医学 AI

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation

Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, J. Alison Noble

机构 * University of Oxford（牛津大学） 纠错

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

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning

Runmin Jiang, Zhaoxin Fan, Junhao Wu, Lenghan Zhu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Towson University（托森大学） ； University of Alabama at Birmingham（阿拉巴马大学伯明翰分校） ； University of Maryland（马里兰大学） 纠错

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

A study of why we need to reassess full reference image quality assessment with medical images

Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb

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

Journal ref Journal of Imaging Informatics in Medicine, 2025

Evaluating unsupervised contrastive learning framework for MRI sequences classification

Yuli Wang, Kritika Iyer, Sep Farhand, Yoshihisa Shinagawa

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

Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images

Rabeya Tus Sadia, Jie Zhang, Jin Chen

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

Comments version_3

Evaluación del Cambio en la Musculatura y Adiposidad y su Relación con la Recurrencia del Carcinoma de Cabeza y Cuello mediante PET/CT y MRI

Virginia del Campo, Iker Malaina

专题命中 医学影像 ：MRI(title,abstract)；CT(title,abstract)；分类 q-bio

Comments 9 pages, in Spanish language, 1 figure

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation

Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux

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

COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images

Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman

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

Comments This work has been accepted to be presented to The 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024), July 17-19, 2024 - Valletta, Malta

Journal ref In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2155. Springer, Cham

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports

Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang

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

MedCLIP-SAM: Bridging Text and Image Towards Universal 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)；pathology(abstract)；diagnosis(abstract)

Comments 10 pages, 2 figures

What Does DALL-E 2 Know About Radiology?

Lisa C. Adams, Felix Busch, Daniel Truhn, Marcus R. Makowski, Hugo JWL. Aerts, Keno K. Bressem

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

Comments 4 Figures

Journal ref J Med Internet Res 2023;25:e43110

Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?

Mohamad M. A. Ashames, Ahmet Demir, Omer N. Gerek, Mehmet Fidan, M. Bilginer Gulmezoglu, Semih Ergin, Mehmet Koc, Atalay Barkana, Cuneyt Calisir

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

Modeling T1 Resting-State MRI Variants Using Convolutional Neural Networks in Diagnosis of OCD

Tarun Eswar

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

Comments 9 pages, 13 figures

Multimorbidity Content-Based Medical Image Retrieval Using Proxies

Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

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

Multi-Contrast Super-Resolution MRI Through a Progressive Network

Qing Lyu, Hongming Shan, Ge Wang

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

Comments 10 figures, 5 tables, 11 pages

Journal ref IEEE Transactions on Medical Imaging, early access, 2020

Electromagnetic Navigation for Femoral Osteotomy Using High-Accuracy X-ray-to-CT Registration

基于高精度X光到CT配准的股骨截骨电磁导航

Roman Flepp, Arend Nieuwland, Bastian Sigrist, Philipp Fürnstahl, Lilian Calvet, Thomas Dreher

机构 * Department of Pediatric Orthopedics and Traumatology, University Children’s Hospital Zürich（苏黎世大学儿童医院小儿骨科与创伤外科部门） ； Research in Orthopedic Computer Science, University Hospital Balgrist, University of Zurich（骨科计算机科学研究所，巴尔格里斯大学医院，苏黎世大学） ； Department of Orthopedic Surgery, University Hospital Balgrist, University of Zurich（骨科外科部门，巴尔格里斯大学医院，苏黎世大学） 纠错

专题命中 医学影像 ：CT(title,title_cn)；分类 cs.CV；radiology(comments)

AI总结 提出一种基于电磁跟踪的股骨截骨导航系统，通过一次术中C臂标定和两幅X光图像配准实现实时无荧光导航，在合成股骨实验中总角度误差显著优于徒手操作，并与患者特异性器械精度等效。

Comments Will be published in the International Journal of Computer Assisted Radiology and Surgery

Generation of annotated multimodal ground truth datasets for abdominal medical image registration

Dominik F. Bauer, Tom Russ, Barbara I. Waldkirch, Christian Tönnes, William P. Segars, Lothar R. Schad, Frank G. Zöllner, Alena-Kathrin Golla

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

Comments 12 pages, 5 figures. This work has been published in the International Journal of Computer Assisted Radiology and Surgery volume

Journal ref Int J CARS 16, 1277-1285 (2021)

Multimodal Brain Tumour Classification Using Feature Fusion

使用特征融合的多模态脑肿瘤分类

Wajih ul Islam, Muhammad Yaqoob, Javed Ali Khan, Volker Steuber

机构 * School of Physics, Engineering and Computer Science（物理、工程与计算机科学学院） ； University of Hertfordshire（赫特福德郡大学） 纠错

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

AI总结 提出双分支多模态网络，融合MRI图像与91个放射组学特征，通过门控融合实现脑肿瘤分类，准确率达96.13%。

RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography

RadAgent：一种用于胸部CT逐步解读的工具型AI智能体

Mélanie Roschewitz, Kenneth Styppa, Yitian Tao, Jiwoong Sohn, Jean-Benoit Delbrouck, Benjamin Gundersen, Nicolas Deperrois, Christian Bluethgen, Julia E. Vogt, Bjoern Menze, Farhad Nooralahzadeh, Michael Krauthammer, Michael Moor

机构 * Department of Biosystems Science and Engineering, ETH Zurich（生物系统科学与工程系，苏黎世联邦理工学院） ； ETH AI Center, Zurich（ETH人工智能中心，苏黎世） ； Department of Computer Science, ETH Zurich（计算机科学系，苏黎世联邦理工学院） ； Faculty of Computer Science and Mathematics, Heidelberg University（计算机科学与数学学院，海德堡大学） ； Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University（斯坦福大学人工智能在医学和影像中的中心） ； Department of Radiology, Stanford University（放射科，斯坦福大学） ； Department of Quantitative Biomedicine, University of Zurich（定量生物医学系，苏黎世大学） ； Institute of Computer Science, Zurich University of Applied Sciences（应用科学大学计算机科学研究所） 纠错

专题命中 医学影像 ：CT(title_cn,summary_cn)；radiology(abstract)

AI总结 提出RadAgent，一种通过逐步、可解释过程生成CT报告的工具型AI智能体，在临床准确性、鲁棒性和忠实度上优于3D VLM方法。

Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis

半路3D：融合2.5D和3D模型用于稳健的新冠CT诊断

Tuan-Anh Yang, Bao V. Q. Bui, Chanh-Quang Vo-Van, Truong-Son Hy

机构 * VNUHCM University of Science, Vietnam National University, Vietnam（越南国家大学科学大学） ； Ho Chi Minh University of Technology, Vietnam National University, Vietnam（胡志明技术大学，越南国家大学） ； The University of Alabama at Birmingham, United States（美国伯明翰大学） 纠错

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

AI总结 本文提出融合2.5D和3D表示的深度学习框架，通过多视图CT切片和体积信息提升新冠CT诊断的鲁棒性，实验显示其在二分类和多分类任务中均优于单一模型。

Plug-and-Play blind super-resolution of real MRI images for improved multiple sclerosis diagnosis

即插即用的盲超分辨率处理真实MRI图像以提高多发性硬化症诊断

Matteo Cannas, Alice Mariottini, Luca Massacesi, Federica Porta, Simone Rebegoldi, Andrea Sebastiani

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

AI总结 本文提出了一种即插即用的盲超分辨率方法，用于提升1.5 T MRI图像质量，以改善多发性硬化症的诊断。

ContourDiff: Unpaired Medical Image Translation with Structural Consistency

ContourDiff: 无配对医学图像翻译与结构一致性

Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski

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

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

AI总结 ContourDiff通过空间一致的引导扩散框架，实现了无配对医学图像翻译，保持解剖结构一致性，优于其他方法。

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2025:031

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

ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports

ModernBERT在日语放射学报告中的胸部CT发现分类中比传统BERT更高效

Yosuke Yamagishi, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe

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

AI总结 ModernBERT在日语放射学报告中的胸部CT发现分类中表现出更高的效率和性能，但在领域转移情况下表现不如传统BERT。

Comments 31 pages

Orochi: Versatile Biomedical Image Processor

Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang

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

Comments accepted by 39th Conference on Neural Information Processing Systems (NeurIPS 2025) as spotlight paper

Rapid MRI-Based Synthetic CT Simulations for Precise tFUS Targeting

Hengyu Gao, Shaodong Ding, Ziyang Liu, Jiefu Zhang, Bolun Li, Zhiwu An, Li Wang, Jing Jing, Tao Liu, Yubo Fan, Zhongtao Hu

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

3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation

Thien Nhan Vo, Bac Nam Ho

机构 * Vo Thien Nhan Institute of Engineering, Ho Chi Minh City University of Technology (HUTECH), Vietnam（越南胡志明市技术大学（HUTECH）工程学院） ； Ho Bac Nam Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh City (VNU-HCM), Vietnam（越南胡志明市技术大学（HCMUT）计算机科学与工程学院，越南胡志明市国家大学（VNU-HCM）） 纠错

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

A CT-guided Control Framework of a Robotic Flexible Endoscope for the Diagnosis of the Maxillary Sinusitis

Puchen Zhu, Huayu Zhang, Xin Ma, Xiaoyin Zheng, Xuchen Wang, Kwok Wai Samuel Au

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

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images

Muhammad Usman Akbar, Wuhao Wang, Anders Eklund

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

Comments 14 Pages, 6 Figures

Nature Inspired Evolutionary Swarm Optimizers for Biomedical Image and Signal Processing -- A Systematic Review

Subhrangshu Adhikary

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

Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation

Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern Menze, Daniel Rueckert, Jan Stefan Kirschke

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

Comments 35 pages, 7 figures, Code and a model weights available https://doi.org/10.5281/zenodo.8221159 and https://doi.org/10.5281/zenodo.8198697

Journal ref Eur Radiol Exp 7, 70 (2023)