381 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA46 papers
- SickKids FoundationCA15 papers
- University College LondonGB11 papers
- Public Health OntarioCA8 papers
- Institute for Clinical Evaluative SciencesCA7 papers
- Stanford UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Toronto Western HospitalCA4 papers
- University of California, BerkeleyUS4 papers
- Centro de Investigación y Docencia EconómicasMX3 papers
- Harvard UniversityUS3 papers
- Johns Hopkins UniversityUS3 papers
4 papers · 1 filter
Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry
Tina Yao, Nicole St. Clair, Gabriel F. Miller +13
Purpose: To develop and evaluate an end-to-end deep learning pipeline for segmentation and analysis of cardiac magnetic resonance images to provide core-lab processing for a multi-…
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Chun-Hao Chang, George Alexandru Adam, Anna Goldenberg
Despite the success of machine learning applications in science, industry, and society in general, many approaches are known to be non-robust, often relying on spurious correlation…
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow
Self-supervised learning methods for computer vision have demonstrated the effectiveness of pre-training feature representations, resulting in well-generalizing Deep Neural Network…
A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants
Subhayan Mukherjee, Irene Cheng, Steven Miller +3
White Matter Injury (WMI) is the most prevalent brain injury in the preterm neonate leading to developmental deficits. However, detecting WMI in Magnetic Resonance (MR) images of p…