医学 AI

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)

Machine learning based biomedical image processing for echocardiographic images

Ayesha Heena, Nagashettappa Biradar, Najmuddin M. Maroof, Surbhi Bhatia, Rashmi Agarwal, Kanta Prasad

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

Comments 10 figures 4 tables

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat

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

A Novel Implementation of Machine Learning for the Efficient, Explainable Diagnosis of COVID-19 from Chest CT

Justin Liu

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

Comments 19 pages

Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy

Sven Olberg, Jaehee Chun, Byong Su Choi, Inkyung Park, Hyun Kim, Taeho Kim, Jin Sung Kim, Olga Green, Justin C. Park

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

3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image

Haibo Qi, Yuhan Wang, Xinyu Liu

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

MRI-only brain radiotherapy: assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

Samaneh Kazemifar, Sarah McGuire, Robert Timmerman, Zabi Wardak, Dan Nguyen, Yang Park, Steve Jiang, Amir Owrangi

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

Journal ref Radiotherapy and Oncology, Volume 136, July 2019, Pages 56-63

Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study

Tahsin Mostafiz, Khalid Ashraf

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

Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI

Christian Mata, Alain Lalande, Paul Walker, Arnau Oliver, Joan Martí

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

A novel TOF-PET MRI detector for diagnosis and follow up of the prostate cancer

F. Garibaldi, S. Beging, R. Canese, G. Carpinelli, N. Clinthorne, S. Colilli, L. Cosentino P. Finocchiaro, F. Giuliani, M. Gricia, M. Lucentini, S. Majewski, E. Monno, P. Musico, F. Santavenere, J. Tödter, H. Wegener, K. Ziemons

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

Computerized Processing and Analysis of CT Images for Developing a New Criterion in COPD Diagnosis

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Shahram Akhlaghpoor

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

Comments http://jims.mui.ac.ir/index.php/jims/article/view/1276

Journal ref Journal of Isfahan Medical School (I.U.M.S),2012; 29(174)

Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis

A. M. Mohan Rao

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

Comments 8 pages, 4 figures

An anthropomorphic multimodality (CT/MRI) phantom prototype for end-to-end tests in radiation therapy

Raya R. Gallas, Nora Hünemohr, Armin Runz, Nina I. Niebuhr, Oliver Jäkel, Steffen Greilich

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

Comments 18 pages, 6 figures

Journal ref Zeitschrift fuer medizinische Physik, 2015, 25, 391-399

A Pilot Study on Coupling CT and MRI through Use of Semiconductor Nanoparticles

Matthew Getzin, Lars Gjesteby, Yen-Jun Chuang, Scott McCallum, Wenxiang Cong, Chao Wang, Zhengwei Pan, Guohao Dai, Ge Wang

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

Comments 24 total pages, 9 pages of text, 10 figures with captions (6 pages), supplemental material including analysis code and tutorial (9 pages)

Comparison of Fluid Attenuated Inversion Recovery Sequence with Spin Echo T2-Weighted MRI for Characterization of Brain Pathology

Indra Dev Sahu, Sheshkant Aryal, Shanta Lal Shrestha, Ram Kumar Ghimire

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

Comments 9 pages, 6 figures

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models

Fan Fan, Georgia Martinez, Thomas Desilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk

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

Comments 26 pages, 9 figures, 4 tables. Abstract was accepted by European Society of Digital and Integrative Pathology (ESDIP), Germany, 2022

COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images

COGENT：面向体积医学图像的反事实高斯解释

Dorian Rząsa, Bartosz Zabdyr, Krzysztof Piekarz, Jakub Grzywaczewski, Bartlomiej Sobieski, Przemyslaw Biecek, Żaneta Świderska-Chadaj, Olga Śliwicka, Przemysław Spurek, Joanna Świebocka-Więk

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

AI总结 COGENT是基于MedGS和Sybil模型的框架，通过高斯体积表示的反事实优化，为肺部CT扫描提供具有临床意义的稀疏可解释性，优于现有方法。