User profiles for "author:Jyotirmoy Chatterjee"

Jyotirmoy Chatterjee

- Verified email at smst.iitkgp.ernet.in - Cited by 4584

Jyotirmoy Chatterjee

- Verified email at imec.be - Cited by 372

[HTML][HTML] Coronavirus disease 2019 (COVID-19) outbreak: some serious consequences with urban and rural water cycle

GD Bhowmick, D Dhar, D Nath, MM Ghangrekar… - NPJ Clean …, 2020 - nature.com
The COVID-19 outbreak due to SARS-CoV-2 has raised several concerns for its high
transmission rate and unavailability of any treatment to date. Although major routes of its …

ROS and oncogenesis with special reference to EMT and stemness

R Chatterjee, J Chatterjee - European journal of cell biology, 2020 - Elsevier
Elevation of the level of intracellular reactive oxygen species (ROS) has immense
implication in the biological system. On the one hand, ROS promote the signaling cascades …

Efficient extraction strategies of tea (Camellia sinensis) biomolecules

S Banerjee, J Chatterjee - Journal of food science and technology, 2015 - Springer
Tea is a popular daily beverage worldwide. Modulation and modifications of its basic
components like catechins, alkaloids, proteins and carbohydrate during fermentation or …

Brightness preserving dynamic fuzzy histogram equalization

D Sheet, H Garud, A Suveer… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper proposes a novel modification of the brightness preserving dynamic histogram
equalization technique to improve its brightness preserving and contrast enhancement …

Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration

SPK Karri, D Chakraborty, J Chatterjee - Biomedical optics express, 2017 - opg.optica.org
We present an algorithm for identifying retinal pathologies given retinal optical coherence
tomography (OCT) images. Our approach fine-tunes a pre-trained convolutional neural …

Automated oral cancer identification using histopathological images: a hybrid feature extraction paradigm

MMR Krishnan, V Venkatraghavan, UR Acharya, M Pal… - Micron, 2012 - Elsevier
Oral cancer (OC) is the sixth most common cancer in the world. In India it is the most
common malignant neoplasm. Histopathological images have widely been used in the …

Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification

K Das, S Conjeti, AG Roy, J Chatterjee… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Whole slide histopathology images are the digitised version of physical slides that are
acquired by stitching multiple overlapping image patches acquired at different optical …

Detection of breast cancer from whole slide histopathological images using deep multiple instance CNN

K Das, S Conjeti, J Chatterjee, D Sheet - IEEE Access, 2020 - ieeexplore.ieee.org
Histopathological Whole Slide Imaging (WSI) has become a standard in the detection of
breast cancer. Automated image analysis methods attempt to reduce the workload from the …

[HTML][HTML] Manipulating magnetoelectric energy landscape in multiferroics

YL Huang, D Nikonov, C Addiego… - Nature …, 2020 - nature.com
Magnetoelectric coupling at room temperature in multiferroic materials, such as BiFeO3, is
one of the leading candidates to develop low-power spintronics and emerging memory …

Automated screening of polycystic ovary syndrome using machine learning techniques

P Mehrotra, J Chatterjee, C Chakraborty… - 2011 Annual IEEE …, 2011 - ieeexplore.ieee.org
Polycystic Ovary Syndrome (PCOS) is one of the most common type of endocrine disorder in
reproductive age women. This may result in infertility and anovulation. The diagnostic …