Nagma Vohra Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

faculty

9 h-index 27 pubs 349 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Cancer Genomics and Diagnostics Carcinogens and Genotoxicity Assessment Health and Medical Research Impacts

Links

ORCID Research Group

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OverviewAI-generated summary

Nagma Vohra's research focuses on the application of terahertz (THz) imaging and spectroscopy for the detection and characterization of breast cancer, utilizing both animal and human models. Her work involves developing advanced computational techniques, including deep learning and supervised Bayesian learning, to analyze THz image data. Publications detail the use of wavelet synchro-squeezed transformation and transfer learning for classification, as well as semantic segmentation of tumor tissues. Vohra has also investigated the use of Sprague Dawley rats induced with N-ethyl-N-nitrosourea to evaluate THz imaging efficacy for breast cancer.

Her scholarly output includes 27 publications, with a total of 349 citations and an h-index of 9. Vohra collaborates with several researchers at the University of Arkansas at Fayetteville, including Magda El‐Shenawee, Alexander Nelson, Jingxian Wu, and Narasimhan Rajaram, with whom she shares multiple publications. Her most recent publication was in 2024, indicating ongoing activity in her research area.

Metrics

  • h-index: 9
  • Publications: 27
  • Citations: 349

Selected Publications

  • Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations (2024) DOI
  • Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy (2023) DOI
  • Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology (2022) DOI
  • Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning (2022) DOI
  • Terahertz Imaging of ENU Injected Sprague Dawley Rat Breast Cancer Tumors (2021) DOI
  • Terahertz Imaging of Breast Cancer using Human and Animal Models (2021) DOI
  • Supervised Bayesian learning for breast cancer detection in terahertz imaging (2021) DOI
  • Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer (2021) DOI

Collaborators

Researchers in the database who share publications

Magda El‐Shenawee University of Arkansas at Fayetteville 8 shared publications Alexander Nelson University of Arkansas at Fayetteville 4 shared publications Jingxian Wu University of Arkansas at Fayetteville 3 shared publications Narasimhan Rajaram University of Arkansas at Fayetteville 2 shared publications Joel Rodríguez Troncoso University of Arkansas at Fayetteville 2 shared publications

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