医学 AI

TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

TriFusion-SR：联合三模态医学图像融合与超分辨率

Fayaz Ali Dharejo, Sharif S. M. A., Aiman Khalil, Nachiket Chaudhary, Rizwan Ali Naqvi, Radu Timofte

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

AI总结 TriFusion-SR通过联合三模态医学图像融合与超分辨率技术，利用小波引导的条件扩散框架实现频率感知的跨模态交互，提升图像质量和分辨率。

Attention-Driven Framework for Non-Rigid Medical Image Registration

基于注意力机制的非刚性医学图像配准框架

Muhammad Zafar Iqbal, Ghazanfar Farooq Siddiqui, Anwar Ul Haq, Imran Razzak

机构 * Department of Computer Sciences, Quaid-i-Azam University (QAU)（夸赞大学计算机科学系） ； School of Engineering and Technology, Centre for Intelligent Systems, CQU Sydney（悉尼大学工程与技术学院） ； MBZUAI（穆扎布哈大学） ； UNSW Sydney（悉尼新南威尔士大学） 纠错

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

AI总结 本文提出基于注意力机制的非刚性医学图像配准框架AD-RegNet，结合3D UNet与双向交叉注意力，实现高精度且高效的图像配准，适用于多种解剖结构和成像模态。

A Hybrid Mamba-SAM Architecture for Efficient 3D Medical Image Segmentation

一种用于高效3D医学图像分割的混合Mamba-SAM架构

Mohammadreza Gholipour Shahraki, Mehdi Rezaeian, Mohammad Ghasemzadeh

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

AI总结 本文提出一种混合Mamba-SAM架构，结合冻结SAM编码器与Mamba模型，提升3D医学图像分割的效率与精度。

Exploiting DINOv3-Based Self-Supervised Features for Robust Few-Shot Medical Image Segmentation

利用基于DINOv3的自监督特征进行鲁棒的小样本医学图像分割

Guoping Xu, Jayaram K. Udupa, Weiguo Lu, You Zhang

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

AI总结 本文提出DINO-AugSeg框架，利用DINOv3特征结合小波域增强和上下文融合，提升小样本医学图像分割的鲁棒性。

Comments 36 pages, 11 figures

NEURO-GUARD: Neuro-Symbolic Generalization and Unbiased Adaptive Routing for Diagnostics -- Explainable Medical AI

NEURO-GUARD：神经符号泛化与无偏自适应路由用于诊断——可解释的医疗AI

Midhat Urooj, Ayan Banerjee, Sandeep Gupta

机构 * Arizona State University（亚利桑那州立大学） 纠错

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

AI总结 NEURO-GUARD通过整合视觉变换器与语言驱动推理，提升医疗图像诊断的准确性、透明性和泛化能力。

Comments Accepted at Asilomar Conference

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation

一种大规模基准用于医学图像分割中的测试时间适应方法

Wenjing Yu, Shuo Jiang, Yifei Chen, Shuo Chang, Yuanhan Wang, Beining Wu, Jie Dong, Mingxuan Liu, Shenghao Zhu, Feiwei Qin, Changmiao Wang, Qiyuan Tian

机构 * Hangzhou Dianzi University（杭州电子科技大学） ； Tsinghua University（清华大学） ； Shenzhen Research Institute of Big Data（深圳大数据研究院） 纠错

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

AI总结 MedSeg-TTA提出一个大规模基准，评估医学图像分割中测试时间适应方法的跨模态性能，揭示不同方法在不同偏移条件下的优劣。

Comments 45 pages, 18 figures

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

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

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)