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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
January 29, 2011
Ensemble based system for whole-slide prostate cancer probability mapping using color texture features
Matthew D DiFranco, Gillian O'Hurley, Elaine W Kay, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin
|
December 8, 2023
Applicability and robustness of an artificial intelligence-based assessment for Greulich and Pyle bone age in a German cohort
Johanna Pape, Franz Wolfgang Hirsch, Oliver Johannes Deffaa, et al.
Clinical Biomechanics (Bristol, Avon)
|
February 29, 2020
Biomechanical comparison of knotless vs. knotted suture anchors in the acetabular rim with respect to bone density
Emir Benca, Constantin E Dlaska, Matthew D DiFranco, et al.
Plos One
|
April 25, 2014
An intra-individual comparison of MRI, [18F]-FET and [18F]-FLT PET in patients with high-grade gliomas
Martha Nowosielski, Matthew D DiFranco, Daniel Putzer, et al.
Physics in Medicine and Biology
|
May 21, 2019
Impact of intensity discretization on textural indices of [<sup>18</sup>F]FDG-PET tumour heterogeneity in lung cancer patients
Attila Forgács, Monika Béresová, Ildikó Garai, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
February 27, 2016
Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation
Ivo Rausch, Petra Rust, Matthew D DiFranco, et al.
Skeletal Radiology
|
November 13, 2021
Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study
Sebastian Simon, Gilbert M Schwarz, Alexander Aichmair, et al.
Bone & Joint Open
|
November 14, 2022
Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia : an external validation study
Holden Archer, Seth Reine, Ahmed Alshaikhsalama, et al.
Rheumatology (Oxford, England)
|
December 29, 2022
Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes
Mylène P Jansen, Christoph Salzlechner, Eleanor Barnes, et al.
Plos One
|
October 14, 2016
A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, et al.
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Search research articles
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
January 29, 2011
Ensemble based system for whole-slide prostate cancer probability mapping using color texture features
Matthew D DiFranco, Gillian O'Hurley, Elaine W Kay, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin
|
December 8, 2023
Applicability and robustness of an artificial intelligence-based assessment for Greulich and Pyle bone age in a German cohort
Johanna Pape, Franz Wolfgang Hirsch, Oliver Johannes Deffaa, et al.
Clinical Biomechanics (Bristol, Avon)
|
February 29, 2020
Biomechanical comparison of knotless vs. knotted suture anchors in the acetabular rim with respect to bone density
Emir Benca, Constantin E Dlaska, Matthew D DiFranco, et al.
Plos One
|
April 25, 2014
An intra-individual comparison of MRI, [18F]-FET and [18F]-FLT PET in patients with high-grade gliomas
Martha Nowosielski, Matthew D DiFranco, Daniel Putzer, et al.
Physics in Medicine and Biology
|
May 21, 2019
Impact of intensity discretization on textural indices of [<sup>18</sup>F]FDG-PET tumour heterogeneity in lung cancer patients
Attila Forgács, Monika Béresová, Ildikó Garai, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
February 27, 2016
Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation
Ivo Rausch, Petra Rust, Matthew D DiFranco, et al.
Skeletal Radiology
|
November 13, 2021
Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study
Sebastian Simon, Gilbert M Schwarz, Alexander Aichmair, et al.
Bone & Joint Open
|
November 14, 2022
Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia : an external validation study
Holden Archer, Seth Reine, Ahmed Alshaikhsalama, et al.
Rheumatology (Oxford, England)
|
December 29, 2022
Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes
Mylène P Jansen, Christoph Salzlechner, Eleanor Barnes, et al.
Plos One
|
October 14, 2016
A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, et al.
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of 2