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Scientific Data
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March 2, 2024
Lumbar spine segmentation in MR images: a dataset and a public benchmark
Jasper W van der Graaf, Miranda L van Hooff, Constantinus F M Buckens, et al.
European Radiology
|
April 18, 2024
Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs
Nils Hendrix, Ward Hendrix, Bas Maresch, et al.
Radiology
|
May 9, 2020
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy, Henk Smits, Arnoud J G Knoops, et al.
Radiology. Artificial Intelligence
|
August 5, 2021
Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs
Nils Hendrix, Ernst Scholten, Bastiaan Vernhout, et al.
Ultraschall in Der Medizin (Stuttgart, Germany : 1980)
|
August 23, 2021
The Potential of Shear Wave Elastography to Reduce Unnecessary Biopsies in Breast Cancer Diagnosis: An International, Diagnostic, Multicenter Trial
Michael Golatta, André Pfob, Christopher Büsch, et al.
Clinical Chemistry
|
June 21, 2024
Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data
Anoeska Schipper, Matthieu Rutten, Adriaan van Gammeren, et al.
European Journal of Cancer (Oxford, England : 1990)
|
December 8, 2021
The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics - An international, multicentre trial
Michael Golatta, André Pfob, Christopher Büsch, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
August 20, 2025
Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis
Lie Cai, André Pfob, Richard G Barr, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
February 15, 2023
Potential of Lesion-to-Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI-RADS 4 Breast Lesions
Riku Togawa, André Pfob, Christopher Büsch, et al.
European Radiology
|
February 17, 2022
The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis
André Pfob, Chris Sidey-Gibbons, Richard G Barr, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 23) with videos related to
Sort By:
Page
of 3
Scientific Data
|
March 2, 2024
Lumbar spine segmentation in MR images: a dataset and a public benchmark
Jasper W van der Graaf, Miranda L van Hooff, Constantinus F M Buckens, et al.
European Radiology
|
April 18, 2024
Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs
Nils Hendrix, Ward Hendrix, Bas Maresch, et al.
Radiology
|
May 9, 2020
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy, Henk Smits, Arnoud J G Knoops, et al.
Radiology. Artificial Intelligence
|
August 5, 2021
Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs
Nils Hendrix, Ernst Scholten, Bastiaan Vernhout, et al.
Ultraschall in Der Medizin (Stuttgart, Germany : 1980)
|
August 23, 2021
The Potential of Shear Wave Elastography to Reduce Unnecessary Biopsies in Breast Cancer Diagnosis: An International, Diagnostic, Multicenter Trial
Michael Golatta, André Pfob, Christopher Büsch, et al.
Clinical Chemistry
|
June 21, 2024
Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data
Anoeska Schipper, Matthieu Rutten, Adriaan van Gammeren, et al.
European Journal of Cancer (Oxford, England : 1990)
|
December 8, 2021
The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics - An international, multicentre trial
Michael Golatta, André Pfob, Christopher Büsch, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
August 20, 2025
Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis
Lie Cai, André Pfob, Richard G Barr, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
February 15, 2023
Potential of Lesion-to-Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI-RADS 4 Breast Lesions
Riku Togawa, André Pfob, Christopher Büsch, et al.
European Radiology
|
February 17, 2022
The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis
André Pfob, Chris Sidey-Gibbons, Richard G Barr, et al.
Page
of 3