医学 AI

Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression

Sisipho Hamlomo, Marcellin Atemkeng

机构 * Department of Statistics, Rhodes University（统计学系，罗德斯大学） ； Department of Mathematics, Rhodes University（数学系，罗德斯大学） ； National Institute for Theoretical and Computational Sciences (NITheCS)（理论与计算科学国家研究所） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Challenges, Advances, and Evaluation Metrics in Medical Image Enhancement: A Systematic Literature Review

Chun Wai Chin, Haniza Yazid, Hoi Leong Lee

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

MedDINOv3: How to adapt vision foundation models for medical image segmentation?

Yuheng Li, Yizhou Wu, Yuxiang Lai, Mingzhe Hu, Xiaofeng Yang

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Emory University（埃默里大学） ； Emory University School of Medicine（埃默里大学医学院） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Weitong Wu, Zhaohu Xing, Jing Gong, Qin Peng, Lei Zhu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Department of Radiology, Fudan University Shanghai Cancer Center（复旦大学上海肿瘤中心放射科） ； Department of Oncology, Shanghai Medical College, Fudan University（复旦大学上海医学院肿瘤科） ； The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；biomedical(abstract)

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Yingtai Li, Haoran Lai, Xiaoqian Zhou, Shuai Ming, Wenxin Ma, Wei Wei, Shaohua Kevin Zhou

机构 * School of Biomedical Engineering, Division of Life Sciences ； Medicine, University of Science ； Technology of China (USTC), Hefei Anhui, 230026, China Center for Medical Imaging, Robotics, Analytic Computing \& Learning (MIRACLE), Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China The First Affiliated Hospital of USTC, Division of Life Sciences ； Medicine, USTC, Hefei Anhui, 230001, China Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China State Key Laboratory of Precision 纠错

专题命中 医学影像 ：radiology(title,abstract)；medical AI(abstract)；CT(abstract)；diagnosis(abstract)

Comments MICCAI 2025

Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks

Asadullah Bin Rahman, Masud Ibn Afjal, Md. Abdulla Al Mamun

专题命中 医学影像 ：MRI(title,abstract)；medical image(abstract)；CT(abstract)；diagnosis(abstract)

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis

Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur, Gorkhem Durak, Ulas Bagci

机构 * Northwestern University（西北大学） ； Stanford University（斯坦福大学） 纠错

专题命中 医学影像 ：pathology(title,abstract)；medical image(abstract)；MRI(abstract)；CT(abstract)

Comments Accepted in ICCV 2025

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

Inye Na, Nejung Rue, Jiwon Chung, Hyunjin Park

机构 * Department of Artificial Intelligence, Sungkyunkwan University, Suwon 16419, South Korea（人工智能系，顺天大学，Suwon 16419, 韩国） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments Accepted at MICCAI 2025

Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration

Honglong Yang, Shanshan Song, Yi Qin, Lehan Wang, Haonan Wang, Xinpeng Ding, Qixiang Zhang, Bodong Du, Xiaomeng Li

机构 * Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology（电子与计算机工程系，香港科学与技术大学） ； Department of Computer Science and Engineering, The Hong Kong University of Science and Technology（计算机科学与工程系，香港科学与技术大学） 纠错

专题命中 医学影像 ：medical AI(title,abstract)；medical image(abstract)；radiology(abstract)；biomedical(abstract)

Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI

F. Terhag, P. Knechtges, A. Basermann, R. Tempone

专题命中 医学影像 ：MRI(title,abstract)；medical image(abstract)；diagnosis(abstract)；biomedical(abstract)

Journal ref SIAM/ASA Journal on Uncertainty Quantification 13 (1), 2025, 90-113

MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation

Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao

机构 * Concordia University（康考迪亚大学） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments 10 pages, 2 figures, 6 tables

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang

机构 * DAMO Academy, Alibaba Group（达摩院（阿里巴巴集团）） ； The First Affiliated Hospital of College of Medicine, Zhejiang University（浙江大学医学院附属第一医院） ； Zhejiang University（浙江大学） ； Westlake University（西湖大学） 纠错

专题命中 医学影像 ：CT(title,abstract)；medical image(abstract)；diagnosis(abstract)；radiology(abstract)

Comments Accepted by ICLR 2025

Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification

MD Shaikh Rahman, Feiroz Humayara, Syed Maudud E Rabbi, Muhammad Mahbubur Rashid

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments 34 pages, 5 figures

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer

Sungmin Kang, Jaeha Song, Jihie Kim

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments Accepted in BMVC 2024

Active Learning on Medical Image

Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali, Ismail Hossain, Md Azim Ullah, Sajedul Talukder

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments 12 pages, 8 figures; Acceptance of the chapter for the Springer book "Data-driven approaches to medical imaging"

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Landman, Daguang Xu, Yufan He, Vishwesh Nath

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；radiology(abstract)

Comments Preprint

Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices

Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham

专题命中 医学影像 ：CT(title,abstract)；medical image(abstract)；MRI(abstract)；diagnosis(abstract)

Comments Accepted for presentation at the 22nd IEEE Statistical Signal Processing (SSP) workshop

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Na Wang, Yechong Huang, Xiaodi Huang, Tao Song, Liang Zhao, Xinglong Liu, Qing Xia, Zhiqiang Hu, Yinan Chen, Shaoting Zhang

专题命中 医学影像 ：medical image(title,abstract)；pathology(abstract)；diagnosis(abstract)；radiology(abstract)

Comments 15 pages, 16 figures

D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation

Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification

Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay

专题命中 医学影像 ：MRI(title,abstract)；medical image(abstract)；pathology(abstract)；diagnosis(abstract)

Comments MICCAI 2021

Journal ref MICCAI 2021

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；biomedical(abstract)

Comments 10 pages, 8 figures

Modern Convex Optimization to Medical Image Analysis

Jing Yuan, Aaron Fenster

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments Book chapter, in submission

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang

专题命中 医学影像 ：medical image(title,abstract)；pathology(abstract)；diagnosis(abstract)；radiology(abstract)

A Generalizable Deep Learning System for Cardiac MRI

可泛化的心脏磁共振成像深度学习系统

Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Mrudang Mathur, Robyn Fong, Joseph Cho, Ross Warren Filice, John Mongan, Kimberly Kalianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter R. Witschey, Alejandro de Feria, Victor A. Ferrari, Euan A. Ashley, Michael A. Acker, Curtis Langlotz, William Hiesinger

机构 * Division of Cardiovascular Surgery, Department of Surgery, University of Pennsylvania（宾夕法尼亚大学心血管外科 division） ； Department of Cardiothoracic Surgery, Stanford University（斯坦福大学心胸外科 department） ； Department of Radiology, Medstar Georgetown University Hospital（梅奥医疗中心乔治城大学医院放射科 department） ； Department of Radiology and Biomedical Imaging, University of California, San Francisco（加州大学旧金山分校放射科和生物医学成像 department） ； Bunkerhill Health, San Francisco（旧金山布纳克希尔健康机构） ； Department of Radiology, University of Pennsylvania（宾夕法尼亚大学放射科 department） ； Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania（宾夕法尼亚大学心血管医学 division） ； Division of Cardiovascular Medicine, Department of Medicine, Genetics, and Biomedical Data Science, Stanford University（斯坦福大学心血管医学 division） ； Department of Radiology, Medicine, and Biomedical Data Science, Stanford University（斯坦福大学放射科、医学和生物医学数据科学 department） 纠错

专题命中 医学影像 ：MRI(title,abstract)；diagnosis(abstract)；radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

AI总结 本文提出一种可泛化的心脏MRI深度学习系统，通过自监督对比学习从放射科报告文本中学习心脏MRI动态序列中的视觉概念，展示了在多种任务上的卓越性能，包括左心室射血分数回归和39种心脏疾病的诊断。

Comments Published in Nature Biomedical Engineering; Supplementary Appendix available on publisher website. Code: https://github.com/rohanshad/cmr_transformer

Journal ref Nat. Biomed. Eng (2026)

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors

Ramy A. Zeineldin, Franziska Mathis-Ullrich

专题命中 医学影像 ：MRI(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted in the Computer Assisted Radiology and Surgery (CARS 2024) Conference

How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach

Jin Zhu, Guang Yang, Pietro Lio

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 5 pages, 4 figure, 1 table. Accepted at 2019 IEEE International Symposium on Biomedical Imaging (ISBI)

SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint

SAMRI-2: 一种基于记忆的模型用于膝关节3D MRI中软骨和半月板分割

Danielle L. Ferreira, Bruno A. A. Nunes, Xuzhe Zhang, Laura Carretero Gomez, Maggie Fung, Ravi Soni

专题命中 医学影像 ：MRI(title_cn,summary_cn)；分类 cs.CV、eess.IV

AI总结 SAMRI-2通过基于记忆的视觉基础模型实现膝关节3D MRI中软骨和半月板的高精度分割，优于其他模型，显著提升分割精度与效率。

Journal ref Scientific Reports 16, 1825 (2026)

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation

可信医学分割：临床图像退化下的不确定性感知U-Net评估

Pranav Kaliaperumal, Manisha Kaliaperumal

机构 * University of Colorado Denver（科罗拉多大学丹佛分校） ； Creighton University（克里顿大学） 纠错

专题命中 医学影像 ：MRI(summary_cn,abstract)；medical image(abstract)；radiology(abstract)；分类 cs.CV、cs.LG

AI总结 研究在临床图像退化下评估医学分割模型的不确定性，提出可重现框架，用合成脑肿瘤MRI队列训练U-Net等模型，经多种损坏类型及不同严重程度测试，结果表明不确定性感知推理可作安全层，还开源相关代码、模型和协议。

Brain MR Image Synthesis with 3D Multi-Contrast Self-Attention GAN

利用3D多对比自注意GAN进行脑部MRI图像合成

Zaid A. Abod, Furqan Aziz

机构 * School of Computing and Mathematical Sciences, University of Leicester（利兹大学计算与数学科学学院） 纠错

专题命中 医学影像 ：MRI(title_cn,summary_cn)；分类 cs.CV、eess.IV

AI总结 本文提出3D-MC-SAGAN框架，通过单张T2w图像生成高保真多对比MRI图像，保留肿瘤特征，结合多种损失函数提升全局真实感和肿瘤结构保真度。

Comments Note: This work has been submitted to the IEEE for possible publication

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg

面向对比度和病理无关的临床胎儿脑MRI分割的SynthSeg方法

Ziyao Shang, Misha Kaandorp, Kelly Payette, Marina Fernandez Garcia, Roxane Licandro, Georg Langs, Jordina Aviles Verdera, Jana Hutter, Bjoern Menze, Gregor Kasprian, Meritxell Bach Cuadra, Andras Jakab

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

AI总结 本文提出了一种数据驱动的训练时采样策略，用于提升胎儿脑MRI分割的域通用性，通过SynthSeg框架实现更广泛的域偏移适应。

Comments 29 pages, 12 figures

Journal ref NeuroImage 327 (2026)