Snekhalatha U (U Snekhalatha, Snekhalatha Umapathy, Umapathy Snekhalatha, Snehalatha Umapathy)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Venues

Biomedical physics & engineering express

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

Physical and engineering sciences in medicine

PloS one

SRM University

SRM University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

SRM University Jan 25 2007

India

Assistant Professor :: Biomedical Engineering

Education History

SRM University

India

PHD :: biomedical Engineering

Publications

Sowmiya S, Snekhalatha U, Omar Alhajlah, Fadiyah Almutairi, Shabnam Aslam, Ahalya R Kesavapillai
F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques. PloS one 19 (8) (2024)
Rudrani Maity, V M Raja Sankari, Snekhalatha U, Rajesh N A, Anela L Salvador
Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques. Biomedical physics & engineering express 10 (4) (2024)
Rudrani Maity, V M Raja Sankari, Snekhalatha U, Rajesh Na, Anela L Salvador
Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques. Biomedical physics & engineering express (2024)
Rudrani Maity, V M Raja Sankari, Snekhalatha U, Rajesh N A, Anela L Salvador
Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques. Biomedical physics & engineering express 10 (4) (2024)
Sowmiya S, Snekhalatha U, Omar Alhajlah, Fadiyah Almutairi, Shabnam Aslam, Ahalya R Kesavapillai
F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques. PloS one 19 (8) (2024)
Jothiraj Selvaraj, Snekhalatha U
CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract. Biomedical physics & engineering express 10 (1) (2023)
Jothiraj Selvaraj, Snekhalatha U
CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract. Biomedical physics & engineering express 10 (1) (2023)
Jothiraj Selvaraj, Snekhalatha U
CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract. Biomedical physics & engineering express 10 (1) (2023)
Jothiraj Selvaraj, Snekhalatha U
CRPU-NET: A Deep Learning Model Based Semantic Segmentation for The Detection of Colorectal Polyp in Lower Gastrointestinal Tract. Biomedical physics & engineering express (2023)
Mahima Thakur, Snekhalatha U
Multi-stage classification of Alzheimer's disease from 18 F-FDG-PET images using deep learning techniques. Physical and engineering sciences in medicine (2022)
R K Ahalya, Snekhalatha U, Palani Thanaraj Krishnan, Alex Noel Joseph Raj
Automated evaluation of rheumatoid arthritis from hand radiographs using Machine Learning and deep learning techniques. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine 236 (8) (2022)
P Vijay Sai, Thulasi Rajalakshmi, Snekhalatha U
Non-invasive thyroid detection based on electroglottogram signal using machine learning classifiers. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine 235 (10) (2021)
Kavya Ganesh, Snekhalatha U, Palani Thanaraj Krishnan
Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine 235 (10) (2021)
Palani Thanaraj Krishnan, Parvathavarthini Balasubramanian, Snekhalatha U
Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network. Physical and engineering sciences in medicine 43 (2) (2020)
Usharani Thirunavukkarasu, Snekhalatha U, Kumar Janardhanan, Ravichandran Thirunavukkarasu
A computer aided diagnostic method for the evaluation of type II diabetes mellitus in facial thermograms. Physical and engineering sciences in medicine 43 (3) (2020)
Usharani Thirunavukkarasu, Snekhalatha U, Palani Thanaraj Krishnan, Kumar Janardanan
Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus. Evidence-based complementary and alternative medicine : eCAM 2020 (2020)
Ramji Kalidoss, Snekhalatha U, Rohini Anandan, Vattikondala Ganesh, Yuvaraj Sivalingam
Comparative Study on the Preparation and Gas Sensing Properties of Reduced Graphene Oxide/SnO2 Binary Nanocomposite for Detection of Acetone in Exhaled Breath. Analytical chemistry 91 (8) (2019)
Devaraj Ashok Kumar, Mariamicheal Anburajan, Snekhalatha U
Evaluation of low bone mass and prediction of fracture risk using metacarpal radiogrammetry method: a comparative study with DXA and X-ray phantom. International journal of rheumatic diseases 21 (7) (2018)

Snekhalatha U.css-eqlu8i{font-size:small;padding-left:4px;} (U Snekhalatha, Snekhalatha Umapathy, Umapathy Snekhalatha, Snehalatha Umapathy)

Publication Activity (10 Years)

Top Topics

Top Venues

Snekhalatha U (U Snekhalatha, Snekhalatha Umapathy, Umapathy Snekhalatha, Snehalatha Umapathy)