Title
LIMITR: Leveraging Local Information for Medical Image-Text Representation Gefen Dawidowicz Elad Hirsch A. Tal 31 15 0 21 Mar 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction Patrick Hemmer Monika Westphal Max Schemmer S. Vetter Michael Vossing G. Satzger 52 42 0 16 Mar 2023
Cross-Modal Causal Intervention for Medical Report Generation Weixing Chen Yang Liu Ce Wang Jiarui Zhu Shen Zhao Guanbin Li Cheng-Lin Liu Liang Lin 34 6 0 16 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 21 1 0 15 Mar 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 27 11 0 13 Mar 2023
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification Alessandro Wollek Robert Graf Saša Čečatka N. Fink Theresa Willem B. Sabel Tobias Lasser 18 27 0 03 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 44 121 0 27 Feb 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models Denis Jered McInerney Geoffrey S. Young Jan-Willem van de Meent Byron C. Wallace 12 18 0 23 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 43 8 0 18 Feb 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FedML FaML 41 8 0 17 Feb 2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts Zhihong Chen Shizhe Diao Benyou Wang Guanbin Li Xiang Wan MedIm 27 29 0 17 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 85 0 16 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 37 5 0 13 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 32 27 0 10 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 33 2 0 06 Feb 2023
Advancing Radiograph Representation Learning with Masked Record Modeling Hong-Yu Zhou Chenyu Lian Lian-cheng Wang Yizhou Yu MedIm 38 55 0 30 Jan 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing Shruthi Bannur Stephanie L. Hyland Qianchu Liu Fernando Pérez-García Maximilian Ilse ... Maria T. A. Wetscherek M. Lungren A. Nori Javier Alvarez-Valle Ozan Oktay 36 113 0 11 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad A. Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 41 162 0 09 Jan 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records E. Steinberg Jason Alan Fries Yizhe Xu N. Shah OOD AI4TS 38 13 0 09 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis Hong-Yu Zhou Chi-Ken Lu Chaoqi Chen Sibei Yang Yizhou Yu 44 52 0 02 Jan 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022
Diffusion Probabilistic Models beat GANs on Medical Images Gustav Muller-Franzes J. Niehues Firas Khader Soroosh Tayebi Arasteh Christoph Haarburger ... Tian Wang T. Han S. Nebelung Jakob Nikolas Kather Daniel Truhn DiffM MedIm 27 91 0 14 Dec 2022
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders Jongseong Jang Daeun Kyung Seunghyeon Kim Honglak Lee Kyunghoon Bae Edward Choi LM&MA MedIm 32 10 0 14 Dec 2022
TIER: Text-Image Entropy Regularization for CLIP-style models Anil Palepu Andrew L. Beam MedIm 26 6 0 13 Dec 2022
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 55 10 0 01 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Multi-Label Chest X-Ray Classification via Deep Learning A. Pillai OOD 19 18 0 27 Nov 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 38 12 0 27 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels Soroosh Tayebi Arasteh P. Isfort Marwin Saehn Gustav Mueller-Franzes Firas Khader Jakob Nikolas Kather Christiane Kuhl S. Nebelung Daniel Truhn FedML 35 15 0 24 Nov 2022
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation Otabek Nazarov Mohammad Yaqub Karthik Nandakumar MedIm 24 3 0 24 Nov 2022
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 42 1 0 23 Nov 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 30 3 0 23 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 64 161 0 23 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 37 98 0 23 Nov 2022
Multimorbidity Content-Based Medical Image Retrieval Using Proxies Yu Xing Benjamin J. Meyer Mehrtash Harandi Tom Drummond Z. Ge 27 0 0 22 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 49 358 0 14 Nov 2022
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images Philip Muller Georgios Kaissis Daniel Rueckert MedIm 24 7 0 14 Nov 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies Ryan Wang Li-Ching Chen L. Moukheiber Mira Moukheiber Dana Moukheiber ... Hari M. Trivedi R. Steinberg Po-Chih Kuo J. Gichoya Leo Anthony Celi 16 1 0 13 Nov 2022
DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis Xian Wu Shuxin Yang Zhaopeng Qiu Shen Ge Yangtian Yan Xingwang Wu Yefeng Zheng S. Kevin Zhou Li Xiao MedIm 15 20 0 12 Nov 2022
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning Pranav Kulkarni Adway U. Kanhere P. Yi V. Parekh FedML 13 2 0 11 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 10 14 0 08 Nov 2022
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 19 3 0 03 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 6 0 0 31 Oct 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 19 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 37 59 0 23 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text Zifeng Wang Zhenbang Wu Dinesh Agarwal Jimeng Sun CLIP VLM MedIm 49 401 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 30 27 0 16 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 33 12 0 13 Oct 2022