医学 AI

FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification

Jun Luo, Shandong Wu

专题命中 医学数据与评测 ：medical image(title)；分类 cs.LG

Comments 10 pages

Towards Privacy-preserving Explanations in Medical Image Analysis

H. Montenegro, W. Silva, J. S. Cardoso

专题命中 医学数据与评测 ：medical image(title)；分类 cs.CV

Comments 7 pages, 5 figures, accepted at Workshop on Interpretable ML in Healthcare at ICML2021

Metric Surface Reconstruction of Neurosurgical Scenes from Monocular Operating Microscope Images and Microscope Pose

从单目手术显微镜图像和显微镜位姿重建神经外科场景的度量曲面

Thomas Bucher, Didier Neuenschwander, Thomas Petutschnigg, Michael Murek, David Bervini, Andreas Raabe, Manuela Eugster

专题命中 医学数据与评测 ：CT(abstract,abstract_cn)；分类 cs.CV、eess.IV

AI总结 研究能否从单目手术显微镜图像和位姿数据重建神经外科场景的三维几何度量，利用预训练模型估计深度、泊松曲面重建点云成网格，结果显示该方法在模型设置中有技术可行性，支持相关手术技术进一步发展。

Expert Evaluation of Clinical AI Tools on Real Point-of-Care Clinical Queries

临床AI工具在真实点-of-care临床查询上的专家评估

Jean Feng, Vishal Patel, Patrick Heagerty, Yifan Mai, Venkatesh Sivaraman, Patrick Vossler, Jialin Ouyang, Anupam B. Jena

机构 * Harvard Medical School（哈佛医学院） ； Brigham and Women’s Hospital（布莱尔妇女医院） ； Massachusetts General Hospital（麻省总医院） ； National Bureau of Economic Research（美国经济研究局） 纠错

专题命中 医学数据与评测 ：clinical AI(title)；分类 q-bio

AI总结 本研究通过620个真实临床查询和149名医生评估，比较了专用临床AI工具与通用模型在准确性、实用性等五维度的表现，发现专用工具在所有维度上显著优于通用模型，并发布了公开基准。

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-View Matching

基于解剖学的合成冠状动脉造影用于几何感知的多视图匹配

In Kyu Lee, Sumin Seo, Jaesik Min

机构 * Medipixel, Inc.（Medipixel公司） ； University of California San Diego（加州大学圣地亚哥分校） 纠错

专题命中 医学数据与评测 ：CT(abstract,abstract_cn)；分类 cs.CV、eess.IV

AI总结 提出物理基础数据生成框架，从3D CCTA合成高保真DRR，结合几何信息匹配模块GIMM，实现无人工标注的2D对应点学习。

Comments Accepted at MICCAI 2026. Code and dataset: http://github.com/medipixel/GIMM

Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification

并行多电路量子特征融合在混合量子-经典卷积神经网络中的应用：用于乳腺肿瘤分类

Ece Yurtseven

机构 * Robert College of Istanbul（伊斯坦布尔罗伯特学院） 纠错

专题命中 医学数据与评测 ：medical image(abstract)；biomedical(abstract)；分类 cs.LG、eess.IV

AI总结 本文提出一种混合量子-经典卷积神经网络架构，利用量子电路与经典特征融合提升乳腺肿瘤二分类性能，通过统计检验验证量子方法在医学图像分类中的有效性。

Comments Accepted to QCNC 2026

Enhanced Leukemic Cell Classification Using Attention-Based CNN and Data Augmentation

基于注意力机制的CNN与数据增强的白血病细胞分类增强

Douglas Costa Braga, Daniel Oliveira Dantas

机构 * Departamento de Computação, Universidade Federal de Sergipe（计算机系，塞尔希佩联邦大学） 纠错

专题命中 医学数据与评测 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 本文提出基于注意力机制的CNN与数据增强方法，实现白血病细胞分类的高准确率与高效参数使用。

Comments 9 pages, 5 figures, 4 tables. Submitted to VISAPP 2025

TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis

TwinSegNet: 一种基于数字孪生的联邦学习框架用于脑肿瘤分析

Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu

机构 * Department of Computer Science and Information Sciences, Towson University, USA（塔森大学计算机科学与信息科学系） 纠错

专题命中 医学数据与评测 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 TwinSegNet通过整合混合ViT-UNet模型与个性化数字孪生，实现了隐私保护的联邦学习框架，用于准确且实时的脑肿瘤分割。

Comments IEEE Virtual Conference on Communications. 4-6 November 2025

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

专题命中 医学数据与评测 ：medical image(abstract)；MRI(abstract)；分类 cs.LG、eess.IV

Comments I have changed the methodology because of some technical errors in this version

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, Brandon Westover, Shenda Hong

机构 * National Institute of Health Data Science, Peking University（北京大学国家健康数据科学研究院） ； Department of Cardiology, Massachusetts General Hospital（麻省总医院心内科） ； Department of Biomedical Informatics, School of Medicine, Emory University（埃默里大学医学院生物医学信息学系） ； Department of Biomedical Engineering, Georgia Institute of Technology（佐治亚理工学院生物医学工程系） ； Harvard Medical School（哈佛医学院） ； Department of Neurology, Beth Israel Deaconess Medical Center（贝斯以色列医疗中心神经科） ； Department of Computing, Data Science Institute, Imperial College London（伦敦帝国学院计算系、数据科学研究所） ； Zhongshan School of Medicine, Sun Yat-sen University（中山医学院，孙逸仙大学） ； Institute of Medical Technology, Peking University Health Science Center（北京大学医学技术研究所，北京大学医学部） ； Institute for Artificial Intelligence, Peking University（北京大学人工智能研究院） 纠错

专题命中 医学数据与评测 ：medical AI(abstract)；diagnosis(abstract)；分类 cs.LG、eess.SP

Comments Code: https://github.com/PKUDigitalHealth/ECGFounder

IAUNet: Instance-Aware U-Net

Yaroslav Prytula, Illia Tsiporenko, Ali Zeynalli, Dmytro Fishman

机构 * Institute of Computer Science, University of Tartu（塔尔图大学计算机科学研究所） ； Ukrainian Catholic University（乌克兰天主教大学） ； STACC OÜ（STACC公司） 纠错

专题命中 医学数据与评测 ：medical image(abstract)；biomedical(abstract)；分类 cs.CV、cs.LG

Comments Published in CVPR Workshops (CVMI), 2025. Project page/code/models/dataset: $\href{https://slavkoprytula.github.io/IAUNet/}{\text{this https URL}}$

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025, pp. 4739-4748

MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models

Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Chaoyu Zhang, Marius George Linguraru, Y. Thomas Hou, Syed Muhammad Anwar, Wenjing Lou

机构 * Children's National Hospital（儿童医院） ； Children's National Hospital, George Washington University（儿童医院与乔治华盛顿大学） 纠错

专题命中 医学数据与评测 ：medical image(abstract)；MRI(abstract)；分类 cs.LG、eess.IV

Comments Accepted by the IEEE/ACM conference on Connected Health: Applications, Systems and Engineering Technologies 2025 (CHASE'25)

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset

Tyler J. Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Judice de Mattos Farina, Eduardo Caminha Nunes, Michael Brassil, Megan McNamara, Johanna Ortiz, Jacob Peoples, Vinson L. Uytana, Anthony Kam, Venkata N. S. Dola, Daniel Murphy, David Vu, Dataset Contributor Group, Dataset Annotator Group, Competition Data Notebook Group, Jason F. Talbott

专题命中 医学数据与评测 ：MRI(abstract)；radiology(abstract)；分类 cs.CV、eess.IV

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2

Md. Zahid Hossain, Mustofa Ahmed, Most. Sharmin Sultana Samu, Md. Rakibul Islam

专题命中 医学数据与评测 ：medical AI(abstract)；radiology(abstract)；分类 cs.CV、eess.IV

Comments Preprint, manuscript under-review

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Viktor Rogowski, Lars E Olsson, Jonas Scherman, Emilia Persson, Mustafa Kadhim, Sacha af Wetterstedt, Adalsteinn Gunnlaugsson, Martin P. Nilsson, Nandor Vass, Mathieu Moreau, Maria Gebre Medhin, Sven Bäck, Per Munck af Rosenschöld, Silke Engelholm, Christian Jamtheim Gustafsson

专题命中 医学数据与评测 ：MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

Comments 4 figures

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Zhenhuan Zhou, Yuchen Zhang, Ruihong Xu, Xuansen Zhao, Tao Li

专题命中 医学数据与评测 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 11 pages & Under Review

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Chao He, Lin Luo, Hao Chen

专题命中 医学数据与评测 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset

Zheng Gong, Zhuo Deng, Run Gan, Zhiyuan Niu, Lu Chen, Canfeng Huang, Jia Liang, Weihao Gao, Fang Li, Shaochong Zhang, Lan Ma

专题命中 医学数据与评测 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 11 pages, 7 figures

Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network

Hongqiu Wang, Zhaohu Xing, Weitong Wu, Yijun Yang, Qingqing Tang, Meixia Zhang, Yanwu Xu, Lei Zhu

专题命中 医学数据与评测 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments ACMMM 24 MCHM

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal

专题命中 医学数据与评测 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments Accepted to MICCAI 2024

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

Emma A. M. Stanley, Raissa Souza, Anthony Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert

专题命中 医学数据与评测 ：clinical AI(abstract)；medical image(abstract)；分类 cs.CV、cs.LG

Comments Published in the Journal of the American Medical Informatics Association

Journal ref Journal of the American Medical Informatics Association, 2024;, ocae165

Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)

Diana Waldmannstetter, Ivan Ezhov, Benedikt Wiestler, Francesco Campi, Ivan Kukuljan, Stefan Ehrlich, Shankeeth Vinayahalingam, Bhakti Baheti, Satrajit Chakrabarty, Ujjwal Baid, Spyridon Bakas, Julian Schwarting, Marie Metz, Jan S. Kirschke, Daniel Rueckert, Rolf A. Heckemann, Marie Piraud, Bjoern H. Menze, Florian Kofler

专题命中 医学数据与评测 ：medical image(abstract)；biomedical(abstract)；分类 cs.CV、eess.IV

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang

专题命中 医学数据与评测 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 10 pages, 1 figure, 6 tables, Early Accept to MICCAI 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo

专题命中 医学数据与评测 ：medical image(abstract)；biomedical(abstract)；分类 cs.CV、eess.IV

Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture

Zarif Ahmed, Chowdhury Nur E Alam Siddiqi, Fardifa Fathmiul Alam, Tasnim Ahmed, Tareque Mohmud Chowdhury

专题命中 医学数据与评测 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments To be published in "6th IVPR & 11th ICIEV"

A Large-scale Medical Visual Task Adaptation Benchmark

Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li

专题命中 医学数据与评测 ：medical image(abstract)；CT(abstract)；分类 cs.CV、cs.LG

Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification

Luffina C. Huang, Darren J. Chiu, Manish Mehta

专题命中 医学数据与评测 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

CPAISD: Core-penumbra acute ischemic stroke dataset

D. Umerenkov, S. Kudin, M. Peksheva, D. Pavlov

专题命中 医学数据与评测 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations

Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva

专题命中 医学数据与评测 ：medical image(abstract)；CT(abstract)；分类 cs.CV、eess.IV

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images

Kenan Morani, Esra Kaya Ayana, Devrim Unay

专题命中 医学数据与评测 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV