Title
Probabilistically Robust Watermarking of Neural Networks Mikhail Aleksandrovich Pautov Nikita Bogdanov Stanislav Pyatkin Oleg Y. Rogov Ivan Oseledets AAML 69 5 0 16 Jan 2024
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy P. E. Chavarrias-Solano A. Bulpitt Venkataraman Subramanian Sharib Ali 68 0 0 30 Nov 2023
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT Pallab Dutta S. Mitra 71 0 0 17 Jan 2023
Full-scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions Pallab Dutta S. Mitra MedIm 25 3 0 27 Oct 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency Stanislav Shimovolos Andrey Shushko Mikhail Belyaev B. Shirokikh OOD 62 1 0 28 Mar 2022
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction Matthias Keicher Hendrik Burwinkel David Bani-Harouni Magdalini Paschali Tobias Czempiel E. Burian Marcus R. Makowski R. Braren Nassir Navab T. Wendler 90 7 0 29 Jul 2021
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation Talgat Saparov Anvar Kurmukov B. Shirokikh Mikhail Belyaev OOD MedIm 18 3 0 18 Jul 2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs M. Martell Mitchell Chen K. Linton-Reid J. Posma S. Copley E. Aboagye 38 3 0 11 May 2021
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays Michail Mamalakis Andrew J Swift Bart Vorselaars Surajit Ray S. Weeks Weiping Ding R. Clayton L. S. Mackenzie Abhirup Banerjee OOD 68 74 0 08 Apr 2021
Detection and severity classification of COVID-19 in CT images using deep learning Yazan Qiblawey Anas Tahir M. Chowdhury Amith Khandakar S. Kiranyaz Tawsifur Rahman Nabil Ibtehaz S. Mahmud Somaya Al-Madeed F. Musharavati 57 111 0 15 Feb 2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 92 775 0 14 Aug 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 170 187 0 16 Jul 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi 191 578 0 10 Mar 2020