for MR-Research, University Children’s Hospital Zurich, University of Zurich , city= Zurich , country= Switzerland
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organization= Neuroscience Center Zurich, University of Zurich , city= Zurich , country= Switzerland
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organization= National Heart \& Lung Institute, Imperial College London , city= London , country= UK
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organization= University of California, San Francisco
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UCSF Benioff Children’s Hospital , city= San Francisco , state= California , country= USA
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organization= Department of Quantitative Biomedicine, University of Zurich , city= Zurich , country= Switzerland
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organization= Department of Informatics, Technical University of Munich , city= Munich , country= Germany
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organization= Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA
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organization= Neuroimaging Unit, Scientific Institute IRCCS E. Medea , city= Bosisio Parini , country= Italy
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organization= Department of Informatics, Systems
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Communication, University of Milano Bicocca , city= Milan , country= Italy
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organization= Research Institute of Computer Vision
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organization= BCN MedTech, Department of Engineering, Universitat Pompeu Fabra , city= Barcelona , country= Spain
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organization= Department of Information Engineering, University of Padova , city= Padova , country= Italy
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organization= Institut Pasteur, Université Paris Cité, CNRS UMR 3571, Decision
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organization= Inria, HeKA, PariSantéCampus , city= Paris , country= France
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organization= L. D. College of Engineering , city= Gujarat , country= India
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organization= Medical Faculty Heidelberg, Heidelberg University , addressline= Pattern Analysis
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Learning Group, Department of Radiation Oncology, Heidelberg University Hospital , city= Heidelberg , country= Germany
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organization= Canon Medical Systems (China) Co., Ltd , city= , country= China
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organization= Faculty of Electrical Engineering, University of Ljubljana , city= Ljubljana , country= Slovenia
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organization= Department of Radiology, Seoul National University Hospital , city= Seoul , country= South Korea
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organization= School of Mechanical
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Electrical Engineering, University of Electronic Science
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organization= School of Computer Science, Wuhan University , city= Wuhan , country= China
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Developmental Science Center, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA
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organization= Hawkes Institute, Department of Computer Science, University College London , city= London , country= UK
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organization= Laboratory for Computational Neuroimaging, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School , city= Charlestown , state= Massachusetts , country= USA
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organization= Department of Biomedical Imaging
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Image-guided Therapy, Computational Imaging Research Lab (CIR), Early Life Image Analysis Group, Medical University of Vienna , city= Vienna , country= Austria
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organization= University Research Priority Project Adaptive Brain Circuits in Development
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Learning (AdaBD), University of Zurich , city= Zurich , country= Switzerland
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organization= Sagol Brain Institute, Tel Aviv Sourasky Medical Center
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School of EE, Tel-Aviv University , city= Tel-Aviv , country= Israel
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organization= Department of Medical Imaging Sciences, The Faculty of Social Welfare
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Health Sciences, University of Haifa , city= Haifa , country= Israel
；
Faculty of Medicine
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Sagol School of Neuroscience, Tel-Aviv University , city= Tel-Aviv , country= Israel
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organization= Department Woman-Mother-Child, CHUV , city= Lausanne , country= Switzerland
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organization= BCNatal Fetal Medicine Research Center (Hospital Clínic
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Hospital Sant Joan de Déu), Universitat de Barcelona , city= Barcelona , country= Spain
；
organization= German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing , city= Heidelberg , country= Germany
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organization= Helmholtz Imaging, German Cancer Research Center (DKFZ) , city= Heidelberg , country= Germany
；
organization= Faculty of Mathematics
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Computer Science, Heidelberg University , city= Heidelberg , country= Germany
；
organization= University of Zurich , city= Zurich , country= Switzerland
；
organization= Croatian Institute for Brain Research, School of Medicine, University of Zagreb , city= Zagreb , country= Croatia
；
organization= Department of Biomedical Engineering, School of Biomedical Engineering \& Imaging Sciences, King’s College , city= London , country= United Kingdom
；
Musculoskeletal Radiology, Medical University of Vienna , city= Vienna , country= Austria
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organization= Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA
；
organization= Department of Radiology, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA
RepAir: A Framework for Airway Segmentation and Discontinuity Correction in CT
RepAir：一种用于CT扫描气道分割和不连续性校正的框架
John M. Oyer, Ali Namvar, Benjamin A. Hoff, Wassim W. Labaki, Ella A. Kazerooni, Charles R. Hatt, Fernando J. Martinez, MeiLan K. Han, Craig J. Galbán, Sundaresh Ram
机构
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University of Michigan（密歇根大学）
；
D Medical, Inc.（4D医疗公司）
；
University of Massachusetts（马萨诸塞大学）
；
Emory University（埃默里大学）
；
Georgia Institute of Technology（佐治亚理工学院）
LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
LGMSNet: 通过双级多尺度融合来简化医学图像分割模型
Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou
机构
*
School of Biomedical Engineering, Division of Life Sciences
；
Medicine, University of Science
；
Center for Medical Imaging, Robotics, Analytic Computing \& Learning (MIRACLE), Suzhou Institute for Advance Research, USTC, Suzhou, 215123, China
；
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China
；
Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou, 215123, China
；
State Key Laboratory of Precision \& Intelligent Chemistry, USTC, Hefei, China
XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models
XAI-CLIP: 通过区域感兴趣引导扰动框架实现多模态视觉-语言模型中可解释的医学图像分割
Thuraya Alzubaidi, Sana Ammar, Maryam Alsharqi, Islem Rekik, Muzammil Behzad
机构
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King Fahd University of Petroleum and Minerals（国王法赫德石油和矿物大学）
；
Massachusetts Institute of Technology（麻省理工学院）
；
Imperial College London（伦敦帝国学院）
；
KFUPM-SDAIA Joint Research Centre for Artificial Intelligence（KFUPM-SDAIA联合人工智能研究中心）
