| Systems and methods for frame-based validation HV Pokkalla, HL Elliott, D Wang, BP Glass, IN Wapinski, JK Kerner, ... US Patent 11,915,823, 2024 | | 2024 |
| Systems and methods for training a statistical model to predict tissue characteristics for a pathology image AH Beck, A Khosla US Patent 11,908,139, 2024 | | 2024 |
| Systems and methods for training a statistical model to predict tissue characteristics for a pathology image AH Beck, A Khosla US Patent 11,756,198, 2023 | | 2023 |
| Systems and methods for training a model to predict survival time for a patient AH Beck, A Khosla US Patent 11,657,505, 2023 | 1 | 2023 |
| Systems and methods for frame-based validation HV Pokkalla, HL Elliott, D Wang, BP Glass, IN Wapinski, JK Kerner, ... US Patent 11,527,319, 2022 | 1 | 2022 |
| Systems and methods for machine learning (ml) model diagnostic assessments based on digital pathology data B Glass, ST Chavali, SA Javed, SS Weaver, M Resnick, I Wapinski, ... US Patent App. 17/747,536, 2022 | 1 | 2022 |
| Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab±ipilimumab V Baxi, G Lee, C Duan, D Pandya, DN Cohen, R Edwards, H Chang, J Li, ... Modern Pathology 35 (11), 1529-1539, 2022 | 23 | 2022 |
| Quantitative multimodal anisotropy imaging enables automated fibrosis assessment of HandE-stained tissue Y Zhang, J Zhang, M Drage, J Iyer, B Gosink, T Nguyen, W Tahir, ... Journal of Hepatology 77, S708-S709, 2022 | | 2022 |
| Systems and methods for training a statistical model to predict tissue characteristics for a pathology image AH Beck, A Khosla US Patent 11,195,279, 2021 | 3 | 2021 |
| Systems and methods for predicting tissue characteristics for a pathology image using a statistical model AH Beck, A Khosla US Patent 11,080,855, 2021 | 5 | 2021 |
| A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH A Taylor‐Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ... Hepatology 74 (1), 133-147, 2021 | 147 | 2021 |
| Systems and methods for training a model to predict survival time for a patient AH Beck, A Khosla US Patent 11,017,532, 2021 | 2 | 2021 |
| Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes JA Diao, JK Wang, WF Chui, V Mountain, SC Gullapally, R Srinivasan, ... Nature communications 12 (1), 1613, 2021 | 164 | 2021 |
| Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study A Taylor-Weiner, A Pedawi, WF Chui, J Diao, J Wang, V Mountain, ... Cancer Research 81 (4_Supplement), PD6-04-PD6-04, 2021 | 2 | 2021 |
| Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study A Taylor-Weiner, A Pedawi, WF Chui, J Diao, J Wang, V Mountain, ... CANCER RESEARCH 81 (4), 2021 | | 2021 |
| Validation of a machine learning-based approach (DELTA liver fibrosis score) for the assessment of histologic response in patients with advanced fibrosis due to NASH AH Taylor-Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ... The Liver Meeting Digital Experience™, 2020 | 2 | 2020 |
| 286P Artificial intelligence analysis of advanced breast cancer patients from a phase I trial of trastuzumab deruxtecan (T-DxD): HER2 and histopathology features as predictors … S Modi, B Glass, A Prakash, A Taylor-Weiner, H Elliott, I Wapinski, ... Annals of Oncology 31, S355-S356, 2020 | 2 | 2020 |
| Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer JA Diao, WF Chui, JK Wang, RN Mitchell, SK Rao, MB Resnick, A Lahiri, ... bioRxiv, 2020.08. 02.233197, 2020 | 9 | 2020 |
| Machine learning-based identification of predictive features of the tumor micro-environment and vasculature in NSCLC patients using the IMpower150 study. A Taylor-Weiner, A Beck, JD Cowan, H Elliott, J Fridlyand, B Glass, ... Journal of Clinical Oncology 38 (15_suppl), 3130-3130, 2020 | 2 | 2020 |
| Systems and methods for training a model to predict survival time for a patient AH Beck, A Khosla US Patent 10,650,929, 2020 | 35 | 2020 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu