Title
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation H. Zunair A. Ben Hamza MedIm 43 39 0 20 Oct 2020
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 160 157 0 20 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 26 86 0 11 Oct 2020
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging G. Liang Connor Greenwell Yu Zhang Xiaoqin Wang Ramakanth Kavuluru Nathan Jacobs 42 21 0 06 Oct 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays Jianmo Ni Chun-Nan Hsu Amilcare Gentili Julian McAuley MedIm 29 30 0 06 Oct 2020
COVID-19 Classification of X-ray Images Using Deep Neural Networks Elisha Goldstein Daphna Keidar Daniel Yaron Y. Shachar Ayelet Blass ... N. Bogot A. Grubstein N. Shabshin Yishai M. Elyada Yonina C. Eldar 23 66 0 03 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 61 733 0 02 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays Angelica I Aviles-Rivero P. Sellars Carola-Bibiane Schönlieb Nicolas Papadakis DiffM MedIm SSL 24 30 0 30 Sep 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 16 27 0 07 Sep 2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports Yikuan Li Hanyin Wang Yuan Luo 19 63 0 03 Sep 2020
Ethical behavior in humans and machines -- Evaluating training data quality for beneficial machine learning Thilo Hagendorff 21 26 0 26 Aug 2020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 21 766 0 14 Aug 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19) Md. Milon Islam Fakhri Karray R. Alhajj Jia Zeng 27 216 0 09 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images Aakarsh Malhotra S. Mittal P. Majumdar S. Chhabra K. Thakral Mayank Vatsa Richa Singh S. Chaudhury Ashwin Pudrod A. Agrawal 27 60 0 03 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 625 0 02 Aug 2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies Leo K. Tam Xiaosong Wang E. Turkbey Kevin Lu Yuhong Wen Daguang Xu 31 13 0 31 Jul 2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision J. Wolleb Robin Sandkühler Philippe C. Cattin 305 21 0 28 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 228 0 18 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 18 104 0 15 Jul 2020
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 27 13 0 13 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists H. Gu Jingbin Huang Lauren Hung Xiang Ánthony' Chen 13 49 0 23 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 19 326 0 12 Jun 2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams Vasiliki Kougia John Pavlopoulos P. Papapetrou Max Gordon 27 0 0 11 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 19 37 0 08 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 31 163 0 25 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 35 222 0 24 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 30 220 0 15 May 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture Hao Sheng Xiao Chen Jingyi Su Ram Rajagopal Andrew Y. Ng 26 31 0 07 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 24 312 0 06 May 2020
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays P. R. Bassi R. Attux MedIm 22 144 0 30 Apr 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 27 200 0 27 Apr 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks Narinder Singh Punn Sonali Agarwal 15 191 0 23 Apr 2020
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning Shervin Minaee R. Kafieh Milan Sonka Shakib Yazdani G. Soufi 24 828 0 20 Apr 2020
COVID-19 Image Data Collection Joseph Paul Cohen Paul Morrison Lan Dao 35 1,008 0 25 Mar 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 24 49 0 26 Feb 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 22 167 0 20 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 25 284 0 14 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 17 68 0 12 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 20 24 0 07 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 46 127 0 06 Feb 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 10 61 0 16 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 31 126 0 15 Jan 2020
Artificial Intelligence for Social Good: A Survey Zheyuan Ryan Shi Claire Wang Fei Fang AI4TS 32 81 0 07 Jan 2020
Split Learning for collaborative deep learning in healthcare M. Poirot Praneeth Vepakomma Ken Chang Jayashree Kalpathy-Cramer Rajiv Gupta Ramesh Raskar FedML OOD 34 135 0 27 Dec 2019
Targeted transfer learning to improve performance in small medical physics datasets M. Romero Y. Interian T. Solberg Gilmer Valdes OOD 30 47 0 14 Dec 2019