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Hilde Bosmans

Showing results (81-90 of 155) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|December 29, 2025
In-depth look at the use of pixel variance and the noise power spectrum in digital mammography quality controlKristina Tri Wigati, Hilde Bosmans, Joke Binst, et al.
Journal of Crohn'S & Colitis|January 6, 2025
Radiation exposure in patients with inflammatory bowel diseaseThibaud Jorissen, Liselotte Fierens, Hilde Bosmans, et al.
Medical Physics|August 30, 2003
Development and validation of a simulation procedure to study the visibility of micro calcifications in digital mammogramsAnn-Katherine Carton, Hilde Bosmans, Chantal Van Ongeval, et al.
Radiology. Artificial Intelligence|September 3, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction ModelYao-Kuan Wang, Zan Klanecek, Tobias Wagner, et al.
European Journal of Radiology|September 11, 2007
Image quality assessment using the CD-DISC phantom for vascular radiology and vascular surgeryLara Struelens, Lionel Hambach, Nico Buls, et al.
Dento Maxillo Facial Radiology|January 7, 2017
Spatial and contrast resolution of ultralow dose dentomaxillofacial CT imaging using iterative reconstruction technologyGerlig Widmann, Alexander Bischel, Andreas Stratis, et al.
Academic Radiology|August 22, 2002
Exploring multifunctional features of necrosis avid contrast agentsYicheng Ni, Erwin Cresens, Paul Adriaens, et al.
European Radiology|May 11, 2010
Does digital mammography in a decentralized breast cancer screening program lead to screening performance parameters comparable with film-screen mammography?Chantal Van Ongeval, Andre Van Steen, Gretel Vande Putte, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|March 3, 2021
Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observersRuben Pauwels, Danieli Moura Brasil, Mayra Cristina Yamasaki, et al.
Methods (San Diego, Calif.)|March 31, 2009
Tumor models and specific contrast agents for small animal imaging in oncologyYicheng Ni, Huaijun Wang, Feng Chen, et al.
Pageof 16

Showing results (81-90 of 155) with videos related to

Sort By:
Pageof 16
Journal of Medical Imaging (Bellingham, Wash.)|December 29, 2025
In-depth look at the use of pixel variance and the noise power spectrum in digital mammography quality controlKristina Tri Wigati, Hilde Bosmans, Joke Binst, et al.
Journal of Crohn'S & Colitis|January 6, 2025
Radiation exposure in patients with inflammatory bowel diseaseThibaud Jorissen, Liselotte Fierens, Hilde Bosmans, et al.
Medical Physics|August 30, 2003
Development and validation of a simulation procedure to study the visibility of micro calcifications in digital mammogramsAnn-Katherine Carton, Hilde Bosmans, Chantal Van Ongeval, et al.
Radiology. Artificial Intelligence|September 3, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction ModelYao-Kuan Wang, Zan Klanecek, Tobias Wagner, et al.
European Journal of Radiology|September 11, 2007
Image quality assessment using the CD-DISC phantom for vascular radiology and vascular surgeryLara Struelens, Lionel Hambach, Nico Buls, et al.
Dento Maxillo Facial Radiology|January 7, 2017
Spatial and contrast resolution of ultralow dose dentomaxillofacial CT imaging using iterative reconstruction technologyGerlig Widmann, Alexander Bischel, Andreas Stratis, et al.
Academic Radiology|August 22, 2002
Exploring multifunctional features of necrosis avid contrast agentsYicheng Ni, Erwin Cresens, Paul Adriaens, et al.
European Radiology|May 11, 2010
Does digital mammography in a decentralized breast cancer screening program lead to screening performance parameters comparable with film-screen mammography?Chantal Van Ongeval, Andre Van Steen, Gretel Vande Putte, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|March 3, 2021
Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observersRuben Pauwels, Danieli Moura Brasil, Mayra Cristina Yamasaki, et al.
Methods (San Diego, Calif.)|March 31, 2009
Tumor models and specific contrast agents for small animal imaging in oncologyYicheng Ni, Huaijun Wang, Feng Chen, et al.
Pageof 16