46 citations · 65 across the 3 of their papers we have counts for
3 papers
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony +2
The increasing energy consumption and carbon footprint of deep learning (DL) due to growing compute requirements has become a cause of concern. In this work, we focus on the carbon…
An algorithm-based multiple detection influence measure for high dimensional regression using expectile
Amadou Barry, Nikhil Bhagwat, Bratislav Misic +2
The identification of influential observations is an important part of data analysis that can prevent erroneous conclusions drawn from biased estimators. However, in high dimension…
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat +2
Medical imaging machine learning algorithms are usually evaluated on a single dataset. Although training and testing are performed on different subsets of the dataset, models built…