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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
September 19, 2015
Molecular Imaging to Plan Radiotherapy and Evaluate Its Efficacy
Robert Jeraj, Tyler Bradshaw, Urban Simončič
Tzu Chi Medical Journal
|
April 29, 2021
Gender differences in the association between social support and caregiver alcohol use in posttraumatic stress disorder of east Taiwan adolescents
Ching-Yi Kao, Tyler Bradshaw, Theodoris Mazarakis
Physics in Medicine and Biology
|
May 22, 2024
Investigation of a measurement-based dosimetry approach to beta particle-emitting radiopharmaceutical therapy nuclides across tissue interfaces
Andrew Bertinetti, Benjamin Palmer, Tyler Bradshaw, et al.
Magnetic Resonance in Medicine
|
October 4, 2017
Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR
Hyungseok Jang, Fang Liu, Tyler Bradshaw, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
May 11, 2023
On the effect of training database size for MR-based synthetic CT generation in the head
Seyed Iman Zare Estakhraji, Ali Pirasteh, Tyler Bradshaw, et al.
Nuclear Medicine and Molecular Imaging
|
February 3, 2018
Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?
Hyung-Jun Im, Tyler Bradshaw, Meiyappan Solaiyappan, et al.
Medical Physics
|
May 16, 2018
Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging
Hyungseok Jang, Fang Liu, Gengyan Zhao, et al.
Radiology
|
September 20, 2017
Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging
Fang Liu, Hyungseok Jang, Richard Kijowski, et al.
Physics in Medicine and Biology
|
June 18, 2015
Predicting location of recurrence using FDG, FLT, and Cu-ATSM PET in canine sinonasal tumors treated with radiotherapy
Tyler Bradshaw, Rau Fu, Stephen Bowen, et al.
EJNMMI Physics
|
November 13, 2018
A deep learning approach for <sup>18</sup>F-FDG PET attenuation correction
Fang Liu, Hyungseok Jang, Richard Kijowski, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
September 19, 2015
Molecular Imaging to Plan Radiotherapy and Evaluate Its Efficacy
Robert Jeraj, Tyler Bradshaw, Urban Simončič
Tzu Chi Medical Journal
|
April 29, 2021
Gender differences in the association between social support and caregiver alcohol use in posttraumatic stress disorder of east Taiwan adolescents
Ching-Yi Kao, Tyler Bradshaw, Theodoris Mazarakis
Physics in Medicine and Biology
|
May 22, 2024
Investigation of a measurement-based dosimetry approach to beta particle-emitting radiopharmaceutical therapy nuclides across tissue interfaces
Andrew Bertinetti, Benjamin Palmer, Tyler Bradshaw, et al.
Magnetic Resonance in Medicine
|
October 4, 2017
Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR
Hyungseok Jang, Fang Liu, Tyler Bradshaw, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
May 11, 2023
On the effect of training database size for MR-based synthetic CT generation in the head
Seyed Iman Zare Estakhraji, Ali Pirasteh, Tyler Bradshaw, et al.
Nuclear Medicine and Molecular Imaging
|
February 3, 2018
Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?
Hyung-Jun Im, Tyler Bradshaw, Meiyappan Solaiyappan, et al.
Medical Physics
|
May 16, 2018
Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging
Hyungseok Jang, Fang Liu, Gengyan Zhao, et al.
Radiology
|
September 20, 2017
Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging
Fang Liu, Hyungseok Jang, Richard Kijowski, et al.
Physics in Medicine and Biology
|
June 18, 2015
Predicting location of recurrence using FDG, FLT, and Cu-ATSM PET in canine sinonasal tumors treated with radiotherapy
Tyler Bradshaw, Rau Fu, Stephen Bowen, et al.
EJNMMI Physics
|
November 13, 2018
A deep learning approach for <sup>18</sup>F-FDG PET attenuation correction
Fang Liu, Hyungseok Jang, Richard Kijowski, et al.
Page
of 3