Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images

Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia

(2020) Feng Pan et al.   RADIOLOGY

Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays

(2020) Nikos Tsiknakis et al.   Experimental and Therapeutic Medicine

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

(2020) Mohamed Loey et al.   Symmetry-Basel

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

(2020) Yujin Oh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

(2020) Aayush Jaiswal et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

(2020) Mohammad Shorfuzzaman et al.   PATTERN RECOGNITION

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

(2020) Parnian Afshar et al.   PATTERN RECOGNITION LETTERS

Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

(2020) Mizuho Nishio et al.   Scientific Reports

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE