医学 AI

Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis

Zahid Ullah, Minki Hong, Tahir Mahmood, Jihie Kim

机构 * Department of Computer Science and Artificial Intelligence（计算机科学与人工智能系） ； Division of Electronics and Electrical Engineering（电子与电气工程系） ； Dongguk University（东国大学） 纠错

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

FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views

Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian Vollmer, Andreas Dengel

机构 * German Research Center for Artificial Intelligence（德国人工智能研究中心） ； Intelligentx GmbH 纠错

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

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering

Yuren Mao, Wenyi Xu, Yuyang Qin, Yunjun Gao

机构 * School of Software Technology, Zhejiang University（浙江大学软件学院） 纠错

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

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images

Jintao Ren, Mathis Rasmussen, Jasper Nijkamp, Jesper Grau Eriksen, Stine Korreman

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

Journal ref XX-th international conference on the use of computers in radiation therapy (ICCR) - 2024

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models

Hao Chen, Wei Zhao, Yingli Li, Tianyang Zhong, Yisong Wang, Youlan Shang, Lei Guo, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

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

CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery

Zilin Chen, Shengnan Lu

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

MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis

Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun Chen, Deyao Zhu, Ahmed Alsinan, Mohamed Elhoseiny

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

Soft Masked Mamba Diffusion Model for CT to MRI Conversion

Zhenbin Wang, Lei Zhang, Lituan Wang, Zhenwei Zhang

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

Automatically Generating Narrative-Style Radiology Reports from Volumetric CT Images; a Proof of Concept

Marijn Borghouts

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

Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine

Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen

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

Comments This version of the article has been accepted for publication, after peer review but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10278-024-01094-x

Journal ref Journal of Imaging Informatics in Medicine, 1-10 (2024)

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

Jiawei Zhang, Yuzhen Jin, Jilan Xu, Xiaowei Xu, Yanchun Zhang

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

Comments 10 pages, 5 figures, 6 tables, published in the Health Information Science and Systems journal

Journal ref Health Inf Sci Syst 11, 13 (2023)

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li

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

Comments 5 figures

Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps

Y. On, K. Vimalesvaran, C. Galazis, S. Zaman, J. Howard, N. Linton, N. Peters, G. Cole, A. A. Bharath, M. Varela

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

Comments 10 pages

Dynamic Linear Transformer for 3D Biomedical Image Segmentation

Zheyuan Zhang, Ulas Bagci

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

Comments 8 Pages

Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation

Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li

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

Comments Accepted by MICCAI2021

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis

Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu

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

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

A Survey on Biomedical Image Captioning

Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos

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

Comments SiVL 2019

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond

Naimul Mefraz Khan, Nabila Abraham, Ling Guan

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

Comments Accepted at IEEE MIPR 2019. arXiv admin note: text overlap with arXiv:1810.07842

Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT

Aliasghar Mortazi, Jeremy Burt, Ulas Bagci

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

Comments The paper is accepted to STACOM 2017

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaera, Jana Lipkova, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

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

Comments Under Review

Deep learning trends for focal brain pathology segmentation in MRI

Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

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

Comments Published in Machine Learning for Health Informatics

A Combined Method Of Fractal And GLCM Features For MRI And CT Scan Images Classification

Redouan Korchiyne, Sidi Mohamed Farssi, Abderrahmane Sbihi, Rajaa Touahni, Mustapha Tahiri Alaoui

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

Comments 13 pages, 6 figures, Signal & Image Processing : An International Journal(SIPIJ)Vol.5, No.4, August 2014

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report

生成放射治疗用合成计算机断层扫描：SynthRAD2025挑战报告

Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Florian Kamp, Erik van der Bijl, Arthur Jr. Galapon, Christopher Kurz, Bowen Xin, Zhengxiang Sun, Hollie Min, Gregg Belous, Jason Dowling, Yan Xia, Siyuan Mei, Fuxin Fan, Arthur Longuefosse, Javier Sequeiro Gonzalez, Miguel Diaz Benito, Alvaro Garcia Martin, Fabien Baldacci, Valentin Boussot, Cédric Hémon, Jean-Claude Nunes, Jean-Louis Dillenseger, Zhiyuan Zhang, Jinghua Cai, Han Bing, Tan Zuopeng, Ricardo Brioso, Daniele Loiacono, Guillaume Landry, Adrian Thummerer, Matteo Maspero

机构 * Radiation Physics, Department of Hematology, Oncology ； Radiation Physics, Skåne University Hospital, Lund, Sweden ； Medical Radiation Physics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden ； Radiotherapy Department, University Medical Center Utrecht, Utrecht, The Netherlands ； Computational Imaging Group for MR Diagnostics \& Therapy, University Medical Center Utrecht, Utrecht, The Netherlands ； Division of Medical Physics in Radiation Oncology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany ； Heidelberg Institute for Radiation Oncology (HIRO) ； National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany ； Department of Radiation Oncology ； Cyberknife Center, University Hospital of Cologne, Cologne, Germany ； Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands ； Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands ； Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany ； Bavarian Cancer Research Center (BZKF), Munich, Germany ； Australian eHealth Research Center, CSIRO, Brisbane, Australia ； School of Computer Science, University of Sydney, Sydney, Australia ； Department of Orthodontics ； Pattern Recognition Lab, FAU Erlangen-Nuremberg, Germany ； RIKEN Center for Integrative Medical Sciences, Tokyo, Japan ； Erasmus Mundus Joint Master's Degree IPCVai, University of Bordeaux, France ； Computer Science, Huazhong University of Science ； Huazhong University of Science ； Canon Medical Systems (China) CO., LTD., Beijing, China ； Department of Radiation Oncology, Inselspital, Bern University Hospital ； University of Bern, Bern, Switzerland 纠错

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

AI总结 SynthRAD2025挑战赛评估了合成CT生成方法在头颈、胸腔和腹部2362名患者中的性能，通过图像相似性、分割和剂量学指标验证了深度学习在生成CT中的有效性，揭示了MRI到CT转换的持续挑战。

Comments 59 pages total: 26 pages main article + supplementary material; 8 figures in the main manuscript and 3 supplementary figures. Currently under review at the journal Medical Image Analysis (MIA)

A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data

Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko

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

Comments This article has been accepted for publication in IEEE Journal of Biomedical and Health Informatics

Journal ref JBHI, 2022

Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning

A. H. Rashid, A. Gupta, J. Gupta, M. Tanveer

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

Journal ref IEEE Journal of Biomedical and Health Informatics, 2022

Multimodality Biomedical Image Registration using Free Point Transformer Networks

Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt

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

Comments 10 pages, 4 figures. Accepted for publication at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop on Advances in Simplifying Medical UltraSound (ASMUS) 2020

Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation and Clinical Translation

放射学中的视觉基础模型：数据、方法、评估和临床转化的范围综述

Alejandro Vergara-Richart, Xavier Rafael-Palou, Almudena Fuster-Matanzo, Ignacio Iborra Roncales, Ángel Alberich-Bayarri, Ana Jiménez-Pastor

机构 * Universitat Politècnica de València（瓦伦西亚理工大学） 纠错

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

AI总结 对2017年1月至2026年3月关于放射成像数据训练基础模型的研究综述，涵盖数据、架构、评估等方面。Transformer架构和自监督预训练为主，评估集中在分割和分类。虽有可迁移性，但临床转化因多种问题受限。

Comments 33 pages, 8 tables, 2 figures

MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation

MNet++: 用于各向异性医学图像分割的扩展2D/3D网络

Kirsten Odendaal, Rade Bajic

机构 * School of Computing, Georgia Institute of Technology（佐治亚理工学院计算学院） 纠错

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

AI总结 本文复现并扩展了混合2D/3D卷积网络MNet，引入自适应融合门控和VMamba状态空间模块，在保持各向异性鲁棒性的同时提升分割性能。

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI

L-TGVN：利用纵向先验进行个性化快速MRI

Arda Atalık, Sumit Chopra, Daniel K. Sodickson

机构 * NYU Center for Data Science（纽约大学数据科学中心） ； Center for Advanced Imaging Innovation and Research (CAI²R)（先进成像创新与研究中心） ； Courant Institute of Mathematical Sciences（数学科学学院） ； Function Health 纠错

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

AI总结 提出L-TGVN，一种利用纵向先验作为侧信息从高度欠采样测量中重建当前扫描的变分网络，无需显式配准并适应协议差异，在定量指标和结构保持上优于基线方法。

Comments Accepted to MICCAI 2026

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

在CT身体成分分割中解耦采样与训练预算

Iason Skylitsis, Dimitrios Karkalousos, Ivana Išgum

机构 * Amsterdam University Medical Center（阿姆斯特丹大学医学中心） ； University of Amsterdam（阿姆斯特丹大学） ； Informatics Institute, Faculty of Science（信息学院，科学学院） ； Department of Radiology（放射科） ； Mayo Clinic Rochester（罗切斯特梅奥诊所） 纠错

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

AI总结 本文提出了一种基于少样本学习的episodic采样方法，用于解决医学图像分割中的类别不平衡问题，通过解耦采样与训练预算，提高了小数据集下的分割性能。