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Biraja Ghoshal

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

4

Active years

2019–2024

Best venue rank

B

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2024MICCAIMaking 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
2021AIMEUncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development.Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
2021AIMEBayesian Deep Active Learning for Medical Image Analysis.Biraja Ghoshal, Stephen Swift, Allan Tucker
2021CBMSOn Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection.Biraja Ghoshal, Allan Tucker
2021IDAHyperspherical Weight Uncertainty in Neural Networks.Biraja Ghoshal, Allan Tucker
2020IDAEstimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics.Biraja Ghoshal, Cecilia Lindskog, Allan Tucker
2019CBMSEstimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data.Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong