医学 AI

Embracing Intra-Class Heterogeneity for Semi-Supervised Medical Image Segmentation: From Diversity to Precision

拥抱类内异质性用于半监督医学图像分割：从多样性到精确性

Yuqi Liu, Yufei Chen, Wei Fu, Xiaodong Yue, Shuo Li

机构 * School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院） ； Artificial Intelligence Institute, Shanghai University（上海大学人工智能研究院） ； Department of Computer and Data Sciences, Case Western Reserve University（凯斯西储大学计算机与数据科学系） ； Department of Biomedical Engineering, Case Western Reserve University（凯斯西储大学生物医学工程系） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV

AI总结 提出多原型对比学习框架，通过生成与强度对齐的异质原型、优化原型空间和对齐知识，有效建模类内异质性，提升半监督医学图像分割的多样性和精确性。

Comments Accepted by Medical Image Analysis

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation

基于基础模型的迭代提示与伪标签方法用于部分标注的医学图像分割

Qiaochu Zhao, Wei Wei, David Horowitz, Richard Bakst, Yading Yuan

机构 * Department of Biomedical Engineering, Columbia University（哥伦比亚大学生物医学工程系） ； Department of Radiation Oncology, Columbia University Irving Medical Center（哥伦比亚大学欧文医学中心放射肿瘤科） ； Data Science Institute, Columbia University（哥伦比亚大学数据科学研究所） ； Herbert Irving Comprehensive Cancer Center, Columbia University（哥伦比亚大学赫伯特·欧文综合癌症中心） ； Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai（西奈山伊坎医学院放射肿瘤科） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 本文提出IPnP框架，通过训练网络与冻结基础模型协作，迭代生成并优化未标注器官的伪标签，提升部分标注条件下医学图像分割性能。

Comments 5 pages, 5 figures. Accepted for presentation at IEEE International Symposium on Biomedical Imaging (ISBI) 2026

PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis

PIVM：基于扩散的先验集成变分建模用于解剖学精确的腹部CT合成

Dinglun He, Baoming Zhang, Xu Wang, Yao Hao, Deshan Yang, Ye Duan

机构 * Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA（密苏里大学电气工程与计算机科学系） ； Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA（德克萨斯大学达拉斯分校计算机科学系） ； Department of Radiation Oncology, Washington University in St. Louis, MO, USA（华盛顿大学圣路易斯分校放射肿瘤学系） ； Department of Radiation Oncology, Duke University, Durham, NC, USA（达特茅斯大学放射肿瘤学系） ； School of Computing, Clemson University, Clemson, SC, USA（克莱姆森大学计算机科学学院） 纠错

专题命中 医学影像 ：CT(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 本文提出PIVM框架，通过整合器官特定强度先验，实现高精度腹部CT图像合成，保留HU范围和细密解剖纹理。

Comments Accepted at the IEEE International Symposium on Biomedical Imaging (ISBI) 2026 (Oral). Equal contribution by the first three authors

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis

双同意见一致性学习与基础模型在半监督胎儿心脏超声分割与诊断中的应用

Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran

专题命中 医学影像 ：diagnosis(title,abstract)；分类 eess.IV

AI总结 本文提出FM-DACL框架，结合预训练超声基础模型与卷积网络，通过异质协同训练和指数移动平均教师，提升低标注胎儿心脏超声分析的可行性，实验显示Dice分数达59.66，NSD为42.82。

Comments Accepted to the ISBI 2026 Fetal HearT UltraSound Segmentation and Diagnosis (FETUS) Challenge

SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction

SDUM：一种可扩展的深度展开模型用于通用MRI重建

Puyang Wang, Pengfei Guo, Keyi Chai, Jinyuan Zhou, Daguang Xu, Shanshan Jiang

机构 * Johns Hopkins University（约翰霍普金斯大学） ； NVIDIA 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV

AI总结 SDUM是一种结合Restormer、CSME、SWDC和UC的通用MRI重建框架，通过级联扩展训练实现可扩展性，无需微调即可在多个挑战赛道上取得最佳性能。

Comments https://github.com/NVIDIA-Medtech/NV-Raw2insights-MRI

Direct low-field MRI super-resolution using undersampled k-space

利用 undersampled k-space 实现低场 MRI 的超分辨率

Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly

机构 * Department of Computer Science, University of Exeter（埃克塞特大学计算机科学系） ； UCL Hawkes Institute, University College London（伦敦大学学院霍克斯研究所） 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 本文提出了一种基于k空间的低场MRI超分辨率与图像质量转移方法，通过双通道U-Net直接从欠采样k空间重建高质量图像。

Comments 4 pages, 4 figures, conference (The IEEE International Symposium on Biomedical Imaging (ISBI))

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation

R2GenCSR: 为基于大语言模型的放射学报告生成挖掘上下文和残差信息

Xiao Wang, Yuehang Li, Fuling Wang, Shiao Wang, Chuanfu Li, Bo Jiang

机构 * School of Computer Science and Technology, Anhui University（安徽大学计算机科学与技术学院） ； First Affiliated Hospital of Anhui University of Chinese Medicine（安徽中医药大学第一附属医院） 纠错

专题命中 医学影像 ：radiology(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 R2GenCSR通过引入Mamba和上下文检索提升基于LLM的放射学报告生成性能

Comments R2GenCSR is accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2026

Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework

利用半监督教师-学生框架解决Brain Tumor Segmentation在3D MRI扫描中的数据标注稀缺问题

Jiaming Liu, Cheng Ding, Daoqiang Zhang

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（人工智能学院，南京航空航天大学） ； Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education（脑机智能技术重点实验室，教育部） ； Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics（深圳研究院，南京航空航天大学） 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 本文提出半监督教师-学生框架，通过置信度驱动课程学习和选择性遗忘，在有限标注下实现高效脑肿瘤分割，提升分割精度和鲁棒性。

Comments 10 pages, 7 figures. Submitted to IEEE Journal of Biomedical and Health Informatics (JBHI)

Automated Landmark Detection for assessing hip conditions: A Cross-Modality Validation of MRI versus X-ray

用于评估髋部状况的自动化标志点检测：MRI与X射线的跨模态验证

Roberto Di Via, Vito Paolo Pastore, Francesca Odone, Siôn Glyn-Jones, Irina Voiculescu

机构 * MaLGa Center, DIBRIS University of Genoa（MaLGa中心，热那亚大学DIBRIS学院） ； Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences University of Oxford（牛津大学风湿病学与肌肉骨骼科学系） ； Department of Computer Science University of Oxford（牛津大学计算机科学系） 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 本研究通过跨模态验证显示MRI与X射线在髋部FAI评估中具有等效的标志点检测能力，为自动化临床评估提供了可行性。

Comments Accepted at International Symposium on Biomedical Imaging (ISBI 2026)

When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation

当Swin Transformer遇见KANs：一种改进的Transformer架构用于医学图像分割

Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Fabian Vazquez, Pengfei Gu, Danny Z. Chen

机构 * Department of Computer Science and Engineering, University of Notre Dame（计算机科学与工程系，诺丁汉大学） ； Department of Computer Science, University of Texas Rio Grande Valley（计算机科学系，德克萨斯大学里奥格兰德谷分校） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(comments)

AI总结 UKAST结合KANs与Swin Transformer，提升医学图像分割的效率与准确性，尤其在数据稀缺情况下表现优异。

Comments This paper has been accepted for publication in the Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2026

An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior

Mehmet Ozan Unal, Metin Ertas, Isa Yildirim

专题命中 医学影像 ：CT(title,abstract)；分类 eess.IV；biomedical(journal_ref)

Journal ref Biomedical Signal Processing and Control 75 (2022) 103598

Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification

Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel

机构 * 1 School of Computation, Information ； Technology, Technical University of Munich, Germany 2 Munich Center for Machine Learning (MCML), Germany 3 Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany 4 School of Biomedical Engineering ； Imaging Sciences, King’s College London, UK 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(comments)

Comments Preprint. Submitted to the IEEE International Symposium on Biomedical Imaging (ISBI) 2026

MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI

Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss, Klaus Maier-Hein

机构 * German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany（德国癌症研究中心（DKFZ）海德堡，医学影像计算部，德国） ； Medical Faculty, Heidelberg University, Germany（海德堡大学医学学院，德国） ； Faculty of Mathematics and Computer Science, Heidelberg University（海德堡大学数学与计算机科学学院） ； Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany（放射肿瘤学系学习组，海德堡大学医院，海德堡，德国） 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV

Comments Winning Solution of the MICCAI 2025 ODELIA Breast MRI Classification Challenge

Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data

Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Shaoyang Zhang, Li Zhang, Quanzheng Li, Zhiqiang Chen, Dufan Wu

机构 * The Department of Engineering Physics, Tsinghua University（清华大学工程物理系） ； Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School（麻省总医院和哈佛医学院高级医学计算与分析中心） ； Department of Radiology, The Ohio State University（俄亥俄州立大学放射科） 纠错

专题命中 医学影像 ：CT(title,abstract)；分类 cs.CV；medical image(comments)

Comments 53 pages, 7 figures, submitted to Medical Image Analysis

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Xiaoyan Kui, Qianmu Xiao, Qqinsong Li, Zexin Ji, JIelin Zhang, Beiji Zou

机构 * School of Computer Science and Engineering（计算机科学与工程学院） ； Big Data Institute（大数据研究院） ； Department of Radiology（放射科） 纠错

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；medical image(journal_ref)

Comments This paper has been early accept by MICCAI 2025

Journal ref Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025, 208-218

Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays

Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina

机构 * Department of Computer Science, IT University of Copenhagen, Denmark（计算机科学系，丹麦IT大学） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(journal_ref)

Comments Submitted to ISBI 2023

Journal ref 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography

Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin-Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；medical image(journal_ref)

Comments 27 pages, 5 figures

Journal ref Medical Image Analysis (2025): 103476

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski

机构 * Visual Computing Group, Institute of Media Informatics, Ulm University, Germany（媒体信息研究所视觉计算组，乌尔姆大学，德国） ； Diagnostic and Interventional Radiology, Ulm University Medical Center, Germany（乌尔姆大学医学中心诊断与介入放射学） ； Axiom Bio, USA（Axiom Bio公司，美国） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV

Comments Accepted at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach

Zeduo Zhang, Yalda Mohsenzadeh

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；radiology(comments)

Comments 34 pages, 6 figures and 4 tables in main text, 17 pages supplementary material with 3 tables and 3 figures; Submitted to Radiology: Artificial Intelligence

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

Ashkan Moradi, Fadila Zerka, Joeran S. Bosma, Mohammed R. S. Sunoqrot, Bendik S. Abrahamsen, Derya Yakar, Jeroen Geerdink, Henkjan Huisman, Tone Frost Bathen, Mattijs Elschot

专题命中 医学影像 ：MRI(title,abstract)；分类 eess.IV；radiology(comments)

Comments 25 pages, 6 figures, 4 tables. Accepted for publication in Radiology: Artificial Intelligence, \c{opyright} 2025 Radiological Society of North America (RSNA)

UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM

Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere, Gourav Modanwal, Anant Madabhushi

机构 * Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, USA（密歇根大学电气工程与计算机科学系） ； Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA（佐治亚理工学院和埃默里大学沃森·霍尔生物医学工程系） ； Computer Science Department, University of Michigan, Ann Arbor, USA（密歇根大学计算机科学系） ； Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology（佐治亚理工学院沃森·霍尔生物医学工程系） ； Emory University, Atlanta, USA（埃默里大学） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(journal_ref)

Journal ref Published in: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification

Yicheng Gao, Jinkui Hao, Bo Zhou

机构 * Department of Radiology, Northwestern University（放射科，西北大学） 纠错

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV

Comments This work has been submitted to Medical Image Analysis, Elsevier for possible publication

Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?

Umaima Rahman, Raza Imam, Mohammad Yaqub, Boulbaba Ben Amor, Dwarikanath Mahapatra

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(comments)

Comments Conference paper at International Symposium on Biomedical Imaging (ISBI) 2025

Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization

Farzad Beizaee, Gregory A. Lodygensky, Chris L. Adamson, Deanne K. Thompso, Jeanie L. Y. Cheon, Alicia J. Spittl. Peter J. Anderso, Christian Desrosier, Jose Dolz

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；medical image(journal_ref)

Journal ref Medical Image Analysis, 2025

World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography

Rudolf L. M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink, Steffen Bruns, Eva R. Meulendijks, Damini Dey, Joris R. de Groot, José P. Henriques, R. Nils Planken, Simone Saitta, Ivana Išgum

专题命中 医学影像 ：CT(title)；medical image(abstract,comments)；分类 eess.IV

Comments Submitted to Medical Image Analysis

Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation

Yanyan Wang, Kechen Song, Yuyuan Liu, Shuai Ma, Yunhui Yan, Gustavo Carneiro

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV

Comments Medical Image Analysis

Foundation Models in Radiology: What, How, When, Why and Why Not

Magdalini Paschali, Zhihong Chen, Louis Blankemeier, Maya Varma, Alaa Youssef, Christian Bluethgen, Curtis Langlotz, Sergios Gatidis, Akshay Chaudhari

专题命中 医学影像 ：radiology(title,abstract)；分类 cs.LG

Comments This pre-print has been accepted for publication in Radiology. (DOI for the peer-reviewed article: 10.1148/radiol.240597)

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Jakob Nolte, Maureen M. J. Guichelaar, Donald E. Bouman, Stephanie M. van den Berg, Maryam Amir Haeri

专题命中 医学影像 ：MRI(title,abstract)；分类 cs.CV；biomedical(comments)

Comments Submitted for publication to Biomedical Signal Processing and Control; Incorrect notation corrected

HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation

Xiaofei Huang, Hongfang Gong, Jin Zhang

专题命中 医学影像 ：medical image(title,abstract)；分类 cs.CV；biomedical(journal_ref)

Journal ref IEEE Journal of Biomedical and Health Informatics, 2024

Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies

Jiahao Huang, Yinzhe Wu, Fanwen Wang, Yingying Fang, Yang Nan, Cagan Alkan, Daniel Abraham, Congyu Liao, Lei Xu, Zhifan Gao, Weiwen Wu, Lei Zhu, Zhaolin Chen, Peter Lally, Neal Bangerter, Kawin Setsompop, Yike Guo, Daniel Rueckert, Ge Wang, Guang Yang

专题命中 医学影像 ：MRI(title,abstract)；分类 eess.SP；biomedical(comments)

Comments Accepted by IEEE Reviews in Biomedical Engineering (RBME)