Lauren Erdman - RankMe

15 papers C 1Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparative methods for histology-based prediction of anti-TNFα response in pediatric Crohn's disease. SIPAIM Sixten Heekin, Nicholas Denson, Julia Smith, Ilyssa Gordon, Lee Denson, Jonathan R. Dillman, David Bruining, Florian Reider, Jasbir Dhaliwal, Lauren Erdman
2025	—	`conf`	Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography. SIPAIM Ping He, Faith Zhu, Rakhika Kumar, Wei Hui, Mariella Vargas-Gutierrez, Mark Friedberg, Luc Mertens, Lauren Erdman
2024	—	`conf`	Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios. MIDL 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
2024	—	`conf`	Trade-Offs in Deep Learning Model Loss and Configuration for Sparse Histological Segmentation: A Case Study in Pediatric Ileal Histology. SIPAIM 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
2024	J	`jnl`	metasnf: Meta Clustering with Similarity Network Fusion in R. CoRR 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
2023	—	`—`	Deep Transfer Learning Models for Prediction from Ultrasound Lauren Erdman
2023	J	`jnl`	Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography. Neural Networks 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
2023	—	`conf`	Moment-alignment domain adaptation in the few-shot and low-resource context. SIPAIM Lauren Erdman, Mandy Rickard, Kyla N. Velear, Daniel Alvarez, Kunj Sheth, Armando J. Lorenzo, Bo Wang, Anna Goldenberg
2023	—	`ed.`	Proceedings of the Workshop on Data Science Techniques for Datasets on Mental and Neurodegenerative Disorders co-located with SDS23 IEEE Swiss Conference on Data Science(IEEESDS'23), Zürich, Switzerland , June 22, 2023. DSTNDS Vincenzo Dentamaro, Mah Parsa, Lauren Erdman
2022	C	`conf`	Barriers and opportunities to improve renal outcomes in South Africa using AI technology for pediatric ultrasound interpretation. ICTD Lauren Erdman, Karen Milford, Zubrina Solomon, Mandy Rickard, Armando J. Lorenzo, Andrew Grieve, Anna Goldenberg
2022	J	`jnl`	From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis. CoRR 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
2022	J	`jnl`	The silent trial - the bridge between bench-to-bedside clinical AI applications. Frontiers Digit. Health Jethro C. C. Kwong, Lauren Erdman, Adree Khondker, Marta Skreta, Anna Goldenberg, Melissa D. McCradden, Armando J. Lorenzo, Mandy Rickard
2020	—	`conf`	Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration. MLHC Shems Saleh, William Boag, Lauren Erdman, Tristan Naumann
2020	—	`conf`	Predicting Obstructive Hydronephrosis Based on Ultrasound Alone. MICCAI (3) Lauren Erdman, Marta Skreta, Mandy Rickard, Carson McLean, Aziz Mezlini, Daniel T. Keefe, Anne-Sophie Blais, Michael Brudno, Armando J. Lorenzo, Anna Goldenberg
2016	J	`jnl`	Modeling trajectories of mental health: challenges and opportunities. CoRR 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