医学 AI - arXivDaily 专题

2303.10533 2023-03-21 q-bio.QM cs.CV 83%

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation

Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang

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

2209.09696 2022-09-21 eess.IV q-bio.NC 83%

Synthesis of realistic fetal MRI with conditional Generative Adversarial Networks

Marina Fernandez Garcia, Rodrigo Gonzalez Laiz, Hui Ji, Kelly Payette, Andras Jakab

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

2109.07711 2022-09-20 eess.IV cs.CV cs.LG 83%

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim

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

Comments Accepted at IEEE Journal of Biomedical and Health Informatics (JBHI)

Journal ref IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 9, pp. 4497-4507, 2022

2109.08618 2022-03-11 eess.IV cs.CV cs.LG 83%

A review and experimental evaluation of deep learning methods for MRI reconstruction

Arghya Pal, Yogesh Rathi

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging 2022:2022:001. pp 1-58 Submitted 09/2021; Published 02/2022

Journal ref Journal of Machine Learning for Biomedical Imaging 2022

2005.02000 2022-01-06 cs.LG cs.CV eess.IV stat.ML 83%

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

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

Comments Accepted for the IEEE International Joint Conference on Neural Networks (IJCNN) 2020

Journal ref 2020 International Joint Conference on Neural Networks (IJCNN)

2004.04668 2021-01-26 eess.IV cs.CV cs.LG stat.ML 83%

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu

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

Comments Published in Medical Image Analysis journal: https://doi.org/10.1016/j.media.2020.101907

Journal ref Medical Image Analysis, Volume 68, 2021, 101907, ISSN 1361-8415. http://www.sciencedirect.com/science/article/pii/S1361841520302711

2011.09115 2020-11-19 q-bio.TO eess.IV 83%

3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI

Pradeep Lam, Alyssa H. Zhu, Iyad Ba Gari, Neda Jahanshad, Paul M. Thompson

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

2010.07437 2020-10-16 q-bio.QM cs.LG q-bio.PE 83%

Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations

Axel Wismüller, Larry Stockmaster

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

Comments 9 pages, 1 figure, 1 table

1904.00445 2020-03-17 q-bio.QM cs.LG stat.ML 83%

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara, Edward Walczak, Keenan Moore, Heather Kaluzniak, Joel Rosenberg, Paul Blake, Zachary Rengel, Makinna Oestreich, Joshua Dean, Michael Tradewell, Aneri Shah, Resha Tejpaul, Zachary Edgerton, Matthew Peterson, Shaneabbas Raza, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight

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

Comments 13 pages, 2 figures

2001.09521 2020-01-29 eess.IV cs.CV cs.LG 83%

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau

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

1907.01319 2019-07-03 cs.CV cs.LG eess.IV stat.ML 83%

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN

Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye

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

Comments accepted for MICCAI 2019

1901.00262 2019-01-03 math.OC 83%

NLTG Priors in Medical Image: Nonlocal TV-Gaussian (NLTG) prior for Bayesian inverse problems with applications to Limited CT Reconstruction

Didi Lv, Qingping Zhou, Jae Kyu Choi, Jinglai Li, Xiaoqun Zhang

专题命中医学影像：medical image(title)；CT(title)

1810.04637 2018-10-16 q-bio.QM cs.CV physics.med-ph 83%

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis

Md. Kamrul Hasan, Fakrul Islam Tushar

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

1802.01756 2018-02-07 cs.CV q-bio.QM stat.ML 83%

Highly accurate model for prediction of lung nodule malignancy with CT scans

Jason Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang

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

0806.1895 2009-12-01 cs.NI 83%

Évaluation d'une application de transmission d'images médicales avec un réseau sans fil

Jackson Francomme, Gilles Mercier, Sabri Chebira

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

Comments 12 pages

Journal ref 3ème Conférence internationale Sciences Électroniques, Technologies de l'Information et des Télécommunications, Sousse : Tunisie (2005)

2607.01001 2026-07-02 cs.CV cs.LG 新提交 83%

Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices

基础模型与放射组学在肺部计算机断层扫描中的比较：特征提取器、分类头和分割选择的基准测试

Nils Neukirch, Martin Maurer, Nils Strodthoff

机构 * Division AI4Health, Carl von Ossietzky Universität Oldenburg（奥尔登堡卡尔·冯·奥西茨基大学AI4Health部门）； University Institute for Diagnostic and Interventional Radiology, Klinikum Oldenburg AöR（奥尔登堡医院大学诊断与介入放射学研究所）

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

AI总结本研究通过基准测试五种特征提取器、七种分类头和三种分割策略，评估基础模型与放射组学在CT肺癌表型分析中的性能，发现最优设计取决于任务，推荐Curia结合肿瘤分割和CatBoost分类头作为安全默认方案。

Comments 17 pages, 8 figures, 2 tables, Code is available at https://github.com/AI4HealthUOL/lung-ct-benchmarking

2209.13371 2024-10-25 physics.med-ph q-bio.TO 83%

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging: added value and acquisition

Kurt G Schilling, Francesco Grussu, Andrada Ianus, Brian Hansen, Amy FD Howard, Rachel L C Barrett, Manisha Aggarwal, Stijn Michielse, Fatima Nasrallah, Warda Syeda, Nian Wang, Jelle Veraart, Alard Roebroeck, Andrew F Bagdasarian, Cornelius Eichner, Farshid Sepehrband, Jan Zimmermann, Lucas Soustelle, Christien Bowman, Benjamin C Tendler, Andreea Hertanu, Ben Jeurissen, Lucio Frydman, Yohan van de Looij, David Hike, Jeff F Dunn, Karla Miller, Bennett A Landman, Noam Shemesh, Adam Anderson, Emilie McKinnon, Shawna Farquharson, Flavio Dell' Acqua, Carlo Pierpaoli, Ivana Drobnjak, Alexander Leemans, Kevin D Harkins, Maxime Descoteaux, Duan Xu, Hao Huang, Mathieu D Santin, Samuel C. Grant, Andre Obenaus, Gene S Kim, Dan Wu, Denis Le Bihan, Stephen J Blackband, Luisa Ciobanu, Els Fieremans, Ruiliang Bai, Trygve Leergaard, Jiangyang Zhang, Tim B Dyrby, G Allan Johnson, Julien Cohen-Adad, Matthew D Budde, Ileana O Jelescu

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

Comments Part 2 of 3 in "Considerations and recommendations for preclinical diffusion MRI"

2210.16640 2022-11-01 eess.IV cs.CV eess.SP q-bio.QM 83%

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian

专题命中医学影像：CT(title)；medical image(abstract)；分类 cs.CV、q-bio、eess.IV；biomedical(comments)

Comments Published in IEEE Journal of Biomedical and Health Informatics

Journal ref IEEE.J.Biomed.Health.Inf. 25 (2021) 755-763

2203.09268 2022-10-12 eess.IV cs.CV cs.LG q-bio.NC 83%

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander

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

Comments Accepted In: Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022

2004.10221 2021-04-09 cs.CV cs.LG eess.IV q-bio.QM 83%

Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast

Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias

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

Comments 12 pages, 7 figures

Journal ref International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020, pp. 177-187

1808.10858 2020-07-28 eess.IV cs.CV 83%

Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach

Worawate Ausawalaithong, Sanparith Marukatat, Arjaree Thirach, Theerawit Wilaiprasitporn

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

Journal ref 2018 11th Biomedical Engineering International Conference (BMEiCON)

1903.09879 2019-04-11 cs.CV cs.AI cs.LG 83%

Automatic Pulmonary Lobe Segmentation Using Deep Learning

Hao Tang, Chupeng Zhang, Xiaohui Xie

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

Comments 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

2608.25810 2026-08-27 cs.CV 新提交 83%

Label-Free Foundational Model Selection for Medical Image Classification under Distribution Shift via Pseudo Label Discrepancy

分布偏移下基于伪标签差异的医学图像分类无基准模型选择

Juan Iñaki Larrea, Lucas Mansilla, Enzo Ferrante

机构 * Universidad de Buenos Aires（布宜诺斯艾利斯大学）； CONICET（阿根廷国家科学技术研究委员会）； Universidad Nacional del Litoral（国立 littoral 大学）； Research Institute for Signals, Systems and Computational Intelligence（信号、系统与计算智能研究所）

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

AI总结针对分布偏移下医学图像分类的无基准模型选择问题，提出基于SUDO框架的AURCC准则，在胸部X射线分类任务中实现了与真实排名高相关性的模型排名，小源标注数据下表现更优。

Comments Accepted at MIRASOL Workshop, MICCAI 2026. 10 pages, 3 figures

2608.25630 2026-08-27 cs.CV 新提交 83%

SeVeR: Selective Visual Exposure and Retrieval for 3D Medical Image Question Answering

SeVeR：面向3D医学图像问答的选择性视觉暴露与检索

Yaojun Hu, Danyang Tu, Yang Liu, Jiajin Zhang, Wei Fang, Zhiqiang Liu, Chunlai Dong, Yingda Xia, Haochao Ying, Jian Wu, Ling Zhang

机构 * DAMO Academy, Alibaba Group（阿里巴巴达摩院）； College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院）； Hupan Lab（湖畔实验室）； School of Public Health, Zhejiang University（浙江大学公共卫生学院）

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

AI总结针对3D医学图像问答中多序列视觉冗余问题，提出SeVeR框架，引入BreMRIs-VQA基准，通过压缩体积为原型并检索互补证据，实现性能提升且减少视觉标记使用。

2608.24121 2026-08-26 cs.CV 新提交 83%

Graph-Supervised Hierarchical Clinical Alignment for Radiology Report Generation with Large Language Models

面向结合大语言模型的放射学报告生成的图监督分层临床对齐

Yingshu Li, Yunyi Liu, Zhanyu Wang, Zailong Chen, Lingqiao Liu, Lei Wang, Luping Zhou

机构 * University of Sydney（悉尼大学）； ByteDance（字节跳动）； University of Wollongong（伍伦贡大学）； University of Adelaide（阿德莱德大学）

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

AI总结本文针对放射学报告生成中报告级监督与疾病级发现的粒度不匹配问题，提出图监督分层临床对齐方法，在3B模型上超越多个更大参数的现有系统，验证了优化监督结构的有效性。

2607.14320 2026-08-21 eess.IV 版本更新 83%

FORCE-Interior: Measurement-Consistent Adaptation of a Poisson-Flow Generative Prior for Interior CT

FORCE-Interior：用于内部断层扫描重建的泊松流生成先验

Kang Chen, Wenjun Xia, Jianxu Wang, Mahmud Wasif Nafee, Ge Wang

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

AI总结针对内部断层扫描中投影截断致逆问题不适定及现有方法泛化性不足等挑战，提出FORCE-Interior框架，结合全视野测量约束初始化与每步数据一致性，在不同截断ROI尺寸上提升重建质量并保持投影域一致性。

2608.18654 2026-08-20 cs.CV 新提交 83%

Clinically Structured Surrogate Rewards for Post-SFT Medical Image Captioning

SFT后医学图像字幕生成的临床结构化替代奖励

Hyun Jun Kim, Heeseung Shin, Changwon Lim

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

AI总结该研究针对SFT后医学图像字幕生成，提出临床结构化替代奖励框架，结合生物医学语义等，在ImageCLEFmedical Caption测试集及三个主干上，提升了整体、相关性与事实性指标。

Comments 8 pages, 2 figures, 3 tables

2603.05202 2026-08-20 cs.CV 版本更新 83%

Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation

语义类分布学习用于去偏半监督医学图像分割

Yingxue Su, Yiheng Zhong, Keying Zhu, Zimu Zhang, Zhuoru Zhang, Yifang Wang, Yuxin Zhang, Xinyuan Zheng, Jingxin Liu, Xiaofeng Liu

机构 * Xi'an Jiaotong-Liverpool University（西安交通大学利物浦大学）； University College London（伦敦大学学院）； Wuhan University（武汉大学）

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

AI总结本文提出语义类分布学习框架，通过学习结构化的类条件特征分布来缓解半监督医学图像分割中的类别不平衡问题，显著提升分割性能，尤其在少数类上表现优异。

2608.17635 2026-08-19 cs.CV 新提交 83%

MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation

MaLViL：用于医学图像分割的多轴低秩视觉长短期记忆网络

Afshin Bozorgpour, Sina Ghorbani Kolahi, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof

机构 * Faculty of Informatics and Data Science, University of Regensburg（雷根斯堡大学信息学与数据科学学院）； Independent Computer Science Researcher（独立计算机科学研究者）； University of British Columbia（不列颠哥伦比亚大学）； Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学梅维斯研究所）

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

AI总结针对现有视觉长短期记忆网络（ViL）用于医学图像分割时丢失精细细节、内存开销大的问题，提出MaLViL网络，结合Bi-LRViL、SaLViL、CDM、SGSM等模块，在多个医学图像基准上实现了最优或具竞争力的分割精度，内存降低最多83倍。

Comments Accepted at the MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), 2026

2608.13159 2026-08-14 cs.CV cs.GR 新提交 83%

Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling

基于多色建模的锥束CT中基于Splat的金属伪影减少方法

Kiseok Choi, Inchul Kim, Jaemin Cho, Hyeongjun Cho, Min H. Kim

机构 * KAIST（韩国科学技术院）

专题命中医学影像：CT(title,title_cn)；分类 cs.CV

AI总结提出一种集成多色X射线投影模型等的Gaussian Splatting框架，无需手动金属掩码，联合优化参数与光谱，发布相关数据集，在CBCT金属伪影减少上性能优于现有最优方法。

Journal ref Computer Graphics forum, Volume 45 (2026), Number 2

1. 医学影像 22719 篇