output
20192024
most citedTowards objective and systematic evaluation of bias in artificial intelligence for medical imaging

27 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CE2024

Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data

Guojun Tang, Jason E. Black, Tyler S. Williamson +1

Integrating Electronic Health Records (EHR) and the application of machine learning present opportunities for enhancing the accuracy and accessibility of data-driven diabetes predi…

cs.CV2023★ 27 cited

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

Emma A. M. Stanley, Raissa Souza, Anthony Winder +4

Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of disparities in performance between subgroups. Since not all so…

cs.LG2022★ 1 cited

Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit

Raphael Azriel, Cecil D. Hahn, Thomas De Cooman +5

Objective: Epileptic seizures are relatively common in critically-ill children admitted to the pediatric intensive care unit (PICU) and thus serve as an important target for identi…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

q-bio.NC2019★ 11 cited

Visuospatial short-term memory and dorsal visual gray matter volume

Dennis Dimond, Rebecca Perry, Giuseppe Iaria +1

Visual short-term memory (VSTM) is an important cognitive capacity that varies across the healthy adult population and is affected in several neurodevelopmental disorders. It has b…