| A neural circuit model for human sensorimotor timing SW Egger, NM Le, M Jazayeri Nature communications 11 (1), 3933, 2020 | 38 | 2020 |
| Cortical-subcortical interactions in goal-directed behavior KG Cruz, YN Leow, NM Le, E Adam, R Huda, M Sur Physiological reviews 103 (1), 347-389, 2023 | 26 | 2023 |
| Mixtures of strategies underlie rodent behavior during reversal learning NM Le, M Yildirim, Y Wang, H Sugihara, M Jazayeri, M Sur PLOS Computational Biology 19 (9), e1011430, 2023 | 13 | 2023 |
| Quantitative third-harmonic generation imaging of mouse visual cortex areas reveals correlations between functional maps and structural substrates M Yildirim, M Hu, NM Le, H Sugihara, PTC So, M Sur Biomedical Optics Express 11 (10), 5650-5673, 2020 | 10 | 2020 |
| Mixture of learning strategies underlies rodent behavior in dynamic foraging NM Le, M Yildirim, Y Wang, H Sugihara, M Jazayeri, M Sur bioRxiv, 2022.03. 14.484338, 2022 | 5 | 2022 |
| Improved statistical benchmarking of digital pathology models using pairwise frames evaluation Y Gerardin, J Shamshoian, J Shen, N Le, J Prezioso, J Abel, I Finberg, ... arXiv preprint arXiv:2306.04709, 2023 | 3 | 2023 |
| Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities N Le, C Shen, C Shah, B Martin, D Shenker, H Padigela, J Hipp, S Grullon, ... arXiv preprint arXiv:2407.10785, 2024 | | 2024 |
| Correlation of immune phenotypes derived from H&E-stained whole slide images with prognosis and response to checkpoint inhibitors in NSCLC. N Le, LA Dillon, C Shen, M Bronnimann, J Zhang, J Hipp, T Nguyen, ... Journal of Clinical Oncology 42 (16_suppl), 8539-8539, 2024 | | 2024 |
| Abstract PO1-07-01: Artificial intelligence-based prediction of Oncotype DX Score from whole slide images using human-interpretable features and breast biomarkers N Le, J Van Arnam, C Kirkup, Y Gerardin, M Drage, N Khaitan, A Sharma, ... Cancer Research 84 (9_Supplement), PO1-07-01-PO1-07-01, 2024 | | 2024 |
| Unsupervised detection of stromal phenotypes with distinct fibrogenic and inflamed properties in NSCLC N Patel, N Le, T Nguyen, F Najdawi, S Srinivasan, A Stanford-Moore, ... Cancer Research 84 (6_Supplement), 4912-4912, 2024 | | 2024 |
| ML quantification of tumor-Infiltrating lymphocytes distinguishes immune-phenotypes and reveals phenotypic heterogeneity N Le, B Rahsepar, J Hipp, J Conway, Y Gerardin, E Krause, C Shen, ... Cancer Research 84 (6_Supplement), 905-905, 2024 | | 2024 |
| 122 Quantification of tumor infiltrating lymphocytes (TILs) from pathology slides reflects molecular immune phenotypes C Shen, S Nofallah, J Conway, C Parmar, MG Drage, F Najdawi, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 110 Deep learning models identify key tumor microenvironment features associated with genetic signatures of UV mutagenesis and alkylating agent treatment in melanoma S Nofallah, DT Sanghavi, S Gupta, C Shen, N Le, L Yu, B Rahsepar, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| Behavioral Strategies and Neural Mechanisms of Dynamic Foraging NM Le Massachusetts Institute of Technology, 2022 | | 2022 |
