Maya Pavlova
According to our database1,
Maya Pavlova
authored at least 11 papers
between 2020 and 2022.
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Bibliography
2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics.
CoRR, 2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data.
CoRR, 2022
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images.
BMC Medical Imaging, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022
2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis.
CoRR, 2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images.
CoRR, 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices.
CoRR, 2020