Nagma Vohra
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: University of Florida (2002); Indian Institute of Technology Delhi (2002); Vellore Institute of Technology University (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
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: 363
Selected Publications
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Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations (2024)
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Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy (2023)
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Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology (2022)
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Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning (2022)
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Terahertz Imaging of ENU Injected Sprague Dawley Rat Breast Cancer Tumors (2021)
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Terahertz Imaging of Breast Cancer using Human and Animal Models (2021)
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Supervised Bayesian learning for breast cancer detection in terahertz imaging (2021)
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Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer (2021)
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Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors (2020)
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Imaging Breast Ductal Carcinoma In Situ (DCIS) using Pulsed Terahertz Spectroscopy System (2020)
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Spatial Image Segmentation for Breast Cancer Detection in Terahertz Imaging (2020)
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Characterization of Radar Absorbing Materials at 75 GHz - 90 GHz using Free-Space System (2020)
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Dehydration Approach for Enhancing Terahertz Detection of Cancer in Freshly Excised Breast Tumors (2020)
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Supervised Statistical Learning for Cancer Detection in Dehydrated Excised Tissue with Terahertz Imaging (2020)
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K- and W-Band Free-Space Characterizations of Highly Conductive Radar Absorbing Materials (2020)
Collaboration Network
Top Collaborators
- Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Terahertz Imaging of ENU Injected Sprague Dawley Rat Breast Cancer Tumors
Showing 5 of 8 shared publications
- Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Terahertz Imaging of ENU Injected Sprague Dawley Rat Breast Cancer Tumors
Showing 5 of 8 shared publications
- Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning
- Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy
- Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology
- Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations
- Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning
- Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy
- Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology
- Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
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