Title
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 83 57 0 21 Jul 2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 63 3 0 20 Jul 2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 73 24 0 15 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 68 9 0 15 Jul 2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images Nasir Hayat Krzysztof J. Geras Farah E. Shamout MedIm 80 44 0 14 Jul 2022
Explaining Chest X-ray Pathologies in Natural Language Maxime Kayser Cornelius Emde Oana-Maria Camburu Guy Parsons B. Papież Thomas Lukasiewicz MedIm 66 28 0 09 Jul 2022
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning Nicholas Konz Han Gu Haoyu Dong Maciej A. Mazurowski AI4CE 50 12 0 06 Jul 2022
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis Hongyan Xu Dadong Wang Arcot Sowmya 85 1 0 04 Jul 2022
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians Matthew S. Macpherson K. Muthuswamy A. Amlani C. Hutchinson Vicky Goh Giovanni Montana 29 0 0 04 Jul 2022
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation Sixing Yan William K. Cheung Keith W H Chiu Terence M. Tong Charles K. Cheung Simon See MedIm 87 17 0 04 Jul 2022
Identifying the Context Shift between Test Benchmarks and Production Data Matthew Groh OOD 70 8 0 03 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 139 64 0 30 Jun 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 72 0 0 29 Jun 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification Dwarikanath Mahapatra OOD 64 14 0 27 Jun 2022
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays K. Yu Shantanu Ghosh Zhexiong Liu C. Deible Kayhan Batmanghelich 69 22 0 25 Jun 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 144 140 0 24 Jun 2022
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging Nihal Raju Michael Woodburn S. Kachel Jack O’Shaughnessy Laurence Sorace Natalie Yang Ruth P. Lim LM&MA 26 1 0 23 Jun 2022
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis M. Pennisi Federica Proietto Salanitri Giovanni Bellitto Bruno Casella Marco Aldinucci S. Palazzo C. Spampinato OOD 52 10 0 20 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 40 0 0 17 Jun 2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts Patrick Hemmer Sebastian Schellhammer Michael Vossing Johannes Jakubik G. Satzger 72 39 0 16 Jun 2022
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data Tawsifur Rahman M. Chowdhury Amith Khandakar Z. Mahbub Md. Sakib Hossain ... Khandaker F. Islam S. Kashem Muhammad Salman Khan S. Zughaier Maqsud Hossain 116 19 0 15 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 51 5 0 14 Jun 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review Harold Brayan Arteaga-Arteaga Melissa delaPava Alejandro Mora-Rubio Mario Alejandro Bravo-Ortíz Jesús Alejandro Alzate-Grisales ... Simon Orozco-Arias M. Hassaballah South Valley University O. Cardona-Morales Valencia OOD 41 1 0 11 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 125 17 0 10 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 123 13 0 09 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 73 10 0 07 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 92 23 0 06 Jun 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel Benoit Dufumier C. Barbano Robin Louiset Edouard Duchesnay Pietro Gori SSL 71 8 0 03 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 173 43 0 02 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 98 16 0 01 Jun 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements Szymon Płotka Adam Klasa Aneta Lisowska Joanna Seliga-Siwecka M. Lipa Tomasz Trzciñski Arkadiusz Sitek 51 35 0 27 May 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 253 349 0 25 May 2022
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context Adrián Inés Andrés Díaz-Pinto C. Domínguez Jónathan Heras Eloy J. Mata Vico Pascual 55 1 0 19 May 2022
A Topological Approach for Semi-Supervised Learning Adrián Inés C. Domínguez Jónathan Heras Gadea Mata Julio Rubio 18 0 0 19 May 2022
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training C. Seibold Simon Reiß M. Sarfraz Rainer Stiefelhagen Jens Kleesiek 53 32 0 14 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 94 12 0 13 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 91 58 0 10 May 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs Junya Sato Yuki Suzuki T. Wataya Daiki Nishigaki Kosuke Kita Kazuki Yamagata Noriyuki Tomiyama Shoji Kido 56 14 0 09 May 2022
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification Declan McIntosh T. Marques A. Albu 37 6 0 08 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data Joceline Ziegler Bjarne Pfitzner H. Schulz A. Saalbach B. Arnrich FedML 59 17 0 06 May 2022
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs E. Schonfeld A. Veeravagu MedIm 46 1 0 05 May 2022
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures Edward Vendrow E. Schonfeld ViT MedIm 23 3 0 05 May 2022
UnrealNAS: Can We Search Neural Architectures with Unreal Data? Zhen Dong Kaichen Zhou Ge Li Qiang Zhou Mingfei Guo Guohao Li Kurt Keutzer Shanghang Zhang 59 0 0 04 May 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes Ali Sunyaev OOD FedML 71 7 0 01 May 2022
Cross-modal Memory Networks for Radiology Report Generation Zhihong Chen Yaling Shen Yan Song Xiang Wan MedIm 115 262 0 28 Apr 2022
User Trust on an Explainable AI-based Medical Diagnosis Support System Yao Rong N. Castner Efe Bozkir Enkelejda Kasneci 56 8 0 26 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 99 72 0 21 Apr 2022
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing Benedikt Boecking Naoto Usuyama Shruthi Bannur Daniel Coelho De Castro Anton Schwaighofer ... Tristan Naumann A. Nori Javier Alvarez-Valle Hoifung Poon Ozan Oktay 87 246 0 21 Apr 2022
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays Neha Srivathsa Razi Mahmood Tanveer Syeda-Mahmood 38 0 0 19 Apr 2022
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets A. Bhimireddy J. L. Burns S. Purkayastha J. Gichoya LM&MA MedIm 26 2 0 16 Apr 2022