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Martin Halicek

Showing results (21-30 of 39) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|August 27, 2019
Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning and <i>In-Vivo</i> Hyperspectral Images of Human PatientsHimar Fabelo, Martin Halicek, Samuel Ortega, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 13, 2020
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modelingMaysam Shahedi, Martin Halicek, Qinmei Li, et al.
Cancers|September 22, 2019
Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep LearningMartin Halicek, James D Dormer, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 25, 2018
Tumor Margin Classification of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural NetworksMartin Halicek, James V Little, Xu Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 25, 2018
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristicsMaysam Shahedi, Ling Ma, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Using a 22-Layer U-Net to Perform Segmentation of Squamous Cell Carcinoma on Digitized Head and Neck Histological ImagesAmol Mavuduru, Martin Halicek, Maysam Shahedi, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 13, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological imagesSamuel Ortega, Martin Halicek, Himar Fabelo, et al.
Scientific Reports|October 3, 2019
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Detection of Squamous Cell Carcinoma in Digitized Histological Images from the Head and Neck Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
The Journal of Vascular Access|September 23, 2021
Impact of intravenous access site on attenuation for thoracic computed tomographic angiography: A time-matched, nested, case-control studyMichael A Winkler, Connor Woodward, Timothy R Spencer, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
Proceedings of Spie--The International Society for Optical Engineering|August 27, 2019
Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning and <i>In-Vivo</i> Hyperspectral Images of Human PatientsHimar Fabelo, Martin Halicek, Samuel Ortega, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 13, 2020
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modelingMaysam Shahedi, Martin Halicek, Qinmei Li, et al.
Cancers|September 22, 2019
Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep LearningMartin Halicek, James D Dormer, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 25, 2018
Tumor Margin Classification of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural NetworksMartin Halicek, James V Little, Xu Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 25, 2018
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristicsMaysam Shahedi, Ling Ma, Martin Halicek, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Using a 22-Layer U-Net to Perform Segmentation of Squamous Cell Carcinoma on Digitized Head and Neck Histological ImagesAmol Mavuduru, Martin Halicek, Maysam Shahedi, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 13, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological imagesSamuel Ortega, Martin Halicek, Himar Fabelo, et al.
Scientific Reports|October 3, 2019
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Detection of Squamous Cell Carcinoma in Digitized Histological Images from the Head and Neck Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
The Journal of Vascular Access|September 23, 2021
Impact of intravenous access site on attenuation for thoracic computed tomographic angiography: A time-matched, nested, case-control studyMichael A Winkler, Connor Woodward, Timothy R Spencer, et al.
Pageof 4