Tyler J. Bradshaw, Ph.D.
Affiliations: | 2015 | Medical Physics | University of Wisconsin, Madison, Madison, WI |
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RadiologyGoogle:
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Parents
Sign in to add mentorRobert Jeraj | grad student | 2015 | UW Madison | |
(Target Definition in Biologically-Conformal Radiation Therapy.) |
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Publications
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Adam DP, Grudzinski JJ, Marsh IR, et al. (2024) Voxel-level dosimetry for combined Iodine-131 radiopharmaceutical therapy and external beam radiotherapy treatment paradigms of head and neck cancer. International Journal of Radiation Oncology, Biology, Physics |
Yousefirizi F, Klyuzhin IS, O JH, et al. (2024) TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images - a multi-center generalizability analysis. European Journal of Nuclear Medicine and Molecular Imaging |
Estakhraji SIZ, Pirasteh A, Bradshaw T, et al. (2023) On the effect of training database size for MR-based synthetic CT generation in the head. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 107: 102227 |
Adam DP, Hammer C, Malyshev JZ, et al. (2023) Creation of waterproof, TLD probes for dose measurements to validate image-based radiopharmaceutical therapy dosimetry workflow. Biomedical Physics & Engineering Express |
Allen TJ, Bancroft LCH, Kumar M, et al. (2022) Gadolinium-Based Contrast Agent Attenuation Does Not Impact PET Quantification in Simultaneous Dynamic Contrast Enhanced Breast PET/MR. Medical Physics |
Adam DP, Grudzinski J, Bormett I, et al. (2022) Validation of Monte Carlo I radiopharmaceutical dosimetry workflow using a 3D printed anthropomorphic head and neck phantom. Medical Physics |
McMillan AB, Bradshaw TJ. (2021) Artificial Intelligence-Based Data Corrections for Attenuation and Scatter in Position Emission Tomography and Single-Photon Emission Computed Tomography. Pet Clinics |
Weisman AJ, Kieler MW, Perlman SB, et al. (2020) Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma. Radiology. Artificial Intelligence. 2: e200016 |
Wallis J, Klein R, Bradshaw T, et al. (2020) PIDSC Remote Viewing Guidelines Document. Journal of Nuclear Medicine Technology |
Tzeng S, Zhu J, Weisman AJ, et al. (2020) Spatial process decomposition for quantitative imaging biomarkers using multiple images of varying shapes. Statistics in Medicine |