医学 AI

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

机构 * Duke University（杜克大学） ； Arizona State University（亚利桑那州立大学） 纠错

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

机构 * Rice University（莱斯大学） ； The Johns Hopkins University（约翰斯·霍普金斯大学） ； McGovern Medical School, UTHealth Houston（德克萨斯大学健康科学中心休斯顿分校麦戈文医学院） ； The Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院） ； Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院西德尼·基梅尔综合癌症中心） ； Google Research（谷歌研究院） ； Department of Neurosurgery, The Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院神经外科） 纠错

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

Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans

Rajesh Kumar, WenYong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan

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

Comments 15 Pages, 5 Tables, 11 Figures, Journal Paper, Elsevier format

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease

Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John C. van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt

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

Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis

Enamundram M. V. Naga Karthik, Catherine Laporte, Farida Cheriet

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

Comments To appear in the Proceedings of the SPIE Medical Imaging Conference 2021, San Diego, CA. 9 pages, 4 figures in total

Journal ref Proceedings Volume 11596, SPIE Medical Imaging 2021: Image Processing; 115961H

Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images

Vitaly Nikolaev

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

Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints

Long Chen, Martin Strauch, Dorit Merhof

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

Comments MICCAI 2019

Journal ref vol 11764, pp 451-459, MICCAI 2019

UOLO - automatic object detection and segmentation in biomedical images

Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho

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

Comments Publised on DLMIA 2018. Licensed under the Creative Commons CC-BY-NC-ND 4.0 license: http://creativecommons.org/licenses/by-nc-nd/4.0/

Journal ref 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. 165-173

Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI

Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven Raman, Kyung hyun Sung

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

Comments 6 pages, 5 figures, 2019 International Conference on Computer Vision - Visual Recognition for Medical Images Workshop

Constrained estimation of rotational invariants of the cumulant expansion (RICE) for rapid tensor-valued diffusion MRI

用于快速张量值扩散MRI的累积量展开旋转不变量（RICE）的约束估计

Jinyang Yu, Oliver Gödicke, Frederik B. Laun, Obada T. Alhalabi, Iris A. Kohler, Jürgen Hesser, Sandro M. Krieg, Bogdana Suchorska, Heinz-Peter Schlemmer, Mark E. Ladd, David Bonekamp, Johann M. E. Jende, Tristan A. Kuder

专题命中 医学影像 ：MRI(title,title_cn)

AI总结 本研究提出用约束加权线性最小二乘（CWLLS）稳定快速累积量展开旋转不变量（RICE）的拟合，其速度比约束q空间轨迹成像（QTI）快160倍，可生成高质量dMRI参数图谱，提升组织表征可靠性。

Comments 11 pages, 5 figures. Jinyang Yu and Oliver Gödicke contributed equally to this work. Submitted to Magnetic Resonance in Medicine

MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform

MRSeqStudio：一个基于自由开源网页平台的MRI序列设计与模拟即服务工具

Pablo Villacorta-Aylagas, Manuel Rodríguez-Cayetano, Carlos Castillo-Passi, Pablo Irarrazaval, Federico Simmross-Wattenberg, Carlos Alberola-López

专题命中 医学影像 ：MRI(title,title_cn)

AI总结 MRSeqStudio是一款集序列设计与模拟于一体的网页工具，结合物理模拟器KomaMRI和自研序列设计界面，提供无需本地安装的即服务功能，支持教育与研究。

Comments Supplementary videos can be accessed at: https://github.com/pvillacorta/MRSeqStudio/tree/master/docs/videos

Journal ref Journal of Medical Systems, Volume 50, article number 65 (2026)

ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora

ASTAR：从大规模临床自由文本语料库自动生成标准化放射学报告模板

Xinfeng Zhang, Mingxuan Liu, Yifei Chen, Juncheng Zhu, Kasidit Anmahapong, Yiming Huang, Yuan Zhang, Hongjia Yang, Yi Liao, Gang Ning, Haibo Qu, Qiyuan Tian

机构 * Tsinghua University（清华大学） ； Sichuan University（四川大学） ； University of California San Diego（加利福尼亚大学圣迭戈分校） ； Southeast University（东南大学） 纠错

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

AI总结 该研究针对放射学报告模板构建的人工瓶颈，提出基于LLM的ASTAR框架，从大规模临床自由文本语料库自动生成标准化模板，实验显示其性能优于专家构建的模板，大幅缩短模板开发时间。

Comments Accepted by MICCAI