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L

Lauren Erdman

university of toronto
H指数:25
被引数:1,943

个人简介

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教育背景

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工作经历

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荣誉奖项

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Predictors of weight gain in under-five children with severe acute malnutrition: A machine learning analysis of a tertiary care hospital dataset

五岁以下重症急性营养不良儿童体重增加的预测因子：一项三级医院数据集的机器学习分析

Clinical Nutrition ESPEN
IF2.6
2026-05-230
OAAI
Fahim, Shah Mohammad; Massara, Paraskevi; Das, Subhasish; Alam, Md Ashraful; Hasan, S. M. Tafsir; Brals, Daniella; Erdman, Lauren; Comelli, Elena M.; Mahfuz, Mustafa; Voskuijl, Wieger; Ahmed, Tahmeed; Bandsma, Robert H. J.
A deep representation learning model to predict response to vagus nerve stimulation

一种用于预测迷走神经刺激反应的深度表示学习模型

Nature Communications
IF15.7
2026-04-070
OAAI
Hrishikesh Suresh; Karim Mithani; Vicki Li; Timur H. Latypov; Nebras M. Warsi; Simeon M. Wong; Lauren Erdman; Jaeyoung Kang; Jurgen Germann; Flavia Venetucci Gouveia; Sebastian C. Coleman; Alexandre Berger; Vann Chau; Shelly Weiss; Carolina Gorodetsky; Elizabeth Donner; Alexander G. Weil; Jignesh Tailor; Taylor J. Abel; Madison Remick; Emefa Akwayena; Dewi Schrader; Robert J. Bollo; Matthew D. Smyth; Diana Aum; Sean M. Lew; Shelly Wang; Toba N. Niazi; Aria Fallah; Jeffrey S. Raskin; Howard L. Weiner; Nisha Gadgil; Gregory W. Albert; Aristides Hadjinicolaou; Philippe Major; Farbod Niazi; Guillaume Theaud; Sami Obaid; Elysa Widjaja; Birgit Ertl-Wagner; Logi Vidarsson; Margot J. Taylor; Alexandre Boutet; James T. Rutka; Melissa A. LoPresti; Puneet Jain; George M. Ibrahim
The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative

2025年儿科泌尿外科人工智能模型更新：AI-PEDURO合作项目的结果

Journal of Pediatric Urology
IF1.9
2026-02-010
PRE
Khondker, Adree; Ahmad, Ihtisham; Dhalla, Rahim; Kaushal, Sanchit; Kwong, Jethro C. C.; Rickard, Mandy; Erdman, Lauren; Gabrielson, Andrew T.; Nguyen, David-Dan; Kim, Jin Kyu; Chun, Brian; Abbas, Tariq; Fernandez, Nicolas; Fischer, Katherine; Hoen, Lisette A. 't; Keefe, Daniel T.; Nelson, Caleb P.; Wang, Hsin-Hsiao (scott); Weaver, John; Lorenzo, Armando J.
Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model

利用机器学习方法对移植后肝癌模型进行多伦多复发推断验证

Communications Medicine
IF6.3
2025-07-090
OAAI
Zhihao Li; Itsuko Chih-Yi Chen; Leonardo Centonze; Christian T. J. Magyar; Woo Jin Choi; Tommy Ivanics; Grainne M. O’Kane; Arndt Vogel; Lauren Erdman; Luciano De Carlis; Jan Lerut; Quirino Lai; Vatche G. Agopian; Neil Mehta; Chao-Long Chen; Gonzalo Sapisochin
The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone (vol 14, 22748, 2024)
SCIENTIFIC REPORTS
IF3.9
2024-10-180
OAAI
Erdman, Lauren; Rickard, Mandy; Drysdale, Erik; Skreta, Marta; Hua, Stanley Bryan; Sheth, Kunj; Alvarez, Daniel; Velaer, Kyla N.; Chua, Michael E.; Dos Santos, Joana; Keefe, Daniel; Rosenblum, Norman D.; Bonnett, Megan A.; Weaver, John; Xiang, Alice; Fan, Yong; Viteri, Bernarda; Cooper, Christopher S.; Tasian, Gregory E.; Lorenzo, Armando J.; Goldenberg, Anna
The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone
SCIENTIFIC REPORTS
IF3.9
2024-10-012
OAAI
Erdman, Lauren; Rickard, Mandy; Drysdale, Erik; Skreta, Marta; Hua, Stanley Bryan; Sheth, Kunj; Alvarez, Daniel; Velaer, Kyla N.; Chua, Michael E.; Dos Santos, Joana; Keefe, Daniel; Rosenblum, Norman D.; Bonnett, Megan A.; Weaver, John; Xiang, Alice; Fan, Yong; Viteri, Bernarda; Cooper, Christopher S.; Tasian, Gregory E.; Lorenzo, Armando J.; Golenberg, Anna
Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography
NEURAL NETWORKS
IF6.3
2023-10-012
OAAI
Warsi, Nebras M.; Wong, Simeon M.; Germann, Juergen; Boutet, Alexandre; Arski, Olivia N.; Anderson, Ryan; Erdman, Lauren; Yan, Han; Suresh, Hrishikesh; Gouveia, Flavia Venetucci; Loh, Aaron; Elias, Gavin J. B.; Kerr, Elizabeth; Smith, Mary Lou; Ochi, Ayako; Otsubo, Hiroshi; Sharma, Roy; Jain, Puneet; Donner, Elizabeth; Lozano, Andres M.; Snead, O. Carter; Ibrahim, George M.
Machine learning-based mortality prediction models using national liver transplantation registries are feasible but have limited utility across countries

使用国家肝移植登记处的基于机器学习的死亡率预测模型是可行的，但在各国的实用性有限

AMERICAN JOURNAL OF TRANSPLANTATION
IF8.2
2023-01-013
OA
Ivanics, Tommy; So, Delvin; Claasen, Marco P. A. W.; Wallace, David; Patel, Madhukar S.; Gravely, Annabel; Choi, Woo Jin; Shwaartz, Chaya; Walker, Kate; Erdman, Lauren; Sapisochin, Gonzalo
Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment

由机器学习形成的系统性红斑狼疮表型，特别关注认知障碍

RHEUMATOLOGY
IF4.4
2022-11-179
OA
Barraclough, Michelle; Erdman, Lauren; Diaz-Martinez, Juan Pablo; Knight, Andrea; Bingham, Kathleen; Su, Jiandong; Kakvan, Mahta; Grajales, Carolina Munoz; Tartaglia, Maria Carmela; Ruttan, Lesley; Wither, Joan; Choi, May Y.; Bonilla, Dennisse; Appenzeller, Simone; Parker, Ben; Goldenberg, Anna; Katz, Patricia; Beaton, Dorcas; Green, Robin; Bruce, Ian N.; Touma, Zahi

研究方向

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A
Anna Goldenberg
H 指数:48论文数:427被引数:1.6万
A
Armando J. Lorenzo
H 指数:49论文数:600被引数:9,537
M
Mandy Rickard
H 指数:22论文数:206被引数:1,791
A
Adree Khondker
H 指数:23论文数:113被引数:1,384
M
Michael Chua
H 指数:24论文数:314被引数:2,317
P
Paul Arnold
H 指数:57论文数:356被引数:1.2万
T
Tommy Ivanics
H 指数:25论文数:200被引数:1,995
J
Jethro C.C. Kwong
H 指数:16论文数:89被引数:728
D
Daniel T. Keefe
H 指数:17论文数:91被引数:950
M
Marta Skreta
H 指数:18论文数:56被引数:1,345