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Biraja Ghoshal
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2020 – today
- 2024
- [c8]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:
Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. UNSURE@MICCAI 2024: 47-58 - 2022
- [c7]Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker:
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. MIUA 2022: 565-577 - [i4]Biraja Ghoshal, Allan Tucker:
On Calibrated Model Uncertainty in Deep Learning. CoRR abs/2206.07795 (2022) - [i3]Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker:
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. CoRR abs/2206.08787 (2022) - 2021
- [j1]Biraja Ghoshal
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection. Comput. Intell. 37(2): 701-734 (2021) - [c6]Biraja Ghoshal, Stephen Swift, Allan Tucker:
Bayesian Deep Active Learning for Medical Image Analysis. AIME 2021: 36-42 - [c5]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME 2021: 361-366 - [c4]Biraja Ghoshal, Allan Tucker:
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. CBMS 2021: 503-509 - [c3]Biraja Ghoshal, Allan Tucker:
Hyperspherical Weight Uncertainty in Neural Networks. IDA 2021: 3-11 - [i2]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR abs/2103.11214 (2021) - 2020
- [c2]Biraja Ghoshal, Cecilia Lindskog, Allan Tucker:
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. IDA 2020: 223-234 - [i1]Biraja Ghoshal, Allan Tucker:
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. CoRR abs/2003.10769 (2020)
2010 – 2019
- 2019
- [c1]Biraja Ghoshal, Allan Tucker, Bal Sanghera
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data. CBMS 2019: 318-324
Coauthor Index
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