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Maysam Shahedi

Showing results (1-10 of 34) with videos related to

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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.
Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applicationsNaeeme Modir, Maysam Shahedi, James Dormer, 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|February 16, 2023
An Augmented Reality-Assisted Visualization System for Potential Applications in Prostate BiopsyPatric Bettati, James D Dormer, Maysam Shahedi, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 16, 2025
LED-based, real-time, hyperspectral imaging deviceNaeeme Modir, Maysam Shahedi, James Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 18, 2022
Virtual Reality Assisted Cardiac CatheterizationPatric Bettati, James D Dormer, Jeff Young, 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.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed pointsTed Shi, Maysam Shahedi, Kayla Caughlin, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
A low-cost PVC-based dual-modality kidney phantomJeff Young, Maysam Shahedi, James D Dormer, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
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.
Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applicationsNaeeme Modir, Maysam Shahedi, James Dormer, 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|February 16, 2023
An Augmented Reality-Assisted Visualization System for Potential Applications in Prostate BiopsyPatric Bettati, James D Dormer, Maysam Shahedi, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 16, 2025
LED-based, real-time, hyperspectral imaging deviceNaeeme Modir, Maysam Shahedi, James Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 18, 2022
Virtual Reality Assisted Cardiac CatheterizationPatric Bettati, James D Dormer, Jeff Young, 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.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed pointsTed Shi, Maysam Shahedi, Kayla Caughlin, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
A low-cost PVC-based dual-modality kidney phantomJeff Young, Maysam Shahedi, James D Dormer, et al.
Pageof 4