COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach

11 February 2021

Papers citing "COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach"

9 / 9 papers shown

Title
Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19 Yingying Fang Xiaodan Xing Shiyi Wang Simon Walsh Guang Yang 16 0 0 24 Sep 2023
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 Tareque Rahman Ornob G. Roy Enamul Hassan 32 12 0 17 Feb 2023
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem A. Akrim C. Gogu R. Vingerhoeds M. Salaün AI4CE 24 23 0 20 Jan 2023
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu B. Wen Alan Yuille Zongwei Zhou 14 23 0 05 Oct 2022
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 49 10 0 18 Sep 2021
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das Ryan Tran Japjot Singh Xiangyu Yue G. Tison Alberto L. Sangiovanni-Vincentelli C. Spanos OOD MedIm 57 51 0 14 Sep 2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection Moloud Abdar Soorena Salari Sina Qahremani Fellow Ieee Hak-Keung Lam Fakhri Karray Ieee Sadiq Hussain Fellow Senior Member Ieee Abbas Khosravi S. M. I. U. Rajendra Acharya V. Makarenkov Australia. S. Nahavandi OOD 18 77 0 18 May 2021
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis Rui Fan C. Bowd Nicole Brye Mark Christopher R. Weinreb D. Kriegman L. Zangwill 25 12 0 09 Dec 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 74 1,761 0 24 Mar 2020