| On optimization methods for deep learning QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng Proceedings of the 28th international conference on international conference …, 2011 | 1320 | 2011 |
| 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 | 150 | 2021 |
| 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 | 20 | 2022 |
| Incremental utterance decoder combination for efficient and accurate decoding S Chang, M Levit, A Lahiri, B Oguz, B Dumoulin US Patent 9,922,654, 2018 | 14 | 2018 |
| Incremental utterance decoder combination for efficient and accurate decoding S Chang, M Levit, A Lahiri, B Oguz, B Dumoulin US Patent 9,552,817, 2017 | 10 | 2017 |
| 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 |
| Artificial intelligence-powered retrospective analysis of PD-L1 expression in nivolumab trials of advanced non-small cell lung cancer V Baxi, A Beck, D Pandya, G Lee, C Hedvat, A Khosla, D Wang, H Elliott, ... Journal for Immunotherapy of Cancer 7, 2019 | 4 | 2019 |
| P730 An empirical framework for validating artificial intelligence-derived PD-L1 positivity predictions applied to urothelial carcinoma A Beck, B Glass, H Elliott, JK Kerner, A Khosla, A Lahiri, H Pokkalla, ... J Immunother Cancer 7, 283, 2019 | 1 | 2019 |
| Discriminative training of context-dependent language model scaling factors and interpolation weights S Chang, A Lahiri, I Alphonso, B Oğuz, M Levit, B Dumoulin 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 1 | 2015 |
| 1282 Concordance analysis of AI-powered CD8 quantification and automated CD8 topology with manual histopathological assessment across seven solid tumor types M Guramare, N Agrawal, G Lee, A Stanford-Moore, A Lahiri, D Meghwal, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
| An empirical framework for validating artificial intelligence-derived PD-L1 positivity predictions using samples from patients with urothelial carcinoma A Beck, B Glass, H Elliott, J Kerner, A Khosla, A Lahiri, H Pokkalla, ... JOURNAL FOR IMMUNOTHERAPY OF CANCER 7, 2019 | | 2019 |
