Lauren Erdman

According to our database, Lauren Erdman authored at least 14 papers between 2016 and 2025.

Collaborative distances:

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

2025

Comparative methods for histology-based prediction of anti-TNFα response in pediatric Crohn's disease.

Sixten Heekin, Nicholas Denson, Julia Smith, Ilyssa Gordon, Lee Denson, Jonathan R. Dillman, David Bruining, Florian Reider, Jasbir Dhaliwal, Lauren Erdman

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography.

Ping He, Faith Zhu, Rakhika Kumar, Wei Hui, Mariella Vargas-Gutierrez, Mark Friedberg, Luc Mertens, Lauren Erdman

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

2024

metasnf: Meta Clustering with Similarity Network Fusion in R.

Prashanth S. Velayudhan, Xiaoqiao Xu, Prajkta Kallurkar, Ana Patricia Balbon, Maria T. Secara, Adam Taback, Denise Sabac, Nicholas Chan, Shihao Ma, Bo Wang, Daniel Felsky, Stephanie H. Ameis, Brian Cox, Colin Hawco, Lauren Erdman, Anne L. Wheeler

CoRR, 2024

Trade-Offs in Deep Learning Model Loss and Configuration for Sparse Histological Segmentation: A Case Study in Pediatric Ileal Histology.

Sixten Heekin, Oscar Lopez-Nunez, Julia Smith, Nicholas Denson, Lee Denson, Alexander Miethke, Jonathan R. Dillman, Emily Miraldi, J. Matthew Kofron, Jasbir Dhaliwal, Lauren Erdman

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

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, Anna Goldenberg

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Nebras M. Warsi, Simeon M. Wong, Jürgen Germann, Alexandre Boutet, Olivia N. Arski, Ryan Anderson, Lauren Erdman, Han Yan, Hrishikesh Suresh, Flavia Venetucci Gouveia, Aaron Loh, Gavin J. B. Elias, Elizabeth Kerr, Mary Lou Smith, Ayako Ochi, Hiroshi Otsubo, Roy Sharma, Puneet Jain, Elizabeth Donner, Andres M. Lozano, O. Carter Snead, George M. Ibrahim

Neural Networks, October, 2023

Deep Transfer Learning Models for Prediction from Ultrasound

Lauren Erdman

PhD thesis, 2023

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, Anna Goldenberg

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

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

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

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

Proceedings of the 2022 International Conference on Information and Communication Technologies and Development, 2022

2020

Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration.

Shems Saleh, William Boag, Lauren Erdman, Tristan Naumann

Proceedings of the Machine Learning for Healthcare Conference, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2016

Modeling trajectories of mental health: challenges and opportunities.

Lauren Erdman, Ekansh Sharma, Eva Unternaehrer, Shantala A. Hari Dass, Kieran J. O'Donnell, Sara Mostafavi, Rachel Edgar, Michael S. Kobor, Hélène Gaudreau, Michael J. Meaney, Anna Goldenberg

CoRR, 2016