AI-Based human audio processing for COVID-19: A comprehensive overview

Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19

(2021) Jinpeng Li et al.   PATTERN RECOGNITION

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

(2021) Xiaocong Chen et al.   PATTERN RECOGNITION

Joint Segmentation and Detection of COVID-19 via a Sequential Region Generation Network

(2021) Jipeng Wu et al.   PATTERN RECOGNITION

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

(2021) Kelei He et al.   PATTERN RECOGNITION

COVID-19 cough classification using machine learning and global smartphone recordings

(2021) Madhurananda Pahar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The voice of COVID-19: Acoustic correlates of infection in sustained vowels

(2021) Katrin D. Bartl-Pokorny et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Detection of COVID-19 from speech signal using bio-inspired based cepstral features

(2021) Tusar Kanti Dash et al.   PATTERN RECOGNITION

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

(2021) Lara Orlandic et al.   Scientific Data

COVID-index: A texture-based approach to classifying lung lesions based on CT images

(2021) Vitória de Carvalho Brito et al.   PATTERN RECOGNITION

Detecting pulmonary diseases using deep features in X-ray images

(2021) Pablo Vieira et al.   PATTERN RECOGNITION

Periphery-aware COVID-19 diagnosis with contrastive representation enhancement

(2021) Junlin Hou et al.   PATTERN RECOGNITION

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies

(2021) Weronika Hryniewska et al.   PATTERN RECOGNITION

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

(2021) Chen Zhao et al.   PATTERN RECOGNITION

Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays

(2021) Valerio Guarrasi et al.   PATTERN RECOGNITION

COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network

(2021) Yuqi Fan et al.   PATTERN RECOGNITION

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images

(2021) Nan Mu et al.   PATTERN RECOGNITION

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

(2020) Zheng Wang et al.   PATTERN RECOGNITION

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

(2020) Mohammad Shorfuzzaman et al.   PATTERN RECOGNITION

Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images

(2020) Adel Oulefki et al.   PATTERN RECOGNITION

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

(2016) Florian Eyben et al.   IEEE Transactions on Affective Computing

Objective Study of Sensor Relevance for Automatic Cough Detection

(2013) Thomas Drugman et al.   IEEE Journal of Biomedical and Health Informatics