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Ritse Mann

Showing results (1-10 of 49) with videos related to

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Seminars in Cancer Biology|June 13, 2020
Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the artIoannis Sechopoulos, Jonas Teuwen, Ritse Mann
Medical Physics|August 29, 2018
Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imagingMarco Caballo, Ritse Mann, Ioannis Sechopoulos
Medical Physics|April 21, 2018
An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography imagesMarco Caballo, John M Boone, Ritse Mann, et al.
IEEE Transactions on Medical Imaging|September 24, 2013
Generating Synthetic Mammograms From Reconstructed Tomosynthesis VolumesGuido van Schie, Ritse Mann, Mechli Imhof-Tas, et al.
IEEE Transactions on Medical Imaging|September 24, 2013
Automated characterization of breast lesions imaged with an ultrafast DCE-MR protocolBram Platel, Roel Mus, Tessa Welte, et al.
Physics in Medicine and Biology|November 13, 2018
Development of 3D patient-based super-resolution digital breast phantoms using machine learningMarco Caballo, Christian Fedon, Luca Brombal, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasoundHaixia Liu, Tao Tan, Jan van Zelst, et al.
European Radiology|July 31, 2024
ESR Essentials: diagnostic work-up in patients with symptomatic breast disease-practice recommendations by the European Society of Breast ImagingAlexandra Athanasiou, Linda Appelman, Ruud M Pijnappel, et al.
Medical Physics|January 10, 2016
A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolutionMehmet Ufuk Dalmış, Albert Gubern-Mérida, Suzan Vreemann, et al.
Investigative Radiology|January 18, 2019
Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWIMehmet U Dalmiş, Albert Gubern-Mérida, Suzan Vreemann, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Seminars in Cancer Biology|June 13, 2020
Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the artIoannis Sechopoulos, Jonas Teuwen, Ritse Mann
Medical Physics|August 29, 2018
Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imagingMarco Caballo, Ritse Mann, Ioannis Sechopoulos
Medical Physics|April 21, 2018
An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography imagesMarco Caballo, John M Boone, Ritse Mann, et al.
IEEE Transactions on Medical Imaging|September 24, 2013
Generating Synthetic Mammograms From Reconstructed Tomosynthesis VolumesGuido van Schie, Ritse Mann, Mechli Imhof-Tas, et al.
IEEE Transactions on Medical Imaging|September 24, 2013
Automated characterization of breast lesions imaged with an ultrafast DCE-MR protocolBram Platel, Roel Mus, Tessa Welte, et al.
Physics in Medicine and Biology|November 13, 2018
Development of 3D patient-based super-resolution digital breast phantoms using machine learningMarco Caballo, Christian Fedon, Luca Brombal, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasoundHaixia Liu, Tao Tan, Jan van Zelst, et al.
European Radiology|July 31, 2024
ESR Essentials: diagnostic work-up in patients with symptomatic breast disease-practice recommendations by the European Society of Breast ImagingAlexandra Athanasiou, Linda Appelman, Ruud M Pijnappel, et al.
Medical Physics|January 10, 2016
A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolutionMehmet Ufuk Dalmış, Albert Gubern-Mérida, Suzan Vreemann, et al.
Investigative Radiology|January 18, 2019
Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWIMehmet U Dalmiş, Albert Gubern-Mérida, Suzan Vreemann, et al.
Pageof 5