Predicting Obstructive Hydronephrosis Based on Ultrasound Alone. - Lauren Erdman; Marta Skreta; Mandy Rickard; Carson McLean; Aziz Mezlini; Daniel T. Keefe; Anne-Sophie Blais; Michael Brudno; Armando J. Lorenzo; Anna Goldenberg (MICCAI (3), 2020)

Barriers and opportunities to improve renal outcomes in South Africa using AI technology for pediatric ultrasound interpretation. - Lauren Erdman; Karen Milford; Zubrina Solomon; Mandy Rickard; Armando J. Lorenzo; Andrew Grieve; Anna Goldenberg (ICTD, 2022)

From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis. - Stanley Bryan Z. Hua; Mandy Rickard; John Weaver; Alice X. Xiang; Daniel Alvarez; Kyla N. Velear; Kunj Sheth; Gregory E. Tasian; Armando J. Lorenzo; Anna Goldenberg; Lauren Erdman (CoRR, 2022)

The silent trial - the bridge between bench-to-bedside clinical AI applications. - Jethro C. C. Kwong; Lauren Erdman; Adree Khondker; Marta Skreta; Anna Goldenberg; Melissa D. McCradden; Armando J. Lorenzo; Mandy Rickard (Frontiers Digit. Health, 2022)

Moment-alignment domain adaptation in the few-shot and low-resource context. - Lauren Erdman; Mandy Rickard; Kyla N. Velear; Daniel Alvarez; Kunj Sheth; Armando J. Lorenzo; Bo Wang 044; Anna Goldenberg (SIPAIM, 2023)

Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios. - Mariia Rizhko; Lauren Erdman; Mandy Rickard; Kunj Sheth; Daniel Alvarez; Kyla N. Velear; Megan A. Bonnett; Christopher S. Cooper; Gregory E. Tasian; John Weaver; Alice X. Xiang; Armando J. Lorenzo; et al. (MIDL, 2024)