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Kishor Datta Gupta

University of Memphis, North Carolina A&T University, Lamar University

10 papers hereh-index 171.7k citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CR2
  • cs.CV2
  • cs.LG2
  • cs.NE1
affiliations
  • University of Memphis, North Carolina A&T University, Lamar University
Homepage
same name
  • Kishor Datta Gupta — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedStudy of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset

98 citations · 175 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.IV2020★ 98 cited

Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset

Md Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam +3

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19…

cs.CV2020★ 9 cited

Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks

Kishor Datta Gupta, Zahid Akhtar, Dipankar Dasgupta

Developing secure machine learning models from adversarial examples is challenging as various methods are continually being developed to generate adversarial attacks. In this work,…

cs.CV2020★ 19 cited

CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space

Anik Khan, Kishor Datta Gupta, Deepak Venugopal +1

Predicting if red blood cells (RBC) are infected with the malaria parasite is an important problem in Pathology. Recently, supervised machine learning approaches have been used for…

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