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European Radiology
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March 5, 2025
Artificial intelligence for the detection of airway nodules in chest CT scans
Ward Hendrix, Nils Hendrix, Ernst T Scholten, et al.
Plos One
|
July 30, 2021
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19
Erdi Çallı, Keelin Murphy, Steef Kurstjens, et al.
European Radiology
|
June 20, 2023
Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals
Ward Hendrix, Matthieu Rutten, Nils Hendrix, et al.
European Radiology
|
May 17, 2024
Performance of AI to exclude normal chest radiographs to reduce radiologists' workload
Steven Schalekamp, Kicky van Leeuwen, Erdi Calli, et al.
Ultrasound in Medicine & Biology
|
June 4, 2017
Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound
Jan C M van Zelst, Maschenka Balkenhol, Tao Tan, et al.
European Radiology
|
February 22, 2024
Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI
Jasper W van der Graaf, Miranda L van Hooff, Bram van Ginneken, et al.
World Journal of Emergency Surgery : WJES
|
December 24, 2024
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department
Anoeska Schipper, Peter Belgers, Rory O'Connor, et al.
JMIR Medical Informatics
|
May 4, 2026
Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation Study
Anoeska Schipper, Peter Belgers, Rory David O'Connor, et al.
European Radiology
|
November 15, 2022
Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist
Nils Hendrix, Ward Hendrix, Kees van Dijke, et al.
Communications Medicine
|
October 27, 2023
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Ward Hendrix, Nils Hendrix, Ernst T Scholten, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
European Radiology
|
March 5, 2025
Artificial intelligence for the detection of airway nodules in chest CT scans
Ward Hendrix, Nils Hendrix, Ernst T Scholten, et al.
Plos One
|
July 30, 2021
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19
Erdi Çallı, Keelin Murphy, Steef Kurstjens, et al.
European Radiology
|
June 20, 2023
Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals
Ward Hendrix, Matthieu Rutten, Nils Hendrix, et al.
European Radiology
|
May 17, 2024
Performance of AI to exclude normal chest radiographs to reduce radiologists' workload
Steven Schalekamp, Kicky van Leeuwen, Erdi Calli, et al.
Ultrasound in Medicine & Biology
|
June 4, 2017
Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound
Jan C M van Zelst, Maschenka Balkenhol, Tao Tan, et al.
European Radiology
|
February 22, 2024
Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI
Jasper W van der Graaf, Miranda L van Hooff, Bram van Ginneken, et al.
World Journal of Emergency Surgery : WJES
|
December 24, 2024
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department
Anoeska Schipper, Peter Belgers, Rory O'Connor, et al.
JMIR Medical Informatics
|
May 4, 2026
Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation Study
Anoeska Schipper, Peter Belgers, Rory David O'Connor, et al.
European Radiology
|
November 15, 2022
Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist
Nils Hendrix, Ward Hendrix, Kees van Dijke, et al.
Communications Medicine
|
October 27, 2023
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Ward Hendrix, Nils Hendrix, Ernst T Scholten, et al.
Page
of 3