Ministry of Education
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Mr Abhishek Kesarwani

vidwan id: 444929
Male

Assistant Professor, Department of Artificial Intelligence and Machine Learning
Manipal University, Jaipur

Orchid Icon 0000-0003-3971-6906 Google Scholar Icon 57204616267 Google Scholar Icon PSS-1ZEAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 111
h-index 6

CrossRef

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Citations 22
h-index 2
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Professional Recognition

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Community & Membership

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Bio

Image Processing, Deep Learning, Computer Vision, Biomedical and Healthcare Systems

Personal Details

  • Male
  • Assistant Professor , Manipal University, Jaipur
  • Department of Artificial Intelligence and Machine Learning, Manipal University Jaipur
MTECH
National Institute of Technology Rourkela 2018
Assistant Professor Sep 2023 – Present
Manipal University, Jaipur | Department of Artificial Intelligence and Machine Learning

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Co-Authors (10)

Anupam

Dr Anupam Basu

Indian Institute of Technology Kharagpur

Anupam

Prof Anupam Basu

National Institute of Technology Durgapur

Bibhash

Dr Bibhash Sen

National Institute of Technology Durgapur

Dakshina Ranjan

Dr Dakshina Ranjan Kisku

National Institute of Technology Durgapur

ABHISHEK

Mr ABHISHEK KESARWANI

N/A

Mamata Dalui

Dr Mamata Dalui Chakraborty

National Institute of Technology Durgapur

PABITRA

Dr PABITRA KHILAR

National Institute of Technology Rourkela

Rabindra Kumar

Prof Rabindra Kumar Behera

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Santanu Kumar

Prof Santanu Kumar Rath

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Suchismita

Prof Suchismita Roy

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Scholarly Work

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Scholarly Publications

Non-invasive anaemia detection based on palm pallor video using tree-structured 3D CNN and vision transformer models

Open Access
Article
Year: 2025. Volume: 37 , Issue: 6 , Pages: 957-985 .
Authors: Kesarwani A.;Das S.;Kisku D.R.;Dalui M.
DOI 10.1080/0952813X.2023.2301401
2

Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection

Open Access
journal-article
Biomedical Signal Processing and Control. Year: 2024.
Authors:

Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection

Open Access
Article
Biomedical Signal Processing and Control. Year: 2024. Volume: 88 .
Authors: Kesarwani A.;Das S.;Kisku D.R.;Dalui M.
DOI 10.1016/j.bspc.2023.105592
9

An Efficient, Cost-effective and Reliable Non-invasive Anaemia Detection Method by Analysing Palm Pallor

Open Access
Conference Paper
Year: 2024.
Authors: Naskar S.;Kesarwani A.;Das S.;Dalui M.
DOI 10.1109/ASSIC60049.2024.10507973
2

Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor

Open Access
Article
Biomedical Signal Processing and Control. Year: 2023. Volume: 85 .
Authors: Das S.;Kesarwani A.;Dalui M.;Kisku D.R.;Sen B.;Roy S.;Basu A.
DOI 10.1016/j.bspc.2023.104959
15

Development of trust based access control models using fuzzy logic in cloud computing

Open Access
Article
Journal of King Saud University Computer and Information Sciences. Year: 2022. Volume: 34 , Issue: 5 , Pages: 1958-1967 .
Authors: Kesarwani A.;Khilar P.M.
DOI 10.1016/j.jksuci.2019.11.001
20 41

Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach

Open Access
Article
Biomedical Signal Processing and Control. Year: 2022. Volume: 79 .
Authors: Kesarwani A.;Das S.;Dalui M.;Kisku D.R.;Sen B.;Roy S.;Basu A.
DOI 10.1016/j.bspc.2022.104045
13

Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction

Open Access
Conference Paper
Year: 2022. Volume: 13393 LNCS , Pages: 811-824 .
Authors: Das S.;Kesarwani A.;Kisku D.R.;Dalui M.
DOI 10.1007/978-3-031-13870-6_66
9