医学 AI

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)

Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization

Marina Grifell i Plana, Vladyslav Zalevskyi, Léa Schmidt, Yvan Gomez, Thomas Sanchez, Vincent Dunet, Mériam Koob, Vanessa Siffredi, Meritxell Bach Cuadra

机构 * Univeristat Politècnica de Catalunya, Barcelona, Spain（巴塞罗那理工大学） ； Department of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland（拉索恩大学医院放射科） ； University of Lausanne (UNIL), Lausanne, Switzerland（洛桑大学） ； CIBM Center for Biomedical Imaging, Lausanne, Switzerland（瑞士拉索恩生物医学成像中心） ； BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Universitat de Barcelona, Barcelona, Spain（巴塞罗那大学BCNatal胎儿医学研究中心） ； Department Woman-Mother-Child, CHUV, Lausanne, Switzerland（瑞士拉索恩大学医院妇女-母亲-儿童部门） 纠错

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

Comments Presented at the PIPPI Workshop of MICCAI 2025

Journal ref Link-Sourani, D., Abaci Turk, E., Bastiaansen, W., Hutter, J., Melbourne, A., Licandro, R. (eds) Perinatal, Preterm and Paediatric Image Analysis. PIPPI 2025. Lecture Notes in Computer Science, vol 16118. Springer, Cham

How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model

Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski

机构 * Department of Electrical and Computer Engineering, Duke University, US（杜克大学电气与计算机工程系） ； Department of Biostatistics & Bioinformatics, Duke University, US（杜克大学生物统计学与生物信息学系） ； Department of Computer Science, Duke University, US（杜克大学计算机科学系） ； Department of Radiology, Duke University, US（杜克大学放射学系） 纠错

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA)

Journal ref Machine.Learning.for.Biomedical.Imaging. 3 (2025)

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis

Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Lucia Migliorelli, Maria Francesca Spadea

机构 * Institute of Biomedical Engineering（生物医学工程研究所） ； Karlsruhe Institute of Technology（卡尔斯鲁厄理工大学） ； Department of Radiation Oncology（放射肿瘤科） ； University Medical Center Schleswig-Holstein（什勒斯威-霍斯特大学医院） ； Department of Experimental and Clinical Medicine（实验与临床医学系） ； Magna Graecia University（马格拉西亚大学） ； Department of Information Engineering（信息工程系） ； Università Politecnica delle Marche（帕尔米拉理工大学） 纠错

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

Journal ref Computers in Biology and Medicine, Volume 192, Part A, June 2025, 110160

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation

Shiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty

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

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings

Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh

专题命中 医学影像 ：CT(title,abstract)；medical AI(title)；分类 cs.CV、cs.LG

Rethinking U-net Skip Connections for Biomedical Image Segmentation

Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger

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

Comments 9 pages, 9 figures. This work has been submitted to the IEEE for possible publication

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI

Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamad Khadra, Jinman Kim

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

Comments 13 pages, 7 figures

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng

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

Comments Accepted at MICCAI 2024. Code and citation info see https://github.com/lin-tianyu/Stable-Diffusion-Seg

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction

Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Xiongchao Chen, Qiong Liu, Xueqi Guo, Menghua Xia, James S. Duncan, Chi Liu, Bo Zhou

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

Comments 15 pages, 7 figures

A kinetic approach to consensus-based segmentation of biomedical images

Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari, Silvia Figini, Mattia Zanella

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

Comments 29 pages, 13 figures

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare

Keshav Kumar K., Dr N V S L Narasimham

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

Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records

Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

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

Journal ref Takagi, Yusuke, et al. "Transformer-based personalized attention mechanism for medical images with clinical records." Journal of Pathology Informatics (2023): 100185

POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models

Aeyan Ashraf, Asad Malik, Zahid Khan

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

Journal ref 2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

TransMorph: Transformer for unsupervised medical image registration

Junyu Chen, Eric C. Frey, Yufan He, William P. Segars, Ye Li, Yong Du

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

Comments Accepted to Medical Image Analysis ((c) MedIA). Code available at https://bit.ly/37eJS6N | This version: Several typographical errors were fixed

Journal ref Medical Image Analysis (2022) 102615

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images

Juan E. Arco, Andrés Ortiz, Javier Ramírez, Francisco J. Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan M. Górriz

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

Comments 15 pages, 9 figures

Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach

Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein

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

Comments Martijn P.A. Starmans and Milea J.M. Timbergen contributed equally

Journal ref J Digit Imaging (2022)

Transformer based Generative Adversarial Network for Liver Segmentation

Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci

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

Journal ref ICPAI 2021

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubicek, Jiri Chmelik, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

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

Comments Challenge report for the VerSe 2019 and 2020. Published in Medical Image Analysis (DOI: https://doi.org/10.1016/j.media.2021.102166)

Journal ref Medical Image Analysis, Volume 73, October 2021, 102166

Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT

Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan

专题命中 医学影像 ：CT(title,abstract)；diagnosis(abstract)；radiology(abstract)；分类 cs.CV、cs.LG、q-bio

Comments 35 pages, 4 figures, 5 Tables. Paper in review by Expert Systems with Applications

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

Ange Lou, Shuyue Guan, Murray Loew

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