医学 AI - arXivDaily 专题

1809.07436 2018-11-09 cs.CV cs.AI cs.LG 81%

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo

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

Comments BIBM 2018 accepted

1810.10973 2018-10-26 physics.med-ph eess.IV eess.SP 81%

Active Decoupling of Transmit and Receive Coils for Full-Duplex MRI

Maryam Salim, Ali Caglar Ozen, Michael Bock, Ergin Atalar

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

1807.10225 2018-09-17 cs.CV cs.LG stat.ML 81%

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers, Christopher G Schwarz, Matthew L Senjem, Jeffrey L Gunter, Katherine Andriole, Mark Michalski

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

Comments Accepted for 2018 Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018

1803.00694 2018-09-05 physics.med-ph cs.CV eess.IV 81%

Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction

Hoyeon Lee, Jongha Lee, Hyeongseok Kim, Byungchul Cho, Seungryong Cho

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

1807.11089 2018-07-31 cs.SD cs.CL cs.CV cs.LG eess.AS 81%

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI

Pramit Saha, Praneeth Srungarapu, Sidney Fels

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

Comments To appear in the INTERSPEECH 2018 Proceedings

1807.10571 2018-07-30 cs.CV cs.LG stat.ML 81%

Sparse Range-constrained Learning and Its Application for Medical Image Grading

Jun Cheng

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

Comments Accepted for publication in IEEE Transactions on Medical Imaging

1807.03845 2018-07-12 cs.LG cs.CV stat.ML 81%

Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM

Sampurna Biswas, Hemant K. Aggarwal, Sunrita Poddar, Mathews Jacob

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

1807.02370 2018-07-09 eess.IV cs.CV 81%

Deep Back Projection for Sparse-View CT Reconstruction

Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman

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

Comments GlobalSIP 2018

1807.01779 2018-07-06 cs.CV cs.LG 81%

Synthetic contrast enhancement in cardiac CT with Deep Learning

Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta

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

Comments 8 pages,3 figures

1806.00806 2018-06-12 cs.CV cs.AI cs.LG stat.ML 81%

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography

Eunju Cha, Eung Yeop Kim, Jong Chul Ye

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

1803.01417 2018-06-12 cs.CV eess.IV 81%

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li

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

Comments 10 pages, 2 figures, 2 tables. MICCAI 2018

1801.02728 2018-05-30 cs.CV eess.IV 81%

Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks

Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li

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

Comments Accepted by ISBI'18

1805.01266 2018-05-04 eess.IV cs.CV 81%

Learning-Based Compressive MRI

Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilıcak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher

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

Comments 13 pages, 6 figures. IEEE TMI (Transactions of Medical Imaging)

1708.08333 2018-03-29 cs.CV cs.LG stat.ML 81%

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT

Yoseob Han, Jong Chul Ye

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

Comments This will appear in IEEE Transaction on Medical Imaging, a special issue of Machine Learning for Image Reconstruction

1707.09938 2018-03-29 stat.ML cs.AI cs.CV cs.LG 81%

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

Eunhee Kang, Jaejun Yoo, Jong Chul Ye

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

Comments This will appear in IEEE Transaction on Medical Imaging, a special issue of Machine Learning for Image Reconstruction

1802.02427 2018-03-02 eess.IV cs.CV 81%

MRI Tumor Segmentation with Densely Connected 3D CNN

Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismuller, Chenliang Xu

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

1802.08717 2018-02-27 cs.CV cs.LG stat.AP stat.ML 81%

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R. Bashir

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

Comments 27 pages, 4 figures

1801.01258 2018-01-08 cs.CV cs.AI cs.LG stat.ML 81%

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner

Yoseob Han, Jingu Kang, Jong Chul Ye

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

1706.00051 2017-06-02 cs.CV cs.LG stat.ML 81%

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus Alley, Neil Thakur, Song Han, William Dally, John M. Pauly, Lei Xing

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

1704.08134 2017-04-27 cs.CV cs.LG 81%

Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network

Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Nigel Allinson, Xujiong Ye

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

1406.6568 2014-06-26 cs.CV cs.LG physics.med-ph 81%

Support vector machine classification of dimensionally reduced structural MRI images for dementia

V. A. Miller, S. Erlien, J. Piersol

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

Comments technical note

1208.2128 2012-08-13 cs.CV cs.LG 81%

Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis

V. P. Gladis Pushpa Rathi, S. Palani

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

2607.02051 2026-07-03 cs.CV 新提交 80%

Embracing Intra-Class Heterogeneity for Semi-Supervised Medical Image Segmentation: From Diversity to Precision

拥抱类内异质性用于半监督医学图像分割：从多样性到精确性

Yuqi Liu, Yufei Chen, Wei Fu, Xiaodong Yue, Shuo Li

机构 * School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院）； Artificial Intelligence Institute, Shanghai University（上海大学人工智能研究院）； Department of Computer and Data Sciences, Case Western Reserve University（凯斯西储大学计算机与数据科学系）； Department of Biomedical Engineering, Case Western Reserve University（凯斯西储大学生物医学工程系）

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

AI总结提出多原型对比学习框架，通过生成与强度对齐的异质原型、优化原型空间和对齐知识，有效建模类内异质性，提升半监督医学图像分割的多样性和精确性。

Comments Accepted by Medical Image Analysis

2604.01038 2026-04-02 cs.CV 80%

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation

基于基础模型的迭代提示与伪标签方法用于部分标注的医学图像分割

Qiaochu Zhao, Wei Wei, David Horowitz, Richard Bakst, Yading Yuan

机构 * Department of Biomedical Engineering, Columbia University（哥伦比亚大学生物医学工程系）； Department of Radiation Oncology, Columbia University Irving Medical Center（哥伦比亚大学欧文医学中心放射肿瘤科）； Data Science Institute, Columbia University（哥伦比亚大学数据科学研究所）； Herbert Irving Comprehensive Cancer Center, Columbia University（哥伦比亚大学赫伯特·欧文综合癌症中心）； Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai（西奈山伊坎医学院放射肿瘤科）

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

AI总结本文提出IPnP框架，通过训练网络与冻结基础模型协作，迭代生成并优化未标注器官的伪标签，提升部分标注条件下医学图像分割性能。

Comments 5 pages, 5 figures. Accepted for presentation at IEEE International Symposium on Biomedical Imaging (ISBI) 2026

2603.22626 2026-03-25 cs.CV 80%

PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis

PIVM：基于扩散的先验集成变分建模用于解剖学精确的腹部CT合成

Dinglun He, Baoming Zhang, Xu Wang, Yao Hao, Deshan Yang, Ye Duan

机构 * Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA（密苏里大学电气工程与计算机科学系）； Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA（德克萨斯大学达拉斯分校计算机科学系）； Department of Radiation Oncology, Washington University in St. Louis, MO, USA（华盛顿大学圣路易斯分校放射肿瘤学系）； Department of Radiation Oncology, Duke University, Durham, NC, USA（达特茅斯大学放射肿瘤学系）； School of Computing, Clemson University, Clemson, SC, USA（克莱姆森大学计算机科学学院）

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

AI总结本文提出PIVM框架，通过整合器官特定强度先验，实现高精度腹部CT图像合成，保留HU范围和细密解剖纹理。

Comments Accepted at the IEEE International Symposium on Biomedical Imaging (ISBI) 2026 (Oral). Equal contribution by the first three authors

2603.18119 2026-03-20 eess.IV 80%

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis

双同意见一致性学习与基础模型在半监督胎儿心脏超声分割与诊断中的应用

Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran

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

AI总结本文提出FM-DACL框架，结合预训练超声基础模型与卷积网络，通过异质协同训练和指数移动平均教师，提升低标注胎儿心脏超声分析的可行性，实验显示Dice分数达59.66，NSD为42.82。

Comments Accepted to the ISBI 2026 Fetal HearT UltraSound Segmentation and Diagnosis (FETUS) Challenge

2512.17137 2026-03-13 cs.CV cs.AI 80%

SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction

SDUM：一种可扩展的深度展开模型用于通用MRI重建

Puyang Wang, Pengfei Guo, Keyi Chai, Jinyuan Zhou, Daguang Xu, Shanshan Jiang

机构 * Johns Hopkins University（约翰霍普金斯大学）； NVIDIA

专题命中医学影像：MRI(title,abstract)；分类 cs.CV

AI总结 SDUM是一种结合Restormer、CSME、SWDC和UC的通用MRI重建框架，通过级联扩展训练实现可扩展性，无需微调即可在多个挑战赛道上取得最佳性能。

Comments https://github.com/NVIDIA-Medtech/NV-Raw2insights-MRI

2603.00668 2026-03-03 cs.CV 80%

Direct low-field MRI super-resolution using undersampled k-space

利用 undersampled k-space 实现低场 MRI 的超分辨率

Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly

机构 * Department of Computer Science, University of Exeter（埃克塞特大学计算机科学系）； UCL Hawkes Institute, University College London（伦敦大学学院霍克斯研究所）

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

AI总结本文提出了一种基于k空间的低场MRI超分辨率与图像质量转移方法，通过双通道U-Net直接从欠采样k空间重建高质量图像。

Comments 4 pages, 4 figures, conference (The IEEE International Symposium on Biomedical Imaging (ISBI))

2408.09743 2026-03-02 cs.CV cs.AI cs.CL 80%

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation

R2GenCSR: 为基于大语言模型的放射学报告生成挖掘上下文和残差信息

Xiao Wang, Yuehang Li, Fuling Wang, Shiao Wang, Chuanfu Li, Bo Jiang

机构 * School of Computer Science and Technology, Anhui University（安徽大学计算机科学与技术学院）； First Affiliated Hospital of Anhui University of Chinese Medicine（安徽中医药大学第一附属医院）

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

AI总结 R2GenCSR通过引入Mamba和上下文检索提升基于LLM的放射学报告生成性能

Comments R2GenCSR is accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2026

2602.08797 2026-02-10 cs.CV cs.AI 80%

Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework

利用半监督教师-学生框架解决Brain Tumor Segmentation在3D MRI扫描中的数据标注稀缺问题

Jiaming Liu, Cheng Ding, Daoqiang Zhang

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（人工智能学院，南京航空航天大学）； Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education（脑机智能技术重点实验室，教育部）； Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics（深圳研究院，南京航空航天大学）

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

AI总结本文提出半监督教师-学生框架，通过置信度驱动课程学习和选择性遗忘，在有限标注下实现高效脑肿瘤分割，提升分割精度和鲁棒性。

Comments 10 pages, 7 figures. Submitted to IEEE Journal of Biomedical and Health Informatics (JBHI)

1. 医学影像 22694 篇

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Active Decoupling of Transmit and Receive Coils for Full-Duplex MRI

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI

Sparse Range-constrained Learning and Its Application for Medical Image Grading

Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM

Deep Back Projection for Sparse-View CT Reconstruction

Synthetic contrast enhancement in cardiac CT with Deep Learning

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks

Learning-Based Compressive MRI

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

MRI Tumor Segmentation with Densely Connected 3D CNN

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network

Support vector machine classification of dimensionally reduced structural MRI images for dementia

Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis

Embracing Intra-Class Heterogeneity for Semi-Supervised Medical Image Segmentation: From Diversity to Precision

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation

PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis

SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction

Direct low-field MRI super-resolution using undersampled k-space

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation

Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework