858 citations · 860 across the 2 of their papers we have counts for
5 papers
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
Subhranil Bagchi, Deepti R. Bathula
Different categories of visual stimuli activate different responses in the human brain. These signals can be captured with EEG for utilization in applications such as Brain-Compute…
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging
Jitender Singh Virk, Deepti R. Bathula
Limited availability of annotated medical imaging data poses a challenge for deep learning algorithms. Although transfer learning minimizes this hurdle in general, knowledge transf…
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification
Apoorva Sikka, Skand Vishwanath Peri, Deepti. R. Bathula
Recent studies suggest that combined analysis of Magnetic resonance imaging~(MRI) that measures brain atrophy and positron emission tomography~(PET) that quantifies hypo-metabolism…
Dense and Diverse Capsule Networks: Making the Capsules Learn Better
Sai Samarth R Phaye, Apoorva Sikka, Abhinav Dhall +1
Past few years have witnessed exponential growth of interest in deep learning methodologies with rapidly improving accuracies and reduced computational complexity. In particular, a…