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Academic Radiology
|
November 13, 2008
Toward integrated automated analysis of articular cartilage and trabecular bone in osteoarthritis
Erik B Dam
Academic Radiology
|
September 25, 2007
Quantitative automated musculoskeletal analysis
Erik B Dam
IEEE Transactions on Medical Imaging
|
September 26, 2008
Efficient segmentation by sparse pixel classification
Erik B Dam, Marco Loog
Computers in Biology and Medicine
|
June 19, 2013
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Dan R Jørgensen, Erik B Dam, Martin Lillholm
Cartilage
|
December 9, 2017
Gender Differences in Knee Joint Congruity Quantified from MRI: A Validation Study with Data from Center for Clinical and Basic Research and Osteoarthritis Initiative
Sudhakar Tummala, Dieuwke Schiphof, Inger Byrjalsen, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Erik B Dam, Martin Lillholm, Joselene Marques, et al.
Medical Image Analysis
|
January 8, 2008
Automatic shape model building based on principal geodesic analysis bootstrapping
Erik B Dam, P Thomas Fletcher, Stephen M Pizer
Academic Radiology
|
September 25, 2007
Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI
Jenny Folkesson, Erik B Dam, Ole F Olsen, et al.
Magnetic Resonance in Medicine
|
March 2, 2018
Cartilage cavity-an MRI marker of cartilage lesions in knee OA with Data from CCBR, OAI, and PROOF
Erik B Dam, Jos Runhaar, Sita Bierma-Zienstra, et al.
Magnetic Resonance in Medicine
|
September 4, 2012
Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI
Joselene Marques, Harry K Genant, Martin Lillholm, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
Academic Radiology
|
November 13, 2008
Toward integrated automated analysis of articular cartilage and trabecular bone in osteoarthritis
Erik B Dam
Academic Radiology
|
September 25, 2007
Quantitative automated musculoskeletal analysis
Erik B Dam
IEEE Transactions on Medical Imaging
|
September 26, 2008
Efficient segmentation by sparse pixel classification
Erik B Dam, Marco Loog
Computers in Biology and Medicine
|
June 19, 2013
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Dan R Jørgensen, Erik B Dam, Martin Lillholm
Cartilage
|
December 9, 2017
Gender Differences in Knee Joint Congruity Quantified from MRI: A Validation Study with Data from Center for Clinical and Basic Research and Osteoarthritis Initiative
Sudhakar Tummala, Dieuwke Schiphof, Inger Byrjalsen, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Erik B Dam, Martin Lillholm, Joselene Marques, et al.
Medical Image Analysis
|
January 8, 2008
Automatic shape model building based on principal geodesic analysis bootstrapping
Erik B Dam, P Thomas Fletcher, Stephen M Pizer
Academic Radiology
|
September 25, 2007
Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI
Jenny Folkesson, Erik B Dam, Ole F Olsen, et al.
Magnetic Resonance in Medicine
|
March 2, 2018
Cartilage cavity-an MRI marker of cartilage lesions in knee OA with Data from CCBR, OAI, and PROOF
Erik B Dam, Jos Runhaar, Sita Bierma-Zienstra, et al.
Magnetic Resonance in Medicine
|
September 4, 2012
Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI
Joselene Marques, Harry K Genant, Martin Lillholm, et al.
Page
of 5