Nagma Vohra Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas

Last publication 2024 Last refreshed 2026-04-04

faculty

9 h-index 27 pubs 353 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Nagma Vohra's research focuses on the application of terahertz (THz) imaging for the detection and characterization of breast cancer. Her work explores advanced computational techniques, including deep learning and Bayesian learning, to analyze THz spectral data for improved diagnostic accuracy. Vohra has investigated the use of wavelet transformations and transfer learning to enhance image classification and semantic segmentation of tissue scans. Her research extends to both human and animal models, utilizing Sprague Dawley rats induced with N-ethyl-N-nitrosourea (NENU) to evaluate the efficacy of THz imaging for mammary tumors. Collaborating with researchers at the University of Arkansas at Fayetteville, including Magda El-Shenawee and Alexander Nelson, Vohra has published multiple studies in this area. Her scholarship metrics include an h-index of 9 with 352 total citations across 27 publications.

Metrics

h-index: 9
Publications: 27
Citations: 353

Selected Publications

Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations (2024)

DOI OpenAlex
Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy (2023)

2 citations DOI OpenAlex
Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology (2022)

1 citation DOI OpenAlex
Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning (2022)

38 citations DOI OpenAlex
Terahertz Imaging of ENU Injected Sprague Dawley Rat Breast Cancer Tumors (2021)

5 citations DOI OpenAlex
Terahertz Imaging of Breast Cancer using Human and Animal Models (2021)

5 citations DOI OpenAlex
Supervised Bayesian learning for breast cancer detection in terahertz imaging (2021)

24 citations DOI OpenAlex
Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer (2021)

8 citations DOI OpenAlex