Nandita Bhaskhar

According to our database, Nandita Bhaskhar authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring.

Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

IEEE Trans. Artif. Intell., April, 2024

2023

Clinical outcome prediction using observational supervision with electronic health records and audit logs.

Nandita Bhaskhar, Wui Ip, Jonathan H. Chen, Daniel L. Rubin

J. Biomed. Informatics, November, 2023

Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing.

Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

RaLEs: a Benchmark for Radiology Language Evaluations.

Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays.

Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning.

Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Beliz Gunel, Garry E. Gold, Brian A. Hargreaves, Leon Lenchik, Robert Boutin, Akshay S. Chaudhari

CoRR, 2022

TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring.

Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

CoRR, 2022

2021

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels.

Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin

CoRR, 2021

2020

Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.

Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer

CoRR, 2020