activity
20202026
most citedEstimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

349 citations · 355 across the 6 of their papers we have counts for

collaborators

6 papers

cs.ET2026

The Quantum Cliff: A Critical Proton Tunneling Threshold Determines Clinical Severity in RPE65-Mediated Retinal Disease

Biraja Ghoshal, William Woof, Bhargab Ghoshal +1

Predicting clinical severity from genotype remains a fundamental challenge in molecular medicine, particularly for enzymes whose function depends on sub-atomic-scale geometry. Muta…

q-bio.QM2026

Quantum Simulation of Protein Fragment Electronic Structure Using Moment-based Adaptive Variational Quantum Algorithms

Biraja Ghoshal

Background: Understanding electronic interactions in protein active sites is fundamental to drug discovery and enzyme engineering, but remains computationally challenging due to ex…

eess.IV2022

Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading

Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker

Pancreatic cancers have one of the worst prognoses compared to other cancers, as they are diagnosed when cancer has progressed towards its latter stages. The current manual histolo…

cs.LG2022★ 6 cited

On Calibrated Model Uncertainty in Deep Learning

Biraja Ghoshal, Allan Tucker

Estimated uncertainty by approximate posteriors in Bayesian neural networks are prone to miscalibration, which leads to overconfident predictions in critical tasks that have a clea…

q-bio.QM2021

Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development

Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift +1

B-cell epitopes play a key role in stimulating B-cells, triggering the primary immune response which results in antibody production as well as the establishment of long-term immuni…

eess.IV2020★ 349 cited

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

Biraja Ghoshal, Allan Tucker

Deep Learning has achieved state of the art performance in medical imaging. However, these methods for disease detection focus exclusively on improving the accuracy of classificati…