医学 AI - arXivDaily 专题

1812.04103 2020-02-20 cs.CV cs.LG stat.AP stat.ML 88%

Non-local U-Net for Biomedical Image Segmentation

Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji

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

Comments In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2019

1909.11854 2019-09-27 eess.IV cs.LG stat.ML 88%

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel-Angel Gonzalez Ballester, Karim Lekadir

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

1909.04542 2019-09-11 eess.IV cs.CV 88%

Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan

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

Comments This paper has been accepted by MICCAI 2019

1901.03597 2019-06-07 cs.CR cs.CV cs.LG 88%

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici

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

Comments This paper is included in the Proceedings of the 28th USENIX Security Symposium (USENIX Security 2019)

1904.12181 2019-04-30 cs.CV eess.IV 88%

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu

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

Comments Accepted by AAAI2019 as oral presentation

1811.03433 2019-03-29 cs.CV cs.AI cs.LG stat.ML 88%

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

Qiao Zheng, Hervé Delingette, Nicholas Ayache

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

1903.00035 2019-03-04 cs.CV cs.AI cs.LG 88%

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen

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

Comments To appear in MIDL2019 and PMLR

2311.08236 2024-07-23 cs.CV 88%

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang

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

Comments IEEE International Symposium on Biomedical Imaging (ISBI 2024)

2107.03949 2021-07-09 cs.CV 88%

Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Patrick Godau, Lena Maier-Hein

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

Comments Medical Image Computing and Computer Assisted Interventions (MICCAI) 2021

2004.02731 2020-04-21 eess.IV cs.CV q-bio.QM 88%

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

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

Comments Added journal submission info

Journal ref IEEE Reviews in Biomedical Engineering (2020)

1809.09404 2019-02-05 cs.CV 88%

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro

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

Comments Submitted to Medical Image Analysis

1806.07131 2018-06-20 cs.CV 88%

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M W Wille, Marleen de Bruijne

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

Comments 10 pages. Submitted to LABELS2018 - MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis

1707.04912 2017-07-19 cs.CV 88%

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang

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

Comments 8 pages, 7 figures, accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2017

1608.04117 2016-09-26 cs.CV 88%

The Importance of Skip Connections in Biomedical Image Segmentation

Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal

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

Comments Accepted to 2nd Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016); Added references

2608.14763 2026-08-18 eess.IV cs.AI cs.CV cs.LG 新提交 88%

Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening

用于胎儿脑室体积测量与异常筛查的跨模态超声-MRI学习

Yuhao Huang, Yuanji Zhang, Yuhuan Lu, Dong Ni, P. Ellen Grant, Davood Karimi

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

AI总结本研究提出跨模态学习框架VIFBA，基于超声视频实现胎儿脑室体积预测、VM严重程度分类及非VM异常筛查，性能优于基线与现有模型，为产前脑筛查提供实用方案。

Comments 17 pages, 11 figures, 6 tables

2602.14315 2026-08-05 physics.med-ph cs.NA math.NA 版本更新 88%

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT

基于复波let的sinogram分割用于锥束CT中金属伪影的减少

Siiri Rautio, Alexander Meaney, Salla-Maaria Latva-Äijö, Harshit Agrawal, Mikael Brix, Dinidu Jayakody, Samuli Siltanen

专题命中医学影像：CT(title,title_cn)

AI总结本文提出基于复波let的投影域金属伪影减少方法，通过分析性金属分割提升锥束CT图像质量。

2607.14984 2026-07-17 cs.AI 新提交 88%

Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

用于减轻疾病分类器偏差和检测偏差的人口统计学条件合成医学图像

Mahmoud Ibrahim, Bart Elen, Chang Sun, Gokhan Ertaylan, Michel Dumontier

机构 * Institute of Data Science, Faculty of Science and Engineering, Maastricht University（马斯特里赫特大学科学与工程学院数据科学研究所）； Department of Advanced Computing Sciences, Faculty of Science and Engineering, Maastricht University（马斯特里赫特大学科学与工程学院高级计算科学系）； VITO（比利时弗拉芒技术研究所）

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

AI总结研究医学图像分类器亚组公平性审计的样本量问题，提出用人口统计学条件合成生成器减轻训练偏差、检测评估偏差。以COVID-19胸部CT分类为例，发现其在偏差减轻和检测上的作用，如预训练效果好、能再现亚组排名等。

2606.31521 2026-07-01 eess.IV cs.CV eess.SP 新提交 88%

Distortion-Corrected Diffusion MRI Using Rotated-View EPI and Joint Field-Map/Image Estimation with Gaussian Primitives

使用旋转视图EPI和高斯原型的联合场图/图像估计的畸变校正扩散MRI

Wenqi Huang, Zhitao Li, Nan Wang, Yimeng Lin, Mengze Gao, Yurui Qian, Sevgi Gokce Kafali, Xiaozhi Cao, Kawin Setsompop, Daniel Rueckert, Congyu Liao

机构 * Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, and the School of Computation, Information and Technology, TUM（慕尼黑工业大学(TUM)医疗与医学人工智能教席、TUM大学医院、计算信息与技术学院）； Neuroimaging Technology Research Center, Department of Radiology and Biomedical Imaging, University of California, San Francisco（加州大学旧金山分校放射与生物医学影像系神经影像技术研究中心）； Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences（中国科学院精密测量科学与技术创新研究院）； Department of Radiology, Stanford University（斯坦福大学放射学系）； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心(MCML)）； Department of Computing, Imperial College London（伦敦帝国理工学院计算系）

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

AI总结提出一种物理信息框架，直接从k空间联合估计B0场和无畸变图像，避免中间并行成像重建，通过高斯原型的连续参数化表示图像和场，支持旋转视图EPI，在高b值和高加速下显著改善畸变校正质量。

2606.30236 2026-06-30 cs.CL 88%

CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models

CaresAI at CT-DEB26: 使用领域特定Transformer嵌入和分类模型检测临床试验中的剂量错误

Leon Hamnett, Favour Igwezeke, Joseph Itopa Abubakar, Mary Adetutu Adewunmi

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

AI总结本研究利用基于生物医学语料训练的Transformer模型（如BioBERT）编码临床试验文本，结合结构化元数据，通过机器学习模型检测剂量错误，最高ROC-AUC达0.853。

Comments 18 pages, published in CL4Health 2026 proceedings (3rd Workshop on Patient-oriented language processing) @ LREC 2026 http://lrec-conf.org/proceedings/lrec2026/workshops/cl4health/2026.cl4health-1.0.pdf

Journal ref Proceedings of the Third Workshop on Patient-Oriented Language Processing, CL4Health 2026, 12 May 2026

1712.08651 2026-06-04 math.NA cs.NA physics.med-ph 88%

Novel Method for Background Phase Removal on MRI Proton Resonance Frequency Measurements

MRI质子共振频率测量中背景相位去除的新方法

Wolfgang Stefan, David Fuentes, Erol Yeniaras, Ken-Pin Hwang, John D. Hazle, R. Jason Stafford

专题命中医学影像：MRI(title,title_cn)

AI总结本文提出一种基于高阶边缘检测和稀疏图像表示的新方法，用于去除MRI质子共振频率测量中的背景相位，以恢复有用信息。

2604.16444 2026-04-21 physics.med-ph 88%

Comment on electromagnetic noise cancellation in low-field MRI systems (arXiv:2509.05955v1, 2406.17804v3, 2210.06730v2, and related works)

对低场MRI系统中电磁噪声消除的评论（arXiv:2509.05955v1, 2406.17804v3, 2210.06730v2及相关研究）

Joseba Alonso, José M. Algarín, Teresa Guallart-Naval

专题命中医学影像：MRI(title,title_cn)

AI总结本文评论了低场MRI中电磁干扰抑制的新方法，指出外部感应线圈后处理策略在实际条件下无法完全消除噪声，其残留信号污染高于最优硬件预处理效果。

Comments Comments on arXiv:2509.05955, arXiv:2406.17804, arXiv:2210.06730

2408.05692 2024-08-13 cs.CV cs.AI cs.LG eess.IV 88%

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci

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

Comments 8 pages

2406.05891 2024-06-11 eess.IV cs.CV cs.LG 88%

GCtx-UNet: Efficient Network for Medical Image Segmentation

Khaled Alrfou, Tian Zhao

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

Comments 13 pages, 7 figures, 7 tables

2309.01740 2023-09-07 eess.IV cs.CL cs.CV cs.LG 88%

An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports

Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula Mougiakakou

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

Comments Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023

2204.01737 2022-07-15 eess.IV cs.CV cs.LG 88%

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection

Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz

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

Comments Accepted for presentation at MICCAI 2022

2605.08238 2026-05-12 cs.CV cs.AI cs.ET cs.LG 88%

Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation

面向资源的进化神经架构搜索用于心脏MRI分割

Farhana Yasmin, Mahade Hasan, Haipeng Liu, Amjad Ali, Ghulam Muhammad, Yu Xue

机构 * School of Computer Science, Nanjing University of Information Science and Technology（南京信息工程大学计算机科学学院）； School of Software, Nanjing University of Information Science and Technology（南京信息工程大学软件学院）； Eastern University（东东大学）； Research Centre for Intelligent Healthcare, Coventry University（科文大学智能医疗研究中心）； National Medical Research Association（国家医学研究协会）； Faculty of Engineering and Technology, Muscat University（穆斯cat大学工程与技术学院）； College of Computer and Information Sciences, King Saud University（沙特国王大学计算机与信息学院）

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

AI总结本文提出CardiacNAS，一种结合UNet-like supernet和心脏感知搜索空间的进化神经架构搜索框架，通过优化Dice相似度系数和Hausdorff距离与模型大小和FLOPs的平衡，实现心脏MRI分割的高精度与高效能。

Journal ref F. Yasmin et.al., "Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation," 28th International Conference on Computer and Information Technology (ICCIT), 2025, pp. 2819-2824

2503.00945 2025-03-04 eess.IV cs.AI cs.CV 88%

Cross Modality Medical Image Synthesis for Improving Liver Segmentation

Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba, Zubair Shah, Shoaib Azmat

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

Comments Submitted to Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

2007.07230 2020-07-15 eess.IV cs.CV 88%

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

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

Comments Accepted to Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020

1711.00049 2018-06-19 cs.CV cs.LG 88%

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes

Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li

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

Comments Zhe Guo and Xiang Li contribute equally to this work

Journal ref 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 903-907

2608.12689 2026-08-14 cs.CV cs.AI 新提交 88%

Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance Imaging

Mr3D-VL：面向多参数3D磁共振成像的通用视觉语言基础模型

Zhi Qiao, Xintong Wu, Yichu He, Feng Shi

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

AI总结本文针对现有3D视觉语言模型无法满足多参数3D MRI跨模态协同推理需求的问题，提出Mr3D-VL模型，通过特定设计实现性能提升，在多项任务上优于同规模的领域及通用模型。

1. 医学影像 22596 篇

Non-local U-Net for Biomedical Image Segmentation

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

The Importance of Skip Connections in Biomedical Image Segmentation

Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT

Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

Distortion-Corrected Diffusion MRI Using Rotated-View EPI and Joint Field-Map/Image Estimation with Gaussian Primitives

CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models

Novel Method for Background Phase Removal on MRI Proton Resonance Frequency Measurements

Comment on electromagnetic noise cancellation in low-field MRI systems (arXiv:2509.05955v1, 2406.17804v3, 2210.06730v2, and related works)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

GCtx-UNet: Efficient Network for Medical Image Segmentation

An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection

Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation

Cross Modality Medical Image Synthesis for Improving Liver Segmentation

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes

Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance Imaging