Maya Pavlova

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 14

Top Topics

Dermoscopy Images

Top Venues

NAACL-HLT (Industry Papers)

BMC Medical Imaging

DART/FAIR@MICCAI

Publications

Joanna Bitton, Maya Pavlova, Ivan Evtimov
Adversarial Text Normalization. NAACL-HLT (Industry Papers) (2022)
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
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)
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images. BMC Medical Imaging 22 (1) (2022)
Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR (2022)
Joanna Bitton, Maya Pavlova, Ivan Evtimov
Adversarial Text Normalization. CoRR (2022)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR (2021)
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR (2021)
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR (2021)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE (2021)
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
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. DART/FAIR@MICCAI (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
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. CoRR (2021)
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices. CoRR (2020)
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images. CoRR (2020)