activity
20182022
most citedDeep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI

41 citations · 51 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022

Granular Generalized Variable Precision Rough Sets and Rational Approximations

A Mani, Sushmita Mitra

Rational approximations are introduced and studied in granular graded rough sets and generalizations thereof by the first author in recent research papers. The concept of rationali…

q-bio.QM2021★ 1 cited

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall

Prediction of Overall Survival (OS) of brain cancer patients from multi-modal MRI is a challenging field of research. Most of the existing literature on survival prediction is base…

eess.IV2020

Deep Learning for Screening COVID-19 using Chest X-Ray Images

Sanhita Basu, Sushmita Mitra, Nilanjan Saha

With the ever increasing demand for screening millions of prospective "novel coronavirus" or COVID-19 cases, and due to the emergence of high false negatives in the commonly used P…

cs.CV2019★ 41 cited

Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI

Subhashis Banerjee, Sushmita Mitra, Francesco Masulli +1

Glioma constitutes 80% of malignant primary brain tumors and is usually classified as HGG and LGG. The LGG tumors are less aggressive, with slower growth rate as compared to HGG, a…

cs.CV2018★ 9 cited

A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks

Subhasis Banerjee, Sushmita Mitra, Anmol Sharma +1

Inspired by the success of Convolutional Neural Networks (CNN), we develop a novel Computer Aided Detection (CADe) system using CNN for Glioblastoma Multiforme (GBM) detection and…