医学 AI - arXivDaily 专题

2107.10230 2021-08-16 cs.CR 67%

Multi-institution encrypted medical imaging AI validation without data sharing

Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren

专题命中医学数据与评测：pathology(abstract)；diagnosis(abstract)

2105.03020 2021-05-10 eess.IV cs.CV cs.LG 67%

Structured dataset documentation: a datasheet for CheXpert

Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

2104.11797 2021-04-27 cs.CV cs.LG eess.IV 67%

Ensembles of GANs for synthetic training data generation

Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

专题命中医学数据与评测：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments ICLR 2021 workshop on Synthetic Data Generation: Quality, Privacy, Bias

2102.09462 2021-02-19 eess.IV cs.CV cs.LG 67%

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data

Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig

专题命中医学数据与评测：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to Information Processing in Medical Imaging (IPMI) 2021. Code available at https://github.com/AxelElaldi/equivariant-spherical-deconvolution . First two authors contributed equally. 13 pages with 6 figures

2012.11840 2020-12-23 eess.IV cs.CV cs.LG 67%

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection

Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 7 pages, 6 figures, 1 Table, 36 refrences

2011.07482 2020-11-17 cs.CV cs.LG eess.IV 67%

Towards Trainable Saliency Maps in Medical Imaging

Mehak Aggarwal, Nishanth Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew Li, Ken Chang, Jay Patel, Katherine Hoebel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract

2010.01947 2020-10-06 eess.IV cs.CV cs.LG 67%

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset

David Azcona, Kevin McGuinness, Alan F. Smeaton

专题命中医学数据与评测：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

2009.00668 2020-09-03 cs.CV cs.LG eess.IV 67%

Fed-Sim: Federated Simulation for Medical Imaging

Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler

专题命中医学数据与评测：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments MICCAI 2020 (Early Accept)

2006.09158 2020-06-17 eess.IV cs.CV cs.LG 67%

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted in IJCNN-2020, 7 pages, 5 figures

2006.00727 2020-06-02 eess.IV cs.CV cs.LG 67%

Using Generative Models for Pediatric wbMRI

Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, Nipaporn Tewattanarat, Andrea Doria, Anna Goldenberg

专题命中医学数据与评测：radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

2004.02060 2020-05-22 eess.IV cs.CV cs.LG 67%

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 6 pages

2003.02920 2020-04-07 eess.IV cs.CV cs.LG stat.ML 67%

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted by cvpr2020, camera-ready version will be uploaded later

2002.04189 2020-02-24 cs.LG cs.CV eess.IV stat.ML 67%

Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics

Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 5 pages. 4 tables. Accepted to present in Machine Learning in Computational Biology (MLCB) 2019 conference

1802.09843 2020-02-11 eess.IV cs.CV eess.SP 67%

Graph Laplacian for Image Anomaly Detection

Francesco Verdoja, Marco Grangetto

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV、eess.IV、eess.SP

Comments Published in Machine Vision and Applications (Springer)

Journal ref Machine Vision and Applications, vol. 31, no. 1, Feb. 2020

1910.06745 2019-11-15 eess.IV cs.CV cs.LG 67%

Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation

Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D Wang

专题命中医学数据与评测：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 9 pages, 5 figures

1901.07042 2019-11-15 cs.CV cs.LG eess.IV 67%

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, Steven Horng

专题命中医学数据与评测：radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

1909.00240 2019-09-04 eess.IV cs.CV cs.LG 67%

Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium

Muhammad Usman Ghani, W. Clem Karl

专题命中医学数据与评测：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted for publication in proceedings of IEEE ICCV Workshop on Learning for Computational Imaging (ICCVW-LCI)

1905.03209 2019-05-09 cs.CV cs.AI cs.LG eess.IV 67%

Endoscopy artifact detection (EAD 2019) challenge dataset

Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 12 pages, EAD2019 dataset description

1806.05892 2019-04-25 cs.CV cs.LG eess.SP stat.ML 67%

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection

Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.SP

Comments 4 pages, 6 figures, IEEE International Engineering in Medicine and Biology Conference (EMBC)

1812.10366 2019-04-09 cs.CV cs.LG eess.IV stat.ML 67%

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard

专题命中医学数据与评测：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Camera-ready version for CVPR 2019. The Fluorescence Microscopy Denoising (FMD) dataset is available at https://drive.google.com/drive/folders/1aygMzSDdoq63IqSk-ly8cMq0_owup8UM

1812.09905 2018-12-27 cs.CY cs.AI cs.DB 67%

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records

Xuli Liu, Jihao Jin, Qi Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin

专题命中医学数据与评测：diagnosis(abstract)；biomedical(abstract)

2502.21049 2025-06-23 cs.CV cs.AI eess.IV 66%

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Jingru Fu, Yuqi Zheng, Neel Dey, Daniel Ferreira, Rodrigo Moreno

机构 * Division of Biomedical Imaging, KTH Royal Institute of Technology, Stockholm, Sweden（生物医学成像系，皇家理工学院，斯德哥尔摩，瑞典）； Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden（临床老年医学系，阿尔茨海默病研究中心，卡罗林斯卡研究所，斯德哥尔摩，瑞典）； Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden（基因技术系，皇家理工学院，斯德哥尔摩，瑞典）； Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, MA, USA（计算机科学与人工智能实验室，麻省理工学院，马萨诸塞州，美国）； MedTechLabs, BioClinicum, Karolinska University Hospital, Solna, Sweden（MedTechLabs，BioClinicum，卡罗林斯卡大学医院，索纳，瑞典）

专题命中医学数据与评测：MRI(abstract)；分类 cs.CV、eess.IV；medical image(comments)

Comments 20 pages, 9 figures, 6 tables, diffeomorphic registration, parallel transport, brain aging, medical image generation, Alzheimer's disease

2303.13033 2025-06-02 eess.IV cs.CV 66%

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

机构 * Institute of High Performance Computing (IHPC)（高性能计算研究所）； Agency for Science, Technology and Research (A*STAR)（科技研究局）； College of Computer Science and Technology（计算机科学与技术学院）； Nanjing University of Aeronautics and Astronautics（南京航空航天大学）； National Key Laboratory of Fundamental Science on Synthetic Vision（合成视觉基础科学国家重点实验室）； Sichuan University（四川大学）

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、eess.IV；medical image(journal_ref)

Journal ref Medical Image Computing and Computer Assisted Intervention(MICCAI 2023)

2410.19765 2024-10-29 cs.LG cs.CR cs.CY eess.IV 66%

A New Perspective to Boost Performance Fairness for Medical Federated Learning

Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng

专题命中医学数据与评测：medical image(abstract,journal_ref)；分类 cs.LG、eess.IV

Comments 11 pages, 2 Figures

Journal ref International Conference on Medical Image Computing and Computer-Assisted Intervention 2024

2409.16340 2024-09-26 eess.IV cs.AI cs.CV 66%

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew Schabath, Ghulam Rasool

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、eess.IV；radiology(comments)

Comments 21 pages, 5 figures, 4 tables, Review paper, preprint to Radiology AI. arXiv admin note: text overlap with arXiv:2406.12815

2408.08058 2024-08-16 cs.CV cs.AI cs.LG 66%

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging

Stefano Woerner, Christian F. Baumgartner

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV、cs.LG；medical AI(comments)

Comments Accepted as an oral presentation in MICCAI 2024 2nd International Workshop on Foundation Models for General Medical AI

2309.14550 2024-07-16 eess.IV cs.CV 66%

MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences

Chiao-Yi Wang, Faranguisse Kakhi Sadrieh, Yi-Ting Shen, Shih-En Chen, Sarah Kim, Victoria Chen, Achyut Raghavendra, Dongyi Wang, Osamah Saeedi, Yang Tao

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、eess.IV；biomedical(comments)

Comments Biomedical Optics Express

Journal ref Biomed. Opt. Express 15, 3457-3479 (2024)

2110.11012 2023-09-12 eess.IV cs.CV 66%

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks

Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、eess.IV；biomedical(comments)

Comments Accepted in IEEE International Symposium on Biomedical Imaging (ISBI) 2022

2107.03901 2022-03-04 eess.IV cs.AI cs.LG 66%

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease

Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir

专题命中医学数据与评测：diagnosis(abstract,comments)；分类 cs.LG、eess.IV

Comments Code used in this study can be found in: https://github.com/Linardos/federated-HCM-diagnosis

Journal ref Scientific Reports 2022

2106.13393 2021-06-28 cs.CV cs.AI cs.LG cs.MM 66%

Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation

Wanqing Xie, Lizhong Liang, Yao Lu, Chen Wang, Jihong Shen, Hui Luo, Xiaofeng Liu

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV、cs.LG；biomedical(comments)

Comments Published in IEEE Journal of Biomedical and Health Informatics

1. 医学数据与评测 2119 篇

Multi-institution encrypted medical imaging AI validation without data sharing

Structured dataset documentation: a datasheet for CheXpert

Ensembles of GANs for synthetic training data generation

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection

Towards Trainable Saliency Maps in Medical Imaging

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset

Fed-Sim: Federated Simulation for Medical Imaging

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Using Generative Models for Pediatric wbMRI

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics

Graph Laplacian for Image Anomaly Detection

Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium

Endoscopy artifact detection (EAD 2019) challenge dataset

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

A New Perspective to Boost Performance Fairness for Medical Federated Learning

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging

MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease

Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation