Tyler Bradshaw
Tyler Bradshaw
Geverifieerd e-mailadres voor wisc.edu
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Deep learning MR imaging–based attenuation correction for PET/MR imaging
F Liu, H Jang, R Kijowski, T Bradshaw, AB McMillan
Radiology 286 (2), 676-684, 2018
1212018
Molecular imaging to plan radiotherapy and evaluate its efficacy
R Jeraj, T Bradshaw, U Simončič
Journal of Nuclear Medicine 56 (11), 1752-1765, 2015
462015
Repeatability of quantitative 18F-NaF PET: a multicenter study
C Lin, T Bradshaw, T Perk, S Harmon, J Eickhoff, N Jallow, PL Choyke, ...
Journal of Nuclear Medicine 57 (12), 1872-1879, 2016
412016
Heterogeneity in intratumor correlations of 18F-FDG, 18F-FLT, and 61Cu-ATSM PET in canine sinonasal tumors
TJ Bradshaw, SR Bowen, N Jallow, LJ Forrest, R Jeraj
Journal of Nuclear Medicine 54 (11), 1931-1937, 2013
292013
Current methods to define metabolic tumor volume in positron emission tomography: which one is better?
HJ Im, T Bradshaw, M Solaiyappan, SY Cho
Nuclear medicine and molecular imaging 52 (1), 5-15, 2018
242018
Spatiotemporal stability of Cu-ATSM and FLT positron emission tomography distributions during radiation therapy
TJ Bradshaw, S Yip, N Jallow, LJ Forrest, R Jeraj
International Journal of Radiation Oncology* Biology* Physics 89 (2), 399-405, 2014
222014
Molecular imaging biomarkers of resistance to radiation therapy for spontaneous nasal tumors in canines
TJ Bradshaw, SR Bowen, MA Deveau, L Kubicek, P White, SM Bentzen, ...
International Journal of Radiation Oncology* Biology* Physics 91 (4), 787-795, 2015
212015
A deep learning approach for 18 F-FDG PET attenuation correction
F Liu, H Jang, R Kijowski, G Zhao, T Bradshaw, AB McMillan
EJNMMI physics 5 (1), 1-15, 2018
172018
Deep learning based MRAC using rapid ultrashort echo time imaging
H Jang, F Liu, G Zhao, T Bradshaw, AB McMillan
Medical physics 45 (8), 3697-3704, 2018
132018
Rapid dual‐echo ramped hybrid encoding MR‐based attenuation correction (d RHE‐MRAC) for PET/MR
H Jang, F Liu, T Bradshaw, AB McMillan
Magnetic resonance in medicine 79 (6), 2912-2922, 2018
122018
Automated classification of benign and malignant lesions in 18F-NaF PET/CT images using machine learning
T Perk, T Bradshaw, S Chen, H Im, S Cho, S Perlman, G Liu, R Jeraj
Physics in Medicine & Biology 63 (22), 225019, 2018
102018
Feasibility of Deep Learning–Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images
TJ Bradshaw, G Zhao, H Jang, F Liu, AB McMillan
Tomography 4 (3), 138, 2018
72018
Deep learning for classification of benign and malignant bone lesions in [F-18] NaF PET/CT images.
T Bradshaw, T Perk, S Chen, HJ Im, S Cho, S Perlman, R Jeraj
Journal of Nuclear Medicine 59 (supplement 1), 327-327, 2018
72018
Image quality of Zr-89 PET imaging in the Siemens microPET Focus 220 preclinical scanner
TJ Bradshaw, MJ Voorbach, DR Reuter, AM Giamis, SR Mudd, JD Beaver
Molecular Imaging and Biology 18 (3), 377-385, 2016
52016
Predicting location of recurrence using FDG, FLT, and Cu-ATSM PET in canine sinonasal tumors treated with radiotherapy
T Bradshaw, R Fu, S Bowen, J Zhu, L Forrest, R Jeraj
Physics in Medicine & Biology 60 (13), 5211, 2015
52015
A statistically optimized regional thresholding method (SORT) for bone lesion detection in 18F-NaF PET/CT imaging
T Perk, S Chen, S Harmon, C Lin, T Bradshaw, S Perlman, G Liu, R Jeraj
Physics in Medicine & Biology 63 (22), 225018, 2018
32018
A novel approach for quantitative harmonization in PET
M Namias, T Bradshaw, VO Menezes, MAD Machado, R Jeraj
Physics in Medicine & Biology 63 (9), 095019, 2018
22018
Validation of multi-level Otsu method to define metabolic tumor volume in positron emission tomography
HJ Im, M Solaiyappan, T Bradshaw, S Cho
Journal of Nuclear Medicine 57 (supplement 2), 1405-1405, 2016
22016
TU‐AB‐BRA‐05: Repeatability of [F‐18]‐NaF PET Imaging Biomarkers for Bone Lesions: A Multicenter Study
C Lin, T Bradshaw, T Perk, S Harmon, G Liu, R Jeraj
Medical physics 42 (6Part31), 3587-3587, 2015
22015
Scan time reduction with advanced PET reconstruction: Preserving lesion detection performance
DJ Kadrmas, TJ Bradshaw, ME Casey, JJ Hamill
IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2381-2387, 2010
22010
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Artikelen 1–20