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Radiology
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January 21, 2025
Building Rome: TNM Lung Cancer Staging and an Illustration of the Scientific Method
Carolyn Horst
Radiology
|
August 1, 2023
If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication
Carolyn Horst, Mizuki Nishino
The British Journal of Radiology
|
September 20, 2022
Reporting and management of incidental lung findings on computed tomography: beyond lung nodules
Carolyn Horst, Shivani Patel, Arjun Nair
Thorax
|
March 8, 2019
Lessons on managing pulmonary nodules from NELSON: we have come a long way
Carolyn Horst, Arjun Nair, Sam M Janes
BJR Open
|
November 12, 2020
Differential diagnoses of fibrosing lung diseases
Carolyn Horst, Bahareh Gholipour, Arjun Nair, et al.
Chemosphere
|
December 6, 2012
Organic matter source discrimination by humic acid characterization: synchronous scan fluorescence spectroscopy and Ferrate(VI)
Carolyn Horst, Virender K Sharma, J Clayton Baum, et al.
BJR Artificial Intelligence
|
May 1, 2026
The AI doctor will see you now: public perspectives on artificial intelligence in healthcare
Carolyn Horst, Muhammad Aniq, Alice Taylor-Gee, et al.
Radiology. Artificial Intelligence
|
December 11, 2023
Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications
Matthew S Macpherson, Charles E Hutchinson, Carolyn Horst, et al.
Thorax
|
August 15, 2020
Delivering low-dose CT screening for lung cancer: a pragmatic approach
Carolyn Horst, Jennifer L Dickson, Sophie Tisi, 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 4
Search research articles
Search
Showing results (1-10 of 40) with videos related to
Sort By:
Page
of 4
Radiology
|
January 21, 2025
Building Rome: TNM Lung Cancer Staging and an Illustration of the Scientific Method
Carolyn Horst
Radiology
|
August 1, 2023
If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication
Carolyn Horst, Mizuki Nishino
The British Journal of Radiology
|
September 20, 2022
Reporting and management of incidental lung findings on computed tomography: beyond lung nodules
Carolyn Horst, Shivani Patel, Arjun Nair
Thorax
|
March 8, 2019
Lessons on managing pulmonary nodules from NELSON: we have come a long way
Carolyn Horst, Arjun Nair, Sam M Janes
BJR Open
|
November 12, 2020
Differential diagnoses of fibrosing lung diseases
Carolyn Horst, Bahareh Gholipour, Arjun Nair, et al.
Chemosphere
|
December 6, 2012
Organic matter source discrimination by humic acid characterization: synchronous scan fluorescence spectroscopy and Ferrate(VI)
Carolyn Horst, Virender K Sharma, J Clayton Baum, et al.
BJR Artificial Intelligence
|
May 1, 2026
The AI doctor will see you now: public perspectives on artificial intelligence in healthcare
Carolyn Horst, Muhammad Aniq, Alice Taylor-Gee, et al.
Radiology. Artificial Intelligence
|
December 11, 2023
Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications
Matthew S Macpherson, Charles E Hutchinson, Carolyn Horst, et al.
Thorax
|
August 15, 2020
Delivering low-dose CT screening for lung cancer: a pragmatic approach
Carolyn Horst, Jennifer L Dickson, Sophie Tisi, 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 4