arrow
Back
D

Daniel L. Rubin

rollins school public health

77H-index
574Paper Count
2.6WCitation Count
Published Papers 169
Publication Date
Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models
err2026-05-23
err0
PREAI
errSikha, Madhu Babu; Tariq, Amara; Kurian, Allison W.; Ward, Kevin C.; Keegan, Theresa H. M.; Rubin, Daniel L.; Banerjee, Imon
errShare
errSave
Creation of Radiology Teaching Content with STELLA—A STandardized Electronic Learning Library and Application Platform
err2025-12-26
err0
PREAI
errChristopher F. Beaulieu; Bao Do; Margaret Lin; Eddy Zandee van Rilland; Amanda Rigas; Emel Alkim; Ozge Yurtsever; James Robertson; Shannon Wang; Daniel L. Rubin
errShare
errSave
errShare
errSave
Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT
err2024-09-01
err0
PREAI
errJi, Zexuan; Ma, Xiao; Leng, Theodore; Rubin, Daniel L.; Chen, Qiang
errShare
errSave
Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit
err2024-08-01
err0
PREAI
errLuo, Man; Trivedi, Shubham; Kurian, Allison W.; Ward, Kevin; Keegan, Theresa H. M.; Rubin, Daniel; Banerjee, Imon
errShare
errSave
Privacy preservation for federated learning in health care
err2024-07-01
err4
errOAAI
errPati, Sarthak; Kumar, Sourav; Varma, Amokh; Edwards, Brandon; Lu, Charles; Qu, Liangqiong; Wang, Justin J.; Lakshminarayanan, Anantharaman; Wang, Shih-han; Sheller, Micah J.; Chang, Ken; Singh, Praveer; Rubin, Daniel L.; Kalpathy-Cramer, Jayashree; Bakas, Spyridon
errShare
errSave
Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study
err2024-05-01
err2
errOAAI
errChaves, Juan M. Zambrano; Lenchik, Leon; Gallegos, Isabel O.; Blankemeier, Louis; Liang, Tie; Rubin, Daniel L.; Willis, Marc H.; Chaudhari, Akshay S.; Boutin, Robert D.
errShare
errSave
Towards trustworthy seizure onset detection using workflow notes
err2024-02-21
err1
errOAAI
errSaab, Khaled; Tang, Siyi; Taha, Mohamed; Lee-Messer, Christopher; Re, Christopher; Rubin, Daniel L.
errShare
errSave
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
err2023-11-29
err8
errOAAI
errZambrano Chaves, Juan M.; Wentland, Andrew L.; Desai, Arjun D.; Banerjee, Imon; Kaur, Gurkiran; Correa, Ramon; Boutin, Robert D.; Maron, David J.; Rodriguez, Fatima; Sandhu, Alexander T.; Rubin, Daniel; Chaudhari, Akshay S.; Patel, Bhavik N.
errShare
errSave
errShare
errSave
MRI pulse sequence integration for deep-learning-based brain metastases segmentation ( aug 2021 , 10.1002/mp.15136 )
err2023-08-13
err0
errOAAI
errYi, D.; Grovik, E.; Tong, E.; Iv, Michael; Emblem, Kyrre Eeg; Nilsen, Line Brennhaug; Saxhaug, Cathrine; Latysheva, Anna; Jacobsen, Kari Dolven; Helland, Aslaug; Zaharchuk, Greg; Rubin, Daniel
errShare
errSave
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women
err2023-08-06
err4
errOAAI
errHabel, Laurel A.; Alexeeff, Stacey E.; Achacoso, Ninah; Arasu, Vignesh A.; Gastounioti, Aimilia; Gerstley, Lawrence; Klein, Robert J.; Liang, Rhea Y.; Lipson, Jafi A.; Mankowski, Walter; Margolies, Laurie R.; Rothstein, Joseph H.; Rubin, Daniel L.; Shen, Li; Sistig, Adriana; Song, Xiaoyu; Villasenor, Marvella A.; Westley, Mark; Whittemore, Alice S.; Yaffe, Martin J.; Wang, Pei; Kontos, Despina; Sieh, Weiva
errShare
errSave
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
err2023-07-01
err33
errOAAI
errYan, Rui; Qu, Liangqiong; Wei, Qingyue; Huang, Shih-Cheng; Shen, Liyue; Rubin, Daniel L.; Xing, Lei; Zhou, Yuyin
errShare
errSave
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
err2023-04-13
err3
errOAAI
errAlam, Minhaj Nur; Yamashita, Rikiya; Ramesh, Vignav; Prabhune, Tejas; Lim, Jennifer I.; Chan, R. V. P.; Hallak, Joelle; Leng, Theodore; Rubin, Daniel
errShare
errSave
PlexusNet: A neural network architectural concept for medical image classification
err2023-03-01
err10
errOAAI
errEminaga, Okyaz; Abbas, Mahmoud; Shen, Jeanne; Laurie, Mark; Brooks, James D.; Liao, Joseph C.; Rubin, Daniel L.
errShare
errSave
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models
err2023-01-12
err12
errOAAI
errWang, Yan-Ran (Joyce); Wang, Pengcheng; Adams, Lisa Christine; Sheybani, Natasha Diba; Qu, Liangqiong; Sarrami, Amir Hossein; Theruvath, Ashok Joseph; Gatidis, Sergios; Ho, Tina; Zhou, Quan; Pribnow, Allison; Thakor, Avnesh S.; Rubin, Daniel; Daldrup-Link, Heike E.
errShare
errSave
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks
err2023-01-01
err7
errOAAI
errTang, Siyi; Tariq, Amara; Dunnmon, Jared A.; Sharma, Umesh; Elugunti, Praneetha; Rubin, Daniel L.; Patel, Bhavik N.; Banerjee, Imon
errShare
errSave
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging
err2022-09-01
err36
errOAAI
errZhang, Miao; Qu, Liangqiong; Singh, Praveer; Kalpathy-Cramer, Jayashree; Rubin, Daniel L.
errShare
errSave
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes
err2022-08-01
err34
errOAAI
errTang, Siyi; Razeghi, Orod; Kapoor, Ridhima; Alhusseini, Mahmood, I; Fazal, Muhammad; Rogers, Albert J.; Bort, Miguel Rodrigo; Clopton, Paul; Wang, Paul J.; Rubin, Daniel L.; Narayan, Sanjiv M.; Baykaner, Tina
errShare
errSave