Steven Hawken

According to our database, Steven Hawken authored at least 14 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification.

Youssef Megahed, Salma I. Megahed, Robin Ducharme, Inok Lee, Adrian D. C. Chan, Mark C. Walker, Steven Hawken

CoRR, February, 2026

USF-MAE: Ultrasound self-supervised foundation model with masked autoencoding.

Youssef Megahed, Robin Ducharme, Aylin Erman, Mark C. Walker, Steven Hawken, Adrian D. C. Chan

Biomed. Signal Process. Control., 2026

2025

Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning.

Youssef Megahed, Aylin Erman, Robin Ducharme, Mark C. Walker, Steven Hawken, Adrian D. C. Chan

CoRR, December, 2025

Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning.

Youssef Megahed, Robin Ducharme, Inok Lee, Inbal Willner, Olivier X. Miguel, Kevin Dick, Adrian D. C. Chan, Mark C. Walker, Steven Hawken

CoRR, December, 2025

Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging.

Youssef Megahed, Inok Lee, Robin Ducharme, Kevin Dick, Adrian D. C. Chan, Steven Hawken, Mark C. Walker

CoRR, December, 2025

Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework.

Youssef Megahed, Saleh Abou-Alwan, Anthony Fuller, Dina El Demellawy, Steven Hawken, Adrian D. C. Chan

CoRR, November, 2025

Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly.

Youssef Megahed, Inok Lee, Robin Ducharme, Aylin Erman, Olivier X. Miguel, Kevin Dick, Adrian D. C. Chan, Steven Hawken, Mark C. Walker, Felipe Moretti

CoRR, November, 2025

USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding.

Youssef Megahed, Robin Ducharme, Mark C. Walker, Steven Hawken, Adrian D. C. Chan

CoRR, October, 2025

2023

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation.

André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger

IEEE Trans. Pattern Anal. Mach. Intell., 2023

CAManim: Animating end-to-end network activation maps.

Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick

CoRR, 2023

MetaCAM: Ensemble-Based Class Activation Map.

Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick

CoRR, 2023

2021

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation.

André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger

CoRR, 2021

2006

Re-abstraction Study of Discharges from Ontario Case Costing Hospitals.

Heather Richards, Ann Chapman, Caroline Pelletier, Steven Hawken

Proceedings of the 11th International Conference on Information Quality, 2006

Data and Information Quality at the Canadian Institute for Health Information.

Ann Chapman, Heather Richards, Steven Hawken

Proceedings of the 11th International Conference on Information Quality, 2006