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Radiology
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April 16, 2020
The Impact of the COVID-19 Pandemic on the Radiology Research Enterprise: Radiology Scientific Expert Panel
Achala Vagal, Scott B Reeder, Daniel K Sodickson, et al.
European Radiology
|
August 28, 2023
Correction: Diffusion-weighted imaging complements T2-weighted MRI for tumour response assessment in squamous anal carcinoma
Davide Prezzi, Keerthini Muthuswamy, Ashik Amlani, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
September 24, 2013
The association of 18F-FDG PET/CT parameters with survival in malignant pleural mesothelioma
Astero Klabatsa, Sugama Chicklore, Sally F Barrington, et al.
Plos One
|
September 11, 2015
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
Petros-Pavlos Ypsilantis, Musib Siddique, Hyon-Mok Sohn, et al.
Radiology
|
March 23, 2012
Reproducibility of 2D and 3D fractal analysis techniques for the assessment of spatial heterogeneity of regional blood flow in rectal cancer
Bal Sanghera, Debasish Banerjee, Aftab Khan, et al.
Radiology
|
January 9, 2013
Primary colorectal cancer: use of kinetic modeling of dynamic contrast-enhanced CT data to predict clinical outcome
Tong San Koh, Quan Sing Ng, Choon Hua Thng, et al.
EJNMMI Research
|
April 22, 2017
The effect of post-injection <sup>18</sup>F-FDG PET scanning time on texture analysis of peripheral nerve sheath tumours in neurofibromatosis-1
Eitan Lovat, Musib Siddique, Vicky Goh, et al.
Radiology
|
November 22, 2012
Non-small cell lung cancer: histopathologic correlates for texture parameters at CT
Balaji Ganeshan, Vicky Goh, Henry C Mandeville, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
June 21, 2014
Anal cancer: ESMO-ESSO-ESTRO clinical practice guidelines for diagnosis, treatment and follow-up
Robert Glynne-Jones, Per J Nilsson, Carlo Aschele, et al.
Insights Into Imaging
|
November 19, 2023
Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images
Robert O'Shea, Thubeena Manickavasagar, Carolyn Horst, et al.
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Search research articles
Search
Showing results (101-110 of 214) with videos related to
Sort By:
Page
of 22
Radiology
|
April 16, 2020
The Impact of the COVID-19 Pandemic on the Radiology Research Enterprise: Radiology Scientific Expert Panel
Achala Vagal, Scott B Reeder, Daniel K Sodickson, et al.
European Radiology
|
August 28, 2023
Correction: Diffusion-weighted imaging complements T2-weighted MRI for tumour response assessment in squamous anal carcinoma
Davide Prezzi, Keerthini Muthuswamy, Ashik Amlani, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
September 24, 2013
The association of 18F-FDG PET/CT parameters with survival in malignant pleural mesothelioma
Astero Klabatsa, Sugama Chicklore, Sally F Barrington, et al.
Plos One
|
September 11, 2015
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
Petros-Pavlos Ypsilantis, Musib Siddique, Hyon-Mok Sohn, et al.
Radiology
|
March 23, 2012
Reproducibility of 2D and 3D fractal analysis techniques for the assessment of spatial heterogeneity of regional blood flow in rectal cancer
Bal Sanghera, Debasish Banerjee, Aftab Khan, et al.
Radiology
|
January 9, 2013
Primary colorectal cancer: use of kinetic modeling of dynamic contrast-enhanced CT data to predict clinical outcome
Tong San Koh, Quan Sing Ng, Choon Hua Thng, et al.
EJNMMI Research
|
April 22, 2017
The effect of post-injection <sup>18</sup>F-FDG PET scanning time on texture analysis of peripheral nerve sheath tumours in neurofibromatosis-1
Eitan Lovat, Musib Siddique, Vicky Goh, et al.
Radiology
|
November 22, 2012
Non-small cell lung cancer: histopathologic correlates for texture parameters at CT
Balaji Ganeshan, Vicky Goh, Henry C Mandeville, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
June 21, 2014
Anal cancer: ESMO-ESSO-ESTRO clinical practice guidelines for diagnosis, treatment and follow-up
Robert Glynne-Jones, Per J Nilsson, Carlo Aschele, et al.
Insights Into Imaging
|
November 19, 2023
Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images
Robert O'Shea, Thubeena Manickavasagar, Carolyn Horst, et al.
Page
of 22