activity
20162023
collaborators

5 papers

eess.IV2023

Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5

Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha +3

Structural MRI(S-MRI) is one of the most versatile imaging modality that revolutionized the anatomical study of brain in past decades. The corpus callosum (CC) is the principal whi…

eess.IV2021

SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation

Ammu R, Neelam Sinha

Automatic image segmentation is a critical component of medical image analysis, and hence quantifying segmentation performance is crucial. Challenges in medical image segmentation…

cs.CV2021

Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks

Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha

Success of deep neural networks in diverse tasks across domains of computer vision, speech recognition and natural language processing, has necessitated understanding the dynamics…

cs.CV2021

Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks

Sunil Kumar Vengalil, Neelam Sinha

Deep neural networks have become the default choice for many applications like image and video recognition, segmentation and other image and video related tasks.However, a critical…

cs.CV2016

Cognitive state classification using transformed fMRI data

Hariharan Ramasangu, Neelam Sinha

One approach, for understanding human brain functioning, is to analyze the changes in the brain while performing cognitive tasks. Towards this, Functional Magnetic Resonance (fMR)…