The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ... Radiology: Artificial Intelligence 5 (1), e220047, 2023 | 25 | 2023 |
Automatic classification of cancer pathology reports: a systematic review T Santos, A Tariq, JW Gichoya, H Trivedi, I Banerjee Journal of Pathology Informatics 13, 100003, 2022 | 15 | 2022 |
PathologyBERT-pre-trained vs. a new transformer language model for pathology domain T Santos, A Tariq, S Das, K Vayalpati, GH Smith, H Trivedi, I Banerjee AMIA Annual Symposium Proceedings 2022, 962, 2022 | 12 | 2022 |
Recurrent neural networks (RNNs): architectures, training tricks, and introduction to influential research S Das, A Tariq, T Santos, SS Kantareddy, I Banerjee Machine Learning for Brain Disorders, 117-138, 2023 | 10 | 2023 |
Toward a Dichotomy for Approximation of -coloring A Rafiey, A Rafiey, T Santos arXiv preprint arXiv:1902.02201, 2019 | 8 | 2019 |
The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.5 M screening and diagnostic mammograms JJ Jeong, BL Vey, A Reddy, T Kim, T Santos, R Correa, R Dutt, ... radiology artificial intelligence, 2022 | 5 | 2022 |
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text T Santos, ON Kallas, J Newsome, D Rubin, JW Gichoya, I Banerjee AMIA Annual Symposium Proceedings 2021, 1079, 2021 | 3 | 2021 |
Natural Language Processing for Cardiovascular Applications A Tariq, T Santos, I Banerjee Artificial Intelligence in Cardiothoracic Imaging, 231-243, 2022 | 1 | 2022 |
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC)--an end-to-end model for characterizing severity and diagnosis T Santos, H Kamath, CR McAdams, MS Newell, M Mosunjac, ... arXiv preprint arXiv:2312.12442, 2023 | | 2023 |