↩ go back to Artificial Intelligence Operations & Data Science Services (AIOS) Group page
|
[35] GPT-4 in a Cancer Center — Institute-Wide Deployment Challenges and Lessons Learned R Umeton, A Kwok, R Maurya, D Leco, N Lenane, J Willcox, GA Abel, M Tolikas, Dana-Farber Generative AI Governance Committee, JM Johnson NEJM AI, 1, 4, 2024 |
|
|
[34] Genomic and immunophenotypic landscape of acquired resistance to PD-(L) 1 blockade in non-small-cell lung cancer B Ricciuti, G Lamberti, SR Puchala, NR Mahadevan, JR Lin, JV Alessi, A Chowdhury, et al. Journal of Clinical Oncology, JCO.23.00580, 2024 |
|
|
[33] Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, et al. Nature Machine Intelligence, 5, 799, 2023 |
|
|
[32] A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories D Placido, B Yuan, JX Hjaltelin, C Zheng, AD Haue, PJ Chmura, C Yuan, et al. Nature Medicine, 29, 1113, 2023 |
|
|
[31] GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, et al. Communications Engineering, 2 (1), 23, 2023 |
|
|
[30] Measuring Palliative Care Communication via Telehealth: A Pilot Study EC Tarbi, BN Durieux, JM Brain, A Kwok, R Umeton, S Samineni, et al. Journal of Pain and Symptom Management, 2023 |
|
|
B Ricciuti, G Lamberti, S Puchala, N Mahadevan, J Alessi, X Wang, Y Li, et al. Cancer Research, 83, 6629, 2023 |
|
|
[28] PI‐RADS 3 score: A retrospective experience of clinically significant prostate cancer detection A Camacho, F Salah, CP Bay, J Waring, R Umeton, MS Hirsch, AP Cole, et al. BJUI Compass, 2023 |
|
|
J Nyman, T Denize, Z Bakouny, C Labaki, BM Titchen, K Bi, SN Hari, et al. bioRxiv, 2023.01. 18.524545, 2023 |
|
|
[26] Book Chapter - A Review of Medical Federated Learning: Applications in Oncology and Cancer Research A Chowdhury, H Kassem, N Padoy, R Umeton, A Karargyris Book Chapter MICCAI - Springer 1 (dx.doi.org/10.6084/m9.figshare.21071200), 3-24, 2022 |
|
|
B Ricciuti, X Wang, JV Alessi, H Rizvi, NR Mahadevan, YY Li, A Polio, ... JAMA Oncology, doi:10.1001/jamaoncol.2022.1981, 2022 |
|
|
[24] A multi-omics signature for patients’ risk classification in prostate cancer Z Xu, E Benedetti, R Carelli, J Rosenthal, H Pakula, M Omar, R Umeton, ... Cancer Research, 82 (12), 5858, 2022 |
|
|
TF Gray, A Kwok, KM Do, S Zeng, ET Moseley, YM Dbeis, R Umeton, ... JMIR medical informatics 10 (6), e33921, 2022 |
|
|
M Omar, Z Xu, R Carelli, J Rosenthal, D Brundage, DC Salles, EL Imada, ... Cancer Research 82 (12), 462, 2022 |
|
|
D Placido, B Yuan, JX Hjaltelin, AD Haue, PJ Chmura, C Yuan, J Kim, ... Cancer Research 82 (12), LB550, 2022 |
|
|
C Lindvall, CY Deng, ND Agaronnik, A Kwok, S Samineni, R Umeton, ... JCO Clinical Cancer Informatics 6, e2100136, 2022 |
|
|
J Rosenthal, R Carelli, M Omar, D Brundage, E Halbert, J Nyman, SN Hari, ... Molecular Cancer Research 21 (655), 2022 |
|
|
[18] Multi-omics biomarkers aid prostate cancer prognostication Z Xu, M Omar, E Benedetti, J Rosenthal, R Umeton, J Krumsiek, ... bioRxiv, 2022 |
|
|
G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, PM Pardalos, ... Book - Springer 13163 (http://doi.org/10.1007/978-3-030-95467-3), 1-644, 2022 |
|
|
G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, PM Pardalos, ... Book - Springer 13164 (http://doi.org/10.1007/978-3-030-95470-3), 1-548, 2022 |
|
|
BL Bychkovsky, T Li, J Sotelo, N Tayob, J Mercado, I Gomy, A Chittenden, ... Clinical cancer research: an official journal of the American Association …, 2022 |
|
|
[14] Whole Slide Image to DICOM Conversion as Event-Driven Cloud Infrastructure D Brundage, J Rosenthal, R Carelli, S Rand, R Umeton, M Loda, ... arXiv preprint arXiv:2203.13888, 2022 |
|
|
[13] MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ... arXiv preprint arXiv:2110.01406, 2021 |
|
|
A Chowdhury, J Rosenthal, J Waring, R Umeton Informatics 8 (3, Machine Learning in Healthcare), 59, 2021 |
|
|
[11] Pancreatic cancer risk predicted from disease trajectories using deep learning D Placido, B Yuan, JX Hu, AD Haue, C Yuan, J Kim, R Umeton, G Antell, ... bioRxiv, 2021 |
|
|
[10] Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum KL Penney, S Tyekucheva, J Rosenthal, H El Fandy, R Carelli, ... Molecular Cancer Research [machine learning; metabolomics; prostate cancer …, 2021 |
|
|
BL Bychkovsky, T Li, J Sotelo, N Tayob, J Mercado, I Gomy, ... Journal of Clinical Oncology 39 (15_suppl), 10528-10528, 2021 |
|
|
G Nicosia, V Ojha, L Malfa E., G Jansen, V Sciacca, P Pardalos, ... Book - Springer 12565 (http://doi.org/10.1007/978-3-030-64583-0), 1-740, 2021 |
|
|
G Nicosia, V Ojha, L Malfa E., G Jansen, V Sciacca, P Pardalos, ... Book - Springer 12566 (http://doi.org/10.1007/978-3-030-64580-9), 1-666, 2021 |
|
|
[6] Using Distributionally Robust Optimization to improve robustness in cancer pathology SN Hari, E Van Allen, J Nyman, N Mehta, B Jiang, H Elmarakeby, ... NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 |
|
|
J Rosenthal, R Carelli, M Omar, D Brundage, E Halbert, J Nyman, SN Hari, ... biorxiv, 10.1101/2021.10.21.46521, 2021 |
|
|
T Fowler Gray, A Kwok, KM Do, S Zeng, ET Moseley, YM Dbeis, ... Journal of Medical Internet Research, 33921, 2021 |
|
|
[3] Examining Batch Effect in Histopathology as a Distributionally Robust Optimization Problem SN Hari, J Nyman, N Mehta, H Elmarakeby, B Jiang, F Dietlein, ... bioRxiv, 2021 |
|
|
[2] Applied Self-Supervised Learning: Review of the State-of-the-Art and Implementations in Medicine A Chowdhury, J Rosenthal, J Waring, R Umeton Preprints, 2021 |
|
|
B Ricciuti, KC Arbour, NR Mahadevan, JV Alessi, J Lindsay, R Umeton, ... Cancer Research 81 (13), 490, 2021 |
|