| Activation of ganglion cells and axon bundles using epiretinal electrical stimulation LE Grosberg, K Ganesan, GA Goetz, SS Madugula, N Bhaskhar, V Fan, ... Journal of neurophysiology 118 (3), 1457-1471, 2017 | 76 | 2017 |
| Automatic identification of axon bundle activation for epiretinal prosthesis P Tandon, N Bhaskhar, N Shah, S Madugula, L Grosberg, VH Fan, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2496-2502, 2021 | 12 | 2021 |
| Exploring image augmentations for siamese representation learning with chest x-rays R Van der Sluijs, N Bhaskhar, D Rubin, C Langlotz, AS Chaudhari Medical Imaging with Deep Learning, 444-467, 2024 | 11 | 2024 |
| Improving data-efficiency and robustness of medical imaging segmentation using inpainting-based self-supervised learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... Bioengineering 10 (2), 207, 2023 | 8 | 2023 |
| Automatic identification and avoidance of axon bundle activation for epiretinal prosthesis P Tandon, N Bhaskhar, N Shah, S Madugula, L Grosberg, VH Fan, ... bioRxiv, 2021.02. 03.429317, 2021 | 4 | 2021 |
| Clinical outcome prediction using observational supervision with electronic health records and audit logs N Bhaskhar, W Ip, JH Chen, DL Rubin Journal of Biomedical Informatics 147, 104522, 2023 | 3 | 2023 |
| An explainable and actionable mistrust scoring framework for model monitoring N Bhaskhar, DL Rubin, C Lee-Messer IEEE Transactions on Artificial Intelligence 5 (4), 1473-1485, 2023 | 3 | 2023 |
| RaLEs: a benchmark for radiology language evaluations J Zambrano Chaves, N Bhaskhar, M Attias, JB Delbrouck, D Rubin, ... Advances in Neural Information Processing Systems 36, 74429-74454, 2023 | 2 | 2023 |
| TIME-LAPSE: Learning to say “I don't know” through spatio-temporal uncertainty scoring N Bhaskhar, D Rubin, C Lee-Messer | 1 | 2021 |
| Selective activation of ganglion cells without axon bundles using epiretinal electrical stimulation LE Grosberg, K Ganesan, GA Goetz, S Madugula, N Bhaskhar, V Fan, ... bioRxiv, 075283, 2016 | 1 | 2016 |
| Robust, Data-Efficient, and Trustworthy Medical AI N Bhaskhar Stanford University, 2023 | | 2023 |
| Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing F Dubost, E Hong, S Tang, N Bhaskhar, C Lee-Messer, D Rubin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | | 2023 |
| Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... arXiv preprint arXiv:2210.07936, 2022 | | 2022 |
| Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels F Dubost, E Hong, M Pike, S Sharma, S Tang, N Bhaskhar, C Lee-Messer, ... arXiv preprint arXiv:2106.02100, 2021 | | 2021 |
| Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. F Dubost, E Hong, DY Fu, N Bhaskhar, S Tang, K Saab, DL Rubin, ... CoRR, 2020 | | 2020 |
| Automatic Identification and Avoidance of Axon Bundle Activation for Epiretinal Prosthesis SM Pulkit Tandon, Nandita Bhaskhar, Karthik Ganesan, Lauren Grosberg, Pawel ... The Eye and The Chip, 2017 | | 2017 |
| When 2D material and MEMS meet-new generation thermionic energy conversion H Yuan, N Bhaskhar, I Bargatin, J Provine, NA Melsoh, PA Pianetta, ... | | |
| Encoding the natural response of primate retina N Bhaskhar, AS Yalamarthy, A Arora | | |
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