| An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual Histology C McNeil, PF Wong, N Sridhar, Y Wang, C Santori, CH Wu, A Homyk, ... Modern Pathology 37 (2), 100377, 2024 | 5 | 2024 |
| Diffusion models for generative histopathology N Sridhar, M Elad, C McNeil, E Rivlin, D Freedman International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| THU-284 Prediction of MASH features from liver biopsy images using a pretrained self-supervised learning model Y Wang, S Vyawahare, C McNeil, J Loo, M Robbins, R Goldenberg Journal of Hepatology 80, S592, 2024 | | 2024 |
| Predicting Generalization of AI Colonoscopy Models to Unseen Data J Shor, C McNeil, Y Intrator, JR Ledsam, H Yamano, D Tsurumaru, ... arXiv preprint arXiv:2403.09920, 2024 | | 2024 |
| Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence Applied to Immuno-Oncology Biomarkers in Lung Cancer J Loo, M Robbins, C McNeil, T Yoshitake, C Santori, C Shan, ... medRxiv, 2024.06. 12.24308841, 2024 | | 2024 |
| Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer PF Wong, C McNeil, Y Wang, J Paparian, C Santori, M Gutierrez, ... medRxiv, 2024.03. 27.24304447, 2024 | | 2024 |
| AI-enabled virtual hematoxylin and eosin and Masson’s trichrome staining for non-alcoholic fatty liver disease activity scoring from single unstained slide C McNeil, PF Wong, N Sridhar, Y Wang, C Santori, CH Wu, A Homyk, ... Journal of Hepatology 78, S671-S672, 2023 | | 2023 |
| An end-to-end platform for digital pathology using hyperspectral autofluorescence microscopy and deep learning based virtual histology N Sridhar, P Cimermancic, C McNeil, PF Wong, Y Wang, C Santori, C Wu, ... | | 2023 |
| Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer M Robbins, J Loo, S Vyawahare, Y Wang, C Mcneil, S Rao, PF Wong, ... MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL), 0 | | |
| Prediction of MASH features from liver biopsy images using a pre-trained self-supervised learning model Y Wang, S Vyawahare, C McNeil, J Loo, M Robbins, R Goldenberg | | |
Niranjan SridharGoogle Inc.在 google.com 的电子邮件经过验证
