activity
20202026
most citedOn the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI

53 citations · 58 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation

Hanuman Verma, Akshansh Gupta, Pranabesh Maji +2

Accurate brain image segmentation, particularly for distinguishing various tissues from magnetic resonance imaging (MRI) images, plays a pivotal role in finding the neurological di…

eess.IV2026

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation

Hanuman Verma, Kiho Im, Akshansh Gupta +1

Accurate segmentation of brain images from magnetic resonance imaging (MRI) scans plays a pivotal role in brain image analysis and the diagnosis of neurological disorders. Deep lea…

q-bio.NC2023

Deep Learning Architecture for Motor Imaged Words

Vimal W, Akshansh Gupta

The notion of a Brain-Computer Interface system is the acquisition of signals from the brain, processing them, and translating them into commands. The study concentrated on a speci…

cs.CV2023

Semi-supervised Contrastive Regression for Estimation of Eye Gaze

Somsukla Maiti, Akshansh Gupta

With the escalated demand of human-machine interfaces for intelligent systems, development of gaze controlled system have become a necessity. Gaze, being the non-intrusive form of…

cs.CV2023

LocalEyenet: Deep Attention framework for Localization of Eyes

Somsukla Maiti, Akshansh Gupta

Development of human machine interface has become a necessity for modern day machines to catalyze more autonomy and more efficiency. Gaze driven human intervention is an effective…

cs.HC2021★ 53 cited

On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI

Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar +4

In this paper classification of mental task-root Brain-Computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost inte…

q-bio.GN2021★ 2 cited

Survival prediction of head and neck squamous cell carcinoma using machine learning models

Saurav Mandal, Akshansh Gupta, Waribam Pratibha Chanu

Head and Neck Squamous Cell Carcinoma (HNSCC) is one of cancer type that is most distressing leading to acute pain, effecting speech and primary survival functions such as swallowi…

cs.LG2020★ 3 cited

Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention

Hanuman Verma, Akshansh Gupta, Utkarsh Niranjan

To combat the coronavirus disease 2019 (COVID-19) pandemic, the world has vaccination, plasma therapy, herd immunity, and epidemiological interventions as few possible options. The…