Folgen
Nandita Bhaskhar
Titel
Zitiert von
Zitiert von
Jahr
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
922017
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
182024
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
162021
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
152023
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
142023
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
52023
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
42023
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
42021
Inaccurate supervision of neural networks with incorrect labels: Application to epilepsy
F Dubost, E Hong, DY Fu, N Bhaskhar, S Tang, K Saab, J Dunnmon, ...
arXiv e-prints, pp. arXiv–2011, 2020
22020
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
12022
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
12021
TIME-LAPSE: Learning to say “I don't know” through spatio-temporal uncertainty scoring
N Bhaskhar, D Rubin, C Lee-Messer
12021
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
12016
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–19