| 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), 1-15, 2021 | 150 | 2021 |
| Who shot the picture and when? G Kanojia, SR Malireddi, SC Gullapally, S Raman International Symposium on Visual Computing, 438-447, 2014 | 6 | 2014 |
| Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology SC Gullapally, Y Zhang, NK Mittal, D Kartik, S Srinivasan, K Rose, ... arXiv preprint arXiv:2305.02401, 2023 | 4 | 2023 |
| Dynamic object localization using hand-held cameras SC Gullapally, SR Malireddi, S Raman 2015 Twenty First National Conference on Communications (NCC), 1-6, 2015 | 3 | 2015 |
| 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 |
| 1291 A multi-tumor machine learning model to identify tertiary lymphoid structures in histopathological H&E images as a potential clinical biomarker V Matos-Cruz, R Sargent, V Chinnaobireddy, M Pouryahya, G Lee, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | 1 | 2022 |
| Abstract PO-072: Robust deployment of ML models quantifying the H&E tumor microenvironment in NSCLC subjects from an AstraZeneca-sponsored phase II clinical trial B Glass, L Dillon, G Chhor, S Hoffman, V Chinnaobireddy, SC Gullapally, ... Clinical Cancer Research 27 (5 Supplement), PO-072-PO-072, 2021 | 1 | 2021 |
| Machine Learning Identification, Classification, and Quantification of Tertiary Lymphoid Structures V Matos-Cruz, G Lee, V Chinnaobireddy, M Pouryahya, DT Fahy, ... US Patent App. 18/297,281, 2023 | | 2023 |
| ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis TH Nguyen, D Juyal, J Li, A Prakash, S Nofallah, C Shah, SC Gullapally, ... arXiv preprint arXiv:2306.04527, 2023 | | 2023 |
| Deep learning identifies pathobiological features within H&E images associated with genomic alterations and progression on anti-PD (L) 1 in HUDSON, an AstraZeneca-sponsored … L Dillon, M Hernandez, B Glass, G Chhor, S Hoffman, V Chinnaobireddy, ... CANCER RESEARCH 81 (13), 2021 | | 2021 |
| Abstract LB016: Deep learning identifies pathobiological features within H&E images associated with genomic alterations and progression on anti-PD (L) 1 in HUDSON, an … L Dillon, M Hernandez, B Glass, G Chhor, S Hoffman, V Chinnaobireddy, ... Cancer Research 81 (13 Supplement), LB016-LB016, 2021 | | 2021 |
| Robust deployment of ML models quantifying the H&E tumor microenvironment in NSCLC subjects from an AstraZeneca-sponsored phase II clinical trial B Glass, L Dillon, G Chhor, S Hoffman, V Chinnaobireddy, SC Gullapally, ... CLINICAL CANCER RESEARCH 27 (5), 2021 | | 2021 |
