Publications
* indicates equal contributions
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Medical Imaging with Deep Learning (MIDL) , 2023
Selected for Oral Presentation, Top 5%. Automatic accept to Medical Image Analysis journal!
paper / preprint / code / OpenReview / news / TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
IEEE Transactions on Artificial Intelligence (IEEE-TAI) , 2023
paper / preprint / code / Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
Bioengineering, Special Issue on AI in MRI: Frontiers and Applications , 2023
paper / pdf / preprint / Clinical Outcome Prediction using Observational Supervision with Electronic Health Records and Audit Logs
Preprint. Under Submission , 2023
RaLES: a Benchmark for Radiology Language Evaluations
Preprint. Under Submission , 2023
Trust Me Not: Trust Scoring for Continuous Model Monitoring
Neural Information Processing Systems (NeurIPS) WiML Workshop , 2022
NeurIPS 2022 WiML travel grant awardee, Top 20% of submissions
poster / When can you trust your model’s predictions? A Mistrust Scoring Framework for inference
BayLearn , 2022
Selected for Oral talk (5% acceptance rate)
slides / twitter thread / website / Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2023
paper / preprint / Automatic Identification and Avoidance of Axon Bundle Activation for Epiretinal Prosthesis
Transactions on Neural Systems & Rehabilitation Engineering (TNSRE) , 2021
paper / BAP-1 Altered Versus BAP-1 Wildtype Uveal Melanomas: A Digital Morphometric Comparison of Nucleolar Features
The Assosciation for Research in Vision and Ophthalmology (ARVO) Annual Meeting , 2022
Won 3rd place at the International Congress of Young Medical Scientists
poster / A Digital Morphometric Comparison of Nucleolar Features in BAP1-Mutant Versus BAP1-Wildtype Uveal Melanomas
The United States and Canadian Academy of Pathology (USCAP) Annual Meeting , 2022
poster / Knowing When You Don't Know: Predictive Uncertainty Measures for Seizure Detection
Society for Imaging Informatics in Medicine (SIIM) Annual Meeting , 2021
extended abstract / Knowing When You Don't Know: Predictive Uncertainty for Seizure Detection
American Epilepsy Society (AES) Annual Meeting , 2020
poster / Knowing When You Don't Know: Predictive Uncertainty for Seizure Detection
IIBIS-AIMI Annual Meeting , 2020
Won 3rd place for the Best Poster Award and a cash prize of 100 USD
Establishing digital phenotypes for mental health using artificial intelligence
Frontier of AI-Assisted Care Scientific Symposium , 2019
poster / Selective activation of ganglion cells without axon bundles using epiretinal electrical stimulation
Journal of Neurophysiology , 2017
Awarded Distinctionship in Scholarship by the American Physiological Society (APSselect certificate)
paper / certificate / Identification and avoidance of axon bundle activation in epiretinal prosthesis
Bio-X Annual IIP Seed Grant Symposium , 2016
Won the Best Poster Award from over 200 entries and a cash prize of 1000 USD
poster / Engineering a Bidirectional Implantable Neural Prosthesis
Qualcomm Innovation Fellowship , 2018
One of the 30 finalist teams from amongst over 200
poster / When 2D Materials and MEMS meet - New generation Thermionic Energy Conversion
Annual SystemX Conference, , Spring 2015
poster / Design of optimized MAC Unit using Integrated Vedic Multiplier
International conference on Microelectronic Devices Circuits and Systems (ICMDCS) , 2017
paper / Design of an Optimized Low Power Vedic Multiplier (MAC) Unit for Digital Signal Processing Applications
B.Tech Final Year Thesis, IIIT , 2014
Awarded the Institute Gold Medal and the Best Project Award
thesis /