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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

PloS one, 2017-08, Vol.12 (8), p.e0184059-e0184059

2017

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Iterative most-likely point registration (IMLP): a robust algorithm for computing optimal shape alignment

PloS one, 2015-03, Vol.10 (3), p.e0117688-e0117688

2015

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Automated detection of erythema migrans and other confounding skin lesions via deep learning

Computers in biology and medicine, 2019-02, Vol.105, p.151-156

2019

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The deformable most-likely-point paradigm

Medical image analysis, 2019-07, Vol.55, p.148-164

2019

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Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System

PloS one, 2014-12, Vol.9 (12), p.e115881-e115881

2014

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Generalized iterative most likely oriented-point (G-IMLOP) registration

International journal for computer assisted radiology and surgery, 2015-08, Vol.10 (8), p.1213-1226

2015

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Iterative Most Likely Oriented Point Registration

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.178-185

2014

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Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9902, p.133-141

2016

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Sequential epiretinal stimulation improves discrimination in simple shape discrimination tasks only

Journal of neural engineering, 2022-06, Vol.19 (3), p.36033

2022

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Deep embeddings for novelty detection in myopathy

Computers in biology and medicine, 2019-02, Vol.105, p.46-53

2019

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Pattern of muscle involvement in inclusion body myositis: a sonographic study

Clinical and experimental rheumatology, 2018-11, Vol.36 (6), p.996

2018

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Ultrasound image analysis for myopathy detection

2016 23rd International Conference on Pattern Recognition (ICPR), 2016, p.1461-1465

2016

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Embedded clutter reduction and face detection algorithms for a visual prosthesis

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.411-414

2016

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Minimally invasive registration for computer-assisted orthopedic surgery: combining tracked ultrasound and bone surface points via the P-IMLOP algorithm

International journal for computer assisted radiology and surgery, 2015-06, Vol.10 (6), p.761-771

2015

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Face Detection and Object Recognition for a Retinal Prosthesis

Computer Vision – ACCV 2016 Workshops, p.303-313

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Elastography Using Multi-Stream GPU: An Application to Online Tracked Ultrasound Elastography, In-Vivo and the da Vinci Surgical System: e115881

PloS one, 2014-12, Vol.9 (12)

2014

Volltextzugriff (PDF)

Perception of Dynamic Displays by People with Argus® II Retinal Prostheses

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023, p.1-4

2023

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Machine Learning Methods for 1D Ultrasound Breast Cancer Screening

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, p.711-715

2017

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Active Multispectral Illumination and Image Fusion for Retinal Microsurgery

Information Processing in Computer-Assisted Interventions, p.12-22

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Erratum: Iterative Most Likely Oriented Point Registration

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, p.E1-E1

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Test of a Web-Based Program to Improve Adherence to HIV Medications

AIDS and behavior, 2013-11, Vol.17 (9), p.2963-2976

2013

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Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO

Ecology letters, 2011-04, Vol.14 (4), p.349-357

2011

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Transformation for health: a framework for conceptualizing health behaviors in vulnerable populations

The Nursing clinics of North America, 2008-09, Vol.43 (3), p.381-395

2008

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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

Iterative most-likely point registration (IMLP): a robust algorithm for computing optimal shape alignment

Automated detection of erythema migrans and other confounding skin lesions via deep learning

The deformable most-likely-point paradigm

Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System

Generalized iterative most likely oriented-point (G-IMLOP) registration

Iterative Most Likely Oriented Point Registration

Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm

Sequential epiretinal stimulation improves discrimination in simple shape discrimination tasks only

Deep embeddings for novelty detection in myopathy

Pattern of muscle involvement in inclusion body myositis: a sonographic study

Ultrasound image analysis for myopathy detection

Embedded clutter reduction and face detection algorithms for a visual prosthesis

Minimally invasive registration for computer-assisted orthopedic surgery: combining tracked ultrasound and bone surface points via the P-IMLOP algorithm

Face Detection and Object Recognition for a Retinal Prosthesis

Elastography Using Multi-Stream GPU: An Application to Online Tracked Ultrasound Elastography, In-Vivo and the da Vinci Surgical System: e115881

Perception of Dynamic Displays by People with Argus® II Retinal Prostheses

Machine Learning Methods for 1D Ultrasound Breast Cancer Screening

Active Multispectral Illumination and Image Fusion for Retinal Microsurgery

Erratum: Iterative Most Likely Oriented Point Registration

Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO2

Test of a Web-Based Program to Improve Adherence to HIV Medications

Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO

Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO2: C fluxes belowground and long-term FACE productivity

Transformation for health: a framework for conceptualizing health behaviors in vulnerable populations

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