Darpan Sanghavi
Darpan Sanghavi
Other namesDarpan T Sanghavi
Sr. Machine Learning Engineer, PathAI
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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