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Vrishab Krishna
Vrishab Krishna
Stanford University | Valar Labs
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Multimodal biometric authentication for VR/AR using EEG and eye tracking
V Krishna, Y Ding, A Xu, T Höllerer
Adjunct of the 2019 International Conference on Multimodal Interaction, 1-5, 2019
222019
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer
V Nimgaonkar, V Krishna, V Krishna, E Tiu, A Joshi, D Vrabac, ...
Cell Reports Medicine 4 (4), 2023
152023
Application of deep learning and image processing analysis of photographs for amblyopia screening
K Murali, V Krishna, V Krishna, B Kumari
Indian Journal of Ophthalmology 68 (7), 1407-1410, 2020
152020
Effectiveness of Kanna photoscreener in detecting amblyopia risk factors
K Murali, V Krishna, V Krishna, B Kumari, SR Murthy, C Vidhya, P Shah
Indian Journal of Ophthalmology 69 (8), 2054-2049, 2021
92021
Techniques for identifying blepharoptosis from an image
V Krishna, V Krishna
US Patent 10,580,133, 2020
72020
Development and validation of RP‐HPLC for assay of lacosamide injection
N Jayasimha, VR Krishna, V Sandeep, ESK Goud
World Journal of Pharmacy and Pharmaceutical Sciences 4 (02), 1067-1074, 2015
62015
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
V Shankar, X Yang, V Krishna, B Tan, O Silva, R Rojansky, A Ng, ...
Machine Learning for Health (ML4H), 528-558, 2023
42023
Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.
V Krishna, V Nimgaonkar, E Tiu, V Krishna, H Bhambhvani, S Cook, ...
Journal of Clinical Oncology 40 (16_suppl), e16295-e16295, 2022
22022
Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center …
Y Lotan, V Krishna, WM Abuzeid, B Launer, SS Chang, V Krishna, ...
J Urol, 101097JU0000000000004278, 2024
12024
Abstract A043: Validation of an artificial intelligence derived histological biomarker for gemcitabine response in resected pancreatic ductal adenocarcinoma (PDAC)
V Krishna, V Krishna, E Tiu, V Nimgaonkar, D Vrabac, K Smith, A Joshi, ...
Cancer Research 82 (22_Supplement), A043-A043, 2022
12022
1773P Prediction of neoadjuvant chemotherapy response in muscle-invasive bladder cancer: A machine learning approach
E Shkolyar, H Bhambhvani, E Tiu, V Krishna, V Nimgaonkar, R Krishnan, ...
Annals of Oncology 33, S1348, 2022
12022
Histological changes in the trachea and lung of the foetal goat.
VR Krishna, GP Tiwari, KC Vaish
11982
PD27-12 DEVELOPMENT AND VALIDATION OF GENERALIZABLE INTERPRETABLE AI BIOMARKERS TO PREDICT CLINICAL OUTCOMES IN BCG-TREATED PATIENTS WITH NON-MUSCLE INVASIVE BLADDER CANCER
Y Lotan, JB Shah, V Krishna, B Launer, V Krishna, S Shingi, J Gordetsky, ...
Journal of Urology 211 (5S), e555, 2024
2024
Predicting response to intravesical BCG in high-risk non-muscle invasive bladder cancer using an artificial intelligence-powered pathology assay: development and validation in …
Y Lotan, V Krishna, WM Abuzeid, B Launer, SS Chang, V Krishna, ...
Journal of Urology, 10.1097, 2024
2024
AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and …
V Krishna, GP Sonpavde, S Gupta, BL Maughan, N Agarwal, M Eckstein, ...
Journal of Clinical Oncology 41 (16_suppl), e16566-e16566, 2023
2023
Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC).
V Krishna, E Tiu, V Krishna, D Vrabac, K Shah, W Abuzeid, K Smith, ...
Journal of Clinical Oncology 41 (4_suppl), 743-743, 2023
2023
43/# 512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade …
R Krishnan, E Tiu, V Krishna, V Nimgaonkar, H Bhambhvani, ...
International Journal of Gynecologic Cancer 32 (Suppl 3), 2022
2022
44/# 219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform
E Tiu, V Krishna, V Nimgaonkar, R Krishnan, H Bhambhvani, ...
International Journal of Gynecologic Cancer 32 (Suppl 3), 2022
2022
Validation of an artificial intelligence derived histological biomarker for gemcitabine response in resected pancreatic ductal adenocarcinoma (PDAC)
V Krishna, V Krishna, E Tiu, V Nimgaonkar, D Vrabac, K Smith, A Joshi, ...
CANCER RESEARCH 82 (22), 28-29, 2022
2022
Generalizing Abundancy Index to Gaussian Integers
V Krishna
arXiv preprint arXiv:2004.13487, 2020
2020
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