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Jeremiah W Sanders

Showing results (1-10 of 16) with videos related to

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Magnetic Resonance in Medicine|February 10, 2019
Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS)Jeremiah W Sanders, Steven J Frank, Rajat J Kudchadker, et al.
AJR. American Journal of Roentgenology|January 15, 2025
Digital Mammography, Tomosynthesis, and Contrast-Enhanced Mammography: Intraindividual Comparison of Mean Glandular Dose for Screening ExaminationsJeremiah W Sanders, William Pavlicek, Wolfgang Stefan, et al.
Radiology. Artificial Intelligence|April 8, 2022
Prospective Evaluation of Prostate and Organs at Risk Segmentation Software for MRI-based Prostate Radiation TherapyJeremiah W Sanders, Rajat J Kudchadker, Chad Tang, et al.
Magnetic Resonance in Medicine|July 30, 2020
Synthetic generation of DSC-MRI-derived relative CBV maps from DCE MRI of brain tumorsJeremiah W Sanders, Henry Szu-Meng Chen, Jason M Johnson, et al.
Brachytherapy|June 9, 2018
Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapyJeremiah W Sanders, Hao Song, Steven J Frank, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 18, 2021
Computer-aided segmentation on MRI for prostate radiotherapy, Part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetryJeremiah W Sanders, Henry Mok, Alexander N Hanania, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 3, 2022
Computer-aided segmentation on MRI for prostate radiotherapy, part II: Comparing human and computer observer populations and the influence of annotator variability on algorithm variabilityJeremiah W Sanders, Henry Mok, Alexander N Hanania, et al.
International Journal of Radiation Oncology, Biology, Physics|July 8, 2020
Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer BrachytherapyJeremiah W Sanders, Gary D Lewis, Howard D Thames, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 16, 2020
MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imagingZijian Zhou, Jeremiah W Sanders, Jason M Johnson, et al.
Radiology|March 18, 2020
Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot DetectorsZijian Zhou, Jeremiah W Sanders, Jason M Johnson, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

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Pageof 2
Magnetic Resonance in Medicine|February 10, 2019
Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS)Jeremiah W Sanders, Steven J Frank, Rajat J Kudchadker, et al.
AJR. American Journal of Roentgenology|January 15, 2025
Digital Mammography, Tomosynthesis, and Contrast-Enhanced Mammography: Intraindividual Comparison of Mean Glandular Dose for Screening ExaminationsJeremiah W Sanders, William Pavlicek, Wolfgang Stefan, et al.
Radiology. Artificial Intelligence|April 8, 2022
Prospective Evaluation of Prostate and Organs at Risk Segmentation Software for MRI-based Prostate Radiation TherapyJeremiah W Sanders, Rajat J Kudchadker, Chad Tang, et al.
Magnetic Resonance in Medicine|July 30, 2020
Synthetic generation of DSC-MRI-derived relative CBV maps from DCE MRI of brain tumorsJeremiah W Sanders, Henry Szu-Meng Chen, Jason M Johnson, et al.
Brachytherapy|June 9, 2018
Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapyJeremiah W Sanders, Hao Song, Steven J Frank, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 18, 2021
Computer-aided segmentation on MRI for prostate radiotherapy, Part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetryJeremiah W Sanders, Henry Mok, Alexander N Hanania, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 3, 2022
Computer-aided segmentation on MRI for prostate radiotherapy, part II: Comparing human and computer observer populations and the influence of annotator variability on algorithm variabilityJeremiah W Sanders, Henry Mok, Alexander N Hanania, et al.
International Journal of Radiation Oncology, Biology, Physics|July 8, 2020
Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer BrachytherapyJeremiah W Sanders, Gary D Lewis, Howard D Thames, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 16, 2020
MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imagingZijian Zhou, Jeremiah W Sanders, Jason M Johnson, et al.
Radiology|March 18, 2020
Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot DetectorsZijian Zhou, Jeremiah W Sanders, Jason M Johnson, et al.
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