Title
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 63 3 0 03 Nov 2022
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation Margherita Rosnati Fabio De Sousa Ribeiro M. Monteiro Daniel Coelho De Castro Ben Glocker GAN MedIm 45 2 0 03 Nov 2022
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation Jun Wang A. Bhalerao Terry Yin Simon See Yulan He MedIm 80 18 0 02 Nov 2022
minoHealth.ai: A Clinical Evaluation Of Deep Learning Systems For the Diagnosis of Pleural Effusion and Cardiomegaly In Ghana, Vietnam and the United States of America D. Akogo B. Sarkodie I. Samori B. B. Jimah D. Anim Y. Mensah 8 0 0 31 Oct 2022
Improving Chest X-Ray Classification by RNN-based Patient Monitoring D. Biesner H. Schneider Benjamin Wulff U. Attenberger R. Sifa 21 2 0 28 Oct 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 113 8 0 26 Oct 2022
Does Medical Imaging learn different Convolution Filters? Paul Gavrikov J. Keuper VLM OOD 38 2 0 25 Oct 2022
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 48 2 0 24 Oct 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 82 62 0 23 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text Zifeng Wang Zhenbang Wu Dinesh Agarwal Jimeng Sun CLIP VLM MedIm 129 434 0 18 Oct 2022
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection Tommaso Di Noto Meritxell Bach Cuadra Chirine Atat E. Teiga M. Hegi A. Hottinger P. Hagmann J. Richiardi MedIm 65 0 0 18 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 85 28 0 16 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen Luyao Tang Feng Liu Gangming Zhao Yue Huang Yizhou Yu 101 32 0 14 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 77 14 0 13 Oct 2022
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs Gunhee Nam Taesoo Kim Sanghyup Lee Thijs Kooi 59 0 0 13 Oct 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning Fuying Wang Yuyin Zhou Shujun Wang V. Vardhanabhuti Lequan Yu 117 149 0 12 Oct 2022
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification Chak Fong Chong Yapeng Wang Benjamin Ng Wuman Luo Xu Yang MedIm 69 4 0 12 Oct 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification Jiashu Xu S. Stirenko 59 3 0 11 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 133 158 0 10 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 74 5 0 10 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre J. Chambon Christian Blüthgen C. Langlotz Akshay S. Chaudhari DiffM MedIm LM&MA 61 117 0 09 Oct 2022
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding C. Seibold Simon Reiß Saquib Sarfraz M. Fink Victoria L. Mayer Jan Sellner Moon S. Kim Klaus H. Maier-Hein Jens Kleesiek Rainer Stiefelhagen 106 19 0 07 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification Md. Iqbal Hossain Mohammad Zunaed Md. Kawsar Ahmed S. M. J. Hossain Anwarul Hasan Taufiq Hasan ViT 78 7 0 06 Oct 2022
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection Elvin Johnson Shreshta Mohan Alex Gaudio A. Smailagic Christos Faloutsos A. Campilho MedIm 39 2 0 05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 173 65 0 04 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 95 17 0 04 Oct 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective M. Dohopolski Kai Wang Biling Wang T. Bai D. Nguyen David Sher Steve B. Jiang Jing Wang OOD 70 6 0 02 Oct 2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 77 7 0 30 Sep 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 130 17 0 30 Sep 2022
Medical Image Captioning via Generative Pretrained Transformers Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 99 63 0 28 Sep 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 170 19 0 27 Sep 2022
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy Kai Packhauser Sebastian Gündel Florian Thamm Felix Denzinger Andreas Maier 56 4 0 23 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 102 12 0 20 Sep 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 82 4 0 11 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 85 79 0 10 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 133 41 0 07 Sep 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 65 6 0 07 Sep 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays T. Dyer Jordan Smith G. Dissez N. Tay Q. Malik T. N. Morgan P. Williams Liliana Garcia-Mondragon George Pearse S. Rasalingham OOD 53 2 0 31 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 90 5 0 26 Aug 2022
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs F. Behrendt Debayan Bhattacharya Julia Kruger R. Opfer Alexander Schlaefer ViT MedIm 39 6 0 17 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 77 66 0 13 Aug 2022
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology Sangjoon Park Eunha Lee Kyung Sook Shin Jeonghyeon Lee Jong Chul Ye 53 2 0 10 Aug 2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays Gaurang Karwande Amarachi Mbakawe Joy T. Wu Leo Anthony Celi Mehdi Moradi Ismini Lourentzou 76 16 0 08 Aug 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 113 16 0 06 Aug 2022
RadTex: Learning Efficient Radiograph Representations from Text Reports Keegan Quigley Miriam Cha Ruizhi Liao Geeticka Chauhan Steven Horng Seth Berkowitz Polina Golland MedIm 52 3 0 05 Aug 2022
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology Pranav Agnihotri Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 28 2 0 29 Jul 2022
Deep learning for understanding multilabel imbalanced Chest X-ray datasets H. Liz Javier Huertas-Tato Manuel Sánchez-Montanés Javier Del Ser David Camacho SSL 76 26 0 28 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 137 171 0 28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 97 18 0 26 Jul 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 146 5 0 25 Jul 2022