Name
Papers
Collaborators
THOMAS M. LINK
25
72
Citations 
PageRank 
Referers 
47
12.02
138
Referees 
References 
178
58
Search Limit
100178
Title
Citations
PageRank
Year
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.30.392019
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression10.372012
3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study30.452010
3D reconstruction of both shape and bone mineral density distribution of the femur from DXA images20.382010
Does femoral strain distribution coincide with the occurrence of cervical versus trochanteric hip fractures? An experimental finite element study.30.882010
Comparing the sensitivity of wavelets, Minkowski functionals and scaling indices to higher order correlations in MR images of the trabecular bone using surrogates00.342009
Prediction of Biomechanical Parameters of the Proximal Femur Using Statistical Appearance Models and Support Vector Regression40.562008
Studying the effect of noise on the performance of 2D and 3D texture measures for quantifying the trabecular bone structure as obtained with high resolution MR imaging at 3 tesla10.422008
Three-Dimensional Image Registration Of Mr Proximal Femur Images For The Analysis Of Trabecular Bone Parameters10.372008
Inter-subject comparison of MRI knee cartilage thickness.70.822008
Application of the scaling index method to &mgr;CT images of human trabecular bone for the characterization of biomechanical strength.00.342007
Analyzing µCT images of bone specimen with wavelets and scaling indices: Which texture measure does better to depict the trabecular bone structure?00.342007
Optimizing texture measures quantifying bone structures as well as MR-sequences at 3 Tesla: an integrative statistical approach10.402006
Quantifying changes in the bone microarchitecture using Minkowski-functionals and scaling vectors: a comparative study40.752006
Analysis of the topological properties of the proximal femur on a regional scale: evaluation of multi-detector CT-scans for the assessment of biomechanical strength using local Minkowski functionals in 3D.00.342006
Improving the textural characterization of trabecular bone structure to quantify its changes: the locally adapted scaling vector method30.542005
Performance of linear and nonlinear texture measures in 2D and 3D for monitoring architectural changes in osteoporosis using computer-generated models of trabecular bone10.412005
Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method20.502005
Application of the Minkowski functionals in 3D to high-resolution MR images of trabecular bone: prediction of the biomechanical strength by nonlinear topological measures20.472004
Three-dimensional-based scaling index algorithm to optimize structure analysis of trabecular bone in postmenopausal women with and without osteoporotic spine fractures10.372004
Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen00.342004
Comparing nonlinear texture measures for quantifying trabecular bone structures using surrogates20.482004
Assessing the biomechanical strength of trabecular bone in vitro using 3D anisotropic nonlinear texture measures: the scaling vector method00.342004
Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones61.102003
Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength00.342003