Biraja Ghoshal

According to our database, Biraja Ghoshal authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction.

Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2022

On Calibrated Model Uncertainty in Deep Learning.

Biraja Ghoshal, Allan Tucker

CoRR, 2022

Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading.

Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection.

Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong

Comput. Intell., 2021

Hyperspherical Weight Uncertainty in Neural Networks.

Biraja Ghoshal, Allan Tucker

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection.

Biraja Ghoshal, Allan Tucker

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Bayesian Deep Active Learning for Medical Image Analysis.

Biraja Ghoshal, Stephen Swift, Allan Tucker

Proceedings of the Artificial Intelligence in Medicine, 2021

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

Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

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

Biraja Ghoshal, Allan Tucker

CoRR, 2020

Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics.

Biraja Ghoshal, Cecilia Lindskog, Allan Tucker

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data.

Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019