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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography

PloS one, 2015-02, Vol.10 (2), p.e0117157

2015

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Drivers of uncertainty in simulated ocean circulation and heat uptake

Geophysical research letters, 2017-02, Vol.44 (3), p.1402-1413

2017

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Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection

Journal of Medical and Biological Engineering, 2013-01, Vol.33 (1), p.59-68

2013

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Proposed Prediction Model and Nomogram for Systemic Complications in Patients Undergoing Free Flap Head and Neck Reconstruction

Frontiers in surgery, 2021-12, Vol.8, p.771282-771282

2021

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Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

IEEE transactions on biomedical engineering, 2013-10, Vol.60 (10), p.2896-2903

2013

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Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology

Artificial intelligence in medicine, 2014-01, Vol.60 (1), p.65-77

2014

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Performance of topological texture features to classify fibrotic interstitial lung disease patterns

Medical physics (Lancaster), 2011-04, Vol.38 (4), p.2035-2044

2011

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Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement

Machine vision and applications, 2013-10, Vol.24 (7), p.1371-1381

2013

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Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

Journal of digital imaging, 2014-02, Vol.27 (1), p.98-107

2014

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Texture feature ranking with relevance learning to classify interstitial lung disease patterns

Artificial intelligence in medicine, 2012-10, Vol.56 (2), p.91-97

2012

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Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression

IEEE transactions on biomedical engineering, 2011-06, Vol.58 (6), p.1820-1826

2011

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Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression

Journal of electronic imaging, 2014-02, Vol.23 (1), p.13013

2014

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Assessment of trabecular bone structure of the calcaneus using multi-detector CT: Correlation with microCT and biomechanical testing

Bone (New York, N.Y.), 2009-05, Vol.44 (5), p.976-983

2009

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Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography

Medical & biological engineering & computing, 2015-11, Vol.53 (11), p.1211-1220

2015

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Trabecular Bone Structure Analysis in the Osteoporotic Spine Using a Clinical In Vivo Setup for 64‐Slice MDCT Imaging: Comparison to μCT Imaging and μFE Modeling

Journal of bone and mineral research, 2009-09, Vol.24 (9), p.1628-1637

2009

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Proximal femur specimens: automated 3D trabecular bone mineral density analysis at multidetector CT--correlation with biomechanical strength measurement

Radiology, 2008-05, Vol.247 (2), p.472-481

2008

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Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time

Machine vision and applications, 2013-10, Vol.24 (7)

2013

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Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images

Magnetic resonance in medicine, 2009-02, Vol.61 (2), p.448-456

2009

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Meniscal Measurements of T1 ρ and T2 at MR Imaging in Healthy Subjects and Patients with Osteoarthritis

Radiology, 2008-11, Vol.249 (2), p.591-600

2008

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Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement : Machine learning in medical imaging

Machine vision and applications, 2013, Vol.24 (7), p.1371-1381

2013

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The relation between physical properties of galaxies and their environmental geometry in the sloan digital sky survey

Huber, Markus B

2015

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Integrating Dimension Reduction and Out-of-Sample Extension in Automated Classification of Ex Vivo Human Patellar Cartilage on Phase Contrast X-Ray Computed Tomography: e0117157

PloS one, 2015-02, Vol.10 (2)

2015

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Analysing large-scale structure — I. Weighted scaling indices and constrained randomization

Monthly notices of the Royal Astronomical Society, 2002-12, Vol.337 (2), p.413-421

2002

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Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization

Machine Learning in Medical Imaging, p.352-359

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Analysing large-scale structure - I. Weighted scaling indices and constrained randomization

Monthly notices of the Royal Astronomical Society, 2002-12, Vol.337 (2), p.413-421

2002

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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography

Drivers of uncertainty in simulated ocean circulation and heat uptake

Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection

Proposed Prediction Model and Nomogram for Systemic Complications in Patients Undergoing Free Flap Head and Neck Reconstruction

Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology

Performance of topological texture features to classify fibrotic interstitial lung disease patterns

Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

Texture feature ranking with relevance learning to classify interstitial lung disease patterns

Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression

Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression

Assessment of trabecular bone structure of the calcaneus using multi-detector CT: Correlation with microCT and biomechanical testing

Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography

Trabecular Bone Structure Analysis in the Osteoporotic Spine Using a Clinical In Vivo Setup for 64‐Slice MDCT Imaging: Comparison to μCT Imaging and μFE Modeling

Proximal femur specimens: automated 3D trabecular bone mineral density analysis at multidetector CT--correlation with biomechanical strength measurement

Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time

Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images

Meniscal Measurements of T1 ρ and T2 at MR Imaging in Healthy Subjects and Patients with Osteoarthritis

Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement : Machine learning in medical imaging

The relation between physical properties of galaxies and their environmental geometry in the sloan digital sky survey

Integrating Dimension Reduction and Out-of-Sample Extension in Automated Classification of Ex Vivo Human Patellar Cartilage on Phase Contrast X-Ray Computed Tomography: e0117157

Analysing large-scale structure — I. Weighted scaling indices and constrained randomization

Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization

Analysing large-scale structure - I. Weighted scaling indices and constrained randomization

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