Thomas M. Link
According to our database1,
Thomas M. Link
authored at least 32 papers
between 2003 and 2023.
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Bibliography
2023
AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data.
J. Digit. Imaging, June, 2023
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.
J. Digit. Imaging, April, 2023
2021
Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform.
CoRR, 2021
2020
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning.
CoRR, 2020
2019
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.
J. Digit. Imaging, 2019
2014
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.
J. Electronic Imaging, 2014
2012
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Femoral strength prediction using a 3D reconstruction method from Dual-energy X-ray Absorptiometry.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2010
Does femoral strain distribution coincide with the occurrence of cervical versus trochanteric hip fractures? An experimental finite element study.
Medical Biol. Eng. Comput., 2010
3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
3D reconstruction of both shape and bone mineral density distribution of the femur from DXA images.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Comparing the sensitivity of wavelets, Minkowski functionals, and scaling indices to higher order correlations in MR images of the trabecular bone using surrogates.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2008
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 tesla.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Prediction of Biomechanical Parameters of the Proximal Femur Using Statistical Appearance Models and Support Vector Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
Analyzing µCT images of bone specimen with wavelets and scaling indices: Which texture measure does better to depict the trabecular bone structure?
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Application of the scaling index method to µCT images of human trabecular bone for the characterization of biomechanical strength.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Optimizing texture measures quantifying bone structures as well as MR-sequences at 3 Tesla: an integrative statistical approach.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Quantifying changes in the bone microarchitecture using Minkowski-functionals and scaling vectors: a comparative study.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
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.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
Improving the textural characterization of trabecular bone structure to quantify its changes: the locally adapted scaling vector method.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Performance of linear and nonlinear texture measures in 2D and 3D for monitoring architectural changes in osteoporosis using computer-generated models of trabecular bone.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Comparing nonlinear texture measures for quantifying trabecular bone structures using surrogates.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Assessing the biomechanical strength of trabecular bone in vitro using 3D anisotropic nonlinear texture measures: the scaling vector method.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Application of the Minkowski functionals in 3D to high-resolution MR images of trabecular bone: prediction of the biomechanical strength by nonlinear topological measures.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
The 3D-based scaling index algorithm to optimize structure analysis of trabecular bone in postmenopausal women with and without osteoporotic spine fractures.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004
2003
Analyzing and selecting texture measures for quantifying trabecular bone structures using surrogates.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength.
Proceedings of the Medical Imaging 2003: Image Processing, 2003