Title
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study Anvar Kurmukov V. Chernina Regina Gareeva Maria Dugova Ekaterina Petrash ... A. Shevtsov Alexey Zakharov Talgat Saparov V. Gombolevskiy Mikhail Belyaev AI4CE 19 0 0 12 Jun 2024
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Unified Medical Image Pre-training in Language-Guided Common Semantic Space Xiaoxuan He Yifan Yang Xinyang Jiang Xufang Luo Haoji Hu Siyun Zhao Dongsheng Li Yuqing Yang Lili Qiu 43 1 0 24 Nov 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification Iván de Andrés Tamé Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 26 2 0 25 Jan 2023
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images S. Suba N. Parekh MedIm 27 0 0 28 Dec 2022
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model Syed Muhammad Anwar Abhijeet Parida Sara Atito Muhammad Awais G. Nino Josef Kitler M. Linguraru ViT SSL OOD 29 6 0 23 Nov 2022
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 34 34 0 18 Nov 2022
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis Wojciech Pra.zuch Aleksandra Suwalska M. Socha J. Tobiasz P. Foszner ... Barbara Gizycka E. Szurowska POLCOVID Study Group M. Marczyk Joanna Polańska 24 1 0 11 Oct 2022
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis Xiao Qi D. Foran J. Nosher I. Hacihaliloglu ViT MedIm 30 3 0 03 Aug 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 11 1 0 11 Jun 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics Maya Pavlova Tia Tuinstra Hossein Aboutalebi Andy Zhao Hayden Gunraj Alexander Wong 23 12 0 08 Jun 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 May 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 26 57 0 11 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 42 19 0 07 Apr 2022
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection Arshi Parvaiz Muhammad Anwaar Khalid Rukhsana Zafar Huma Ameer M. Ali M. Fraz MedIm 18 59 0 29 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer Xuan Xu Joseph Bae Chaoyu Chen Prateek Prasanna MedIm 36 15 0 02 Mar 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Asifullah Khan Dr. Saddam Hussain Khan Mahrukh Saif Asiya Batool A. Sohail Muhammad Waleed Khan 31 48 0 13 Feb 2022
Rethinking Transfer Learning for Medical Image Classification Le Peng Hengyue Liang Gaoxiang Luo Taihui Li Ju Sun VLM LM&MA 16 5 0 09 Jun 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 48 97 0 15 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 316 0 15 Mar 2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer Gwanghyun Kim Sangjoon Park Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 38 4 0 12 Mar 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 38 33 0 12 Mar 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 16 3 0 08 Jan 2021
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 Velázquez Juan Ignacio Godino-Llorente 32 78 0 29 Nov 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray Saman Motamed Patrik Rogalla Farzad Khalvati OOD MedIm 8 62 0 06 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 17 30 0 30 Sep 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