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Martin Halicek

Showing results (1-10 of 39) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
<i>In Vivo</i> Cancer Detection in Animal Model Using Hyperspectral Image Classification with Wavelet Feature ExtractionLing Ma, Martin Halicek, Baowei Fei
Proceedings of Spie--The International Society for Optical Engineering|July 2, 2020
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resectionJames Huang, Martin Halicek, Maysam Shahedi, et al.
Cureus|January 24, 2024
Critical Left Subclavian Artery Stenosis With Retrograde Vertebral Flow: A Case Report and Literature ReviewAndreas Montano, Martin Halicek, Victor Collier, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Hyperspectral Microscopic Imaging for Automatic Detection of Head and Neck Squamous Cell Carcinoma Using Histologic Image and Machine LearningLing Ma, Martin Halicek, Ximing Zhou, et al.
Medical Physics|December 13, 2021
Technical note: The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networksMaysam Shahedi, James D Dormer, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Incorporating minimal user input into deep learning based image segmentationMaysam Shahedi, Martin Halicek, James D Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 25, 2020
Development of a new polarized hyperspectral imaging microscopeXiming Zhou, Ling Ma, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Multiparametric Radiomics for Predicting the Aggressiveness of Papillary Thyroid Carcinoma Using Hyperspectral ImagesKa'Toria Edwards, Martin Halicek, James V Little, et al.
Journal of Biomedical Optics|March 21, 2019
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networksMartin Halicek, James V Little, Xu Wang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 9, 2019
Deep learning-based three-dimensional segmentation of the prostate on computed tomography imagesMaysam Shahedi, Martin Halicek, James D Dormer, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
<i>In Vivo</i> Cancer Detection in Animal Model Using Hyperspectral Image Classification with Wavelet Feature ExtractionLing Ma, Martin Halicek, Baowei Fei
Proceedings of Spie--The International Society for Optical Engineering|July 2, 2020
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resectionJames Huang, Martin Halicek, Maysam Shahedi, et al.
Cureus|January 24, 2024
Critical Left Subclavian Artery Stenosis With Retrograde Vertebral Flow: A Case Report and Literature ReviewAndreas Montano, Martin Halicek, Victor Collier, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Hyperspectral Microscopic Imaging for Automatic Detection of Head and Neck Squamous Cell Carcinoma Using Histologic Image and Machine LearningLing Ma, Martin Halicek, Ximing Zhou, et al.
Medical Physics|December 13, 2021
Technical note: The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networksMaysam Shahedi, James D Dormer, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Incorporating minimal user input into deep learning based image segmentationMaysam Shahedi, Martin Halicek, James D Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 25, 2020
Development of a new polarized hyperspectral imaging microscopeXiming Zhou, Ling Ma, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Multiparametric Radiomics for Predicting the Aggressiveness of Papillary Thyroid Carcinoma Using Hyperspectral ImagesKa'Toria Edwards, Martin Halicek, James V Little, et al.
Journal of Biomedical Optics|March 21, 2019
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networksMartin Halicek, James V Little, Xu Wang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 9, 2019
Deep learning-based three-dimensional segmentation of the prostate on computed tomography imagesMaysam Shahedi, Martin Halicek, James D Dormer, et al.
Pageof 4