Title
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 159 68 0 14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 119 520 0 13 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 205 65 0 13 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 152 101 0 11 Jan 2021
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders K. B. Ahmed Lawrence Hall Dmitry Goldgof Gregory M. Goldgof Rahul Paul 44 3 0 08 Jan 2021
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays Yirui Wang K. Zheng Chi-Tung Chang Xiaoyun Zhou Zhilin Zheng Lingyun Huang Jing Xiao Le Lu Chien-Hung Liao S. Miao 53 19 0 30 Dec 2020
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19 Maryam Dialameh A. Hamzeh Hossein Rahmani A. Radmard Safoura Dialameh 55 2 0 28 Dec 2020
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) Hoang Son Le Rini Akmeliawati G. Carneiro 26 3 0 27 Dec 2020
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 51 13 0 23 Dec 2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection Hamzeh Asgharnezhad Afshar Shamsi Jokandan R. Alizadehsani Abbas Khosravi S. Nahavandi Z. Sani D. Srinivasan UQCV 75 72 0 22 Dec 2020
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 103 11 0 21 Dec 2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 67 5 0 19 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images M. J. Horry Subrata Chakraborty B. Pradhan M. Paul D. Gomes Anwaar-ul Haq 54 11 0 10 Dec 2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation Xinyu Zhang Yirui Wang Chi-Tung Cheng Le Lu Adam P. Harrison Jing Xiao Chien-Hung Liao S. Miao MedIm 46 5 0 07 Dec 2020
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 99 121 0 06 Dec 2020
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte J. Hetzel S. Gatidis Tobias Hepp Benedikt Dietz Stefan Bauer Patrick Schwab MedIm 96 70 0 29 Nov 2020
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach Julián D. Arias-Londoño J. Gómez-García Laureano Moro-Velazquez Juan Ignacio Godino-Llorente 96 81 0 29 Nov 2020
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images Tawsifur Rahman Amith Khandakar Yazan Qiblawey Anas Tahir S. Kiranyaz ... M. Islam S. Al-Maadeed S. Zughaier Muhammad Salman Khan M. Chowdhury 89 838 0 25 Nov 2020
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization T. Han S. Nebelung F. Pedersoli Markus Zimmermann M. Schulze-Hagen ... Christoph Haarburger Fabian Kiessling Christiane Kuhl Volkmar Schulz Daniel Truhn MedIm 25 36 0 25 Nov 2020
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays Yan Han Chongyan Chen Liyan Tang Mingquan Lin Ajay Jaiswal Song Wang Ahmed H. Tewfik George Shih Ying Ding Yifan Peng LM&MA 108 10 0 25 Nov 2020
Extracting and Learning Fine-Grained Labels from Chest Radiographs Tanveer Syeda-Mahmood Ph. D Ken C. L. Wong Ph. D Joy T. Wu ... M. P. H A. Jadhav Ph. D Orest Boyko M. D. Ph. D 35 7 0 18 Nov 2020
Inspecting state of the art performance and NLP metrics in image-based medical report generation Pablo Pino Denis Parra Pablo Messina Cecilia Besa S. Uribe MedIm LM&MA 69 8 0 18 Nov 2020
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax Benedikt Graf Arkadiusz Sitek A. Katouzian Yen-Fu Lu A. Krishnan Justin Rafael K. Small Yiting Xie 16 2 0 14 Nov 2020
A partition-based similarity for classification distributions Hayden S. Helm Ronak D. Mehta Brandon Duderstadt Weiwei Yang Christoper M. White Ali Geisa Joshua T. Vogelstein Carey E. Priebe 34 6 0 12 Nov 2020
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays Pranav Rajpurkar Anirudh Joshi Anuj Pareek Jeremy Irvin A. Ng M. Lungren 45 3 0 12 Nov 2020
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images Jingxiong Li Yaqi Wang Shuai Wang Jun Wang Jun Liu Qun Jin Lingling Sun 19 1 0 11 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 96 24 0 05 Nov 2020
Semantic coordinates analysis reveals language changes in the AI field Zining Zhu Yang Xu Frank Rudzicz 58 0 0 01 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 121 92 0 30 Oct 2020
Generating Radiology Reports via Memory-driven Transformer Zhihong Chen Yan Song Tsung-Hui Chang Xiang Wan MedIm 74 486 0 30 Oct 2020
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning A. Maurya 46 1 0 28 Oct 2020
Point of Care Image Analysis for COVID-19 Daniel Yaron Daphna Keidar Elisha Goldstein Y. Shachar Ayelet Blass ... L. Demi Meirav Galun Shai Bagon Yishai M. Elyada Yonina C. Eldar 38 12 0 28 Oct 2020
On the diminishing return of labeling clinical reports Jean-Baptiste Lamare Tobi Olatunji Linxing Yao 28 2 0 27 Oct 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 113 47 0 27 Oct 2020
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy Alex Mansbridge G. Barbour Davide Piras Michael Murray Christopher Frye Ilya Feige David Barber 58 1 0 23 Oct 2020
High resolution weakly supervised localization architectures for medical images Konpat Preechakul S. Sriswasdi B. Kijsirikul Ekapol Chuangsuwanich WSOL 16 3 0 22 Oct 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Zaid Nabulsi Andrew Sellergren Shahar Jamshy Charles Lau E. Santos ... Daniel Tse Neeral Beladia Yun-Hui Liu Po-Hsuan Cameron Chen S. Shetty 91 39 0 22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 178 176 0 20 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 125 64 0 20 Oct 2020
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation H. Zunair A. Ben Hamza MedIm 72 41 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 245 159 0 20 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray diagnostics Nabit A. Bajwa Kedar Bajwa A. Rana Muhammad Faique Shakeel K. Haqqi Suleiman A. Khan OOD 28 0 0 17 Oct 2020
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images S. K. Sonbhadra Sonali Agarwal P. Nagabhushan 47 2 0 16 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 105 86 0 11 Oct 2020
Contralaterally Enhanced Networks for Thoracic Disease Detection Gangming Zhao Chaowei Fang Guanbin Li Licheng Jiao Yizhou Yu MedIm ViT 34 15 0 09 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs Bradley Max Segal D. Rubin G. Rubin Adam Pantanowitz MedIm 87 37 0 07 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 84 22 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 76 30 0 06 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning Mike Wu Noah D. Goodman UQCV 96 19 0 05 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 49 67 0 03 Oct 2020