21 citations · 34 across the 35 of their papers we have counts for
5 papers · 1 filter
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Nikita Malik, Pratinav Seth, Neeraj Kumar Singh +2
Deep learning has driven significant advances in medical image analysis, yet its adoption in clinical practice remains constrained by the large size and lack of transparency in mod…
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth, Michelle Lin, Brefo Dwamena Yaw +3
Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are u…
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems
Pratinav Seth, Akshat Bhandari, Kumud Lakara
Deep learning models frequently suffer from various problems such as class imbalance and lack of robustness to distribution shift. It is often difficult to find data suitable for t…
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
Pratinav Seth, Adil Khan, Ananya Gupta +2
Deep Ensemble Convolutional Neural Networks has become a methodology of choice for analyzing medical images with a diagnostic performance comparable to a physician, including the d…
Performance evaluation of deep segmentation models for Contrails detection
Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal +2
Contrails, short for condensation trails, are line-shaped ice clouds produced by aircraft engine exhaust when they fly through cold and humid air. They generate a greenhouse effect…