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IEEE Transactions on Medical Imaging|September 26, 2008
Efficient segmentation by sparse pixel classificationErik B Dam, Marco LoogComputers in Biology and Medicine|June 19, 2013
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness mapsDan R Jørgensen, Erik B Dam, Martin LillholmCartilage|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 InitiativeSudhakar 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 initiativeErik B Dam, Martin Lillholm, Joselene Marques, et al.Medical Image Analysis|January 8, 2008
Automatic shape model building based on principal geodesic analysis bootstrappingErik B Dam, P Thomas Fletcher, Stephen M PizerOsteoarthritis and Cartilage|March 14, 2007
Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis gradingE B Dam, J Folkesson, P C Pettersen, et al.Optics Express|November 24, 2011
Fiber optic Surface Plasmon Resonance sensor based on wavelength modulation for hydrogen sensingC Perrotton, N Javahiraly, M Slaman, et al.Academic Radiology|September 25, 2007
Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRIJenny Folkesson, Erik B Dam, Ole F Olsen, 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 MRIJoselene Marques, Harry K Genant, Martin Lillholm, et al.Cartilage|June 13, 2015
On Subregional Analysis of Cartilage Loss from Knee MRIDan R Jørgensen, Martin Lillholm, Harry K Genant, et al.Pageof 6