| Bindsnet: A machine learning-oriented spiking neural networks library in python H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ... Frontiers in neuroinformatics 12, 89, 2018 | 291 | 2018 |
| Unsupervised learning with self-organizing spiking neural networks H Hazan, D Saunders, DT Sanghavi, H Siegelmann, R Kozma 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 86 | 2018 |
| Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data H Hazan, DJ Saunders, DT Sanghavi, H Siegelmann, R Kozma Annals of Mathematics and Artificial Intelligence 88, 1237-1260, 2020 | 21 | 2020 |
| 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 | 1 | 2023 |
| Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types J Abel, S Jain, D Rajan, H Padigela, K Leidal, A Prakash, J Conway, ... bioRxiv, 2023.05. 15.539600, 2023 | 1 | 2023 |
| Foundation AI models predict molecular measurements of tumor purity Y Gerardin, D Shenker, J Hipp, N Harguindeguy, D Juyal, C Shah, ... Cancer Research 84 (6_Supplement), 7402-7402, 2024 | | 2024 |
| Machine learning (ML)-spatial quantification of the tumor microenvironment (TME) identifies differences associated with response to bintrafusp alfa (BA) vs pembrolizumab (PEM … J Abel, A Machl, A Gerhold-Ay, L Yu, D Sanghavi, B Trotter, N Patel, ... Cancer Research 84 (6_Supplement), 6179-6179, 2024 | | 2024 |
| 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 |
| 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 |
| 554 Artificial intelligence (AI)-powered immune phenotyping of advanced or metastatic urothelial carcinoma (aUC) clinical trial samples from hematoxylin and eosin (H&E)-stained … J Conway, L Yu, Y Belhe, S Jain, H Grote, M Lin, B Trotter, D Sanghavi, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
