3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation
Hanuman Verma, Kiho Im, Pranabesh Maji +1
Accurate segmentation of MRI brain images is essential for image analysis, diagnosis of neuro-logical disorders and medical image computing. In the deep learning approach, the conv…
Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India
Hanuman Verma, Saurav Mandal, Akshansh Gupta
To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are in search of new approaches to predict the COVID-19 outbreak dynamic trends that may slow do…
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…