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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Australasian physical & engineering sciences in medicine, 2020-06, Vol.43 (2), p.635-640

2020

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Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm

Medical physics (Lancaster), 2015-10, Vol.42 (10), p.6090-6097

2015

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Dedicated 3D photoacoustic breast imaging

Medical physics (Lancaster), 2013-11, Vol.40 (11), p.113301-n/a

2013

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Biomedical Image Processing

1. Aufl., 2011

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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

IEEE transactions on medical imaging, 2019-03, Vol.38 (3), p.675-685

2019

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IEEE_Xplore

elastix: A Toolbox for Intensity-Based Medical Image Registration

IEEE transactions on medical imaging, 2010-01, Vol.29 (1), p.196-205

2010

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IEEE_Xplore

Truncated inception net: COVID-19 outbreak screening using chest X-rays

Australasian physical & engineering sciences in medicine, 2020-09, Vol.43 (3), p.915-925

2020

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Imaging brain microstructure with diffusion MRI: practicality and applications

NMR in biomedicine, 2019-04, Vol.32 (4), p.e3841-n/a

2019

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Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond

IEEE transactions on medical imaging, 2018-03, Vol.37 (3), p.680-692

2018

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IEEE_Xplore

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Medical physics (Lancaster), 2016-04, Vol.43 (4), p.1882-1896

2016

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Performance of today's dual energy CT and future multi energy CT in virtual non‐contrast imaging and in iodine quantification: A simulation study

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.4349-4366

2015

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Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning

IEEE transactions on medical imaging, 2021-04, Vol.40 (4), p.1207-1216

2021

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The development of a population of 4D pediatric XCAT phantoms for imaging research and optimization

Medical physics (Lancaster), 2015-08, Vol.42 (8), p.4719-4726

2015

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A Quantitative Analysis of the Role of Oxygen Tension in FLASH Radiation Therapy

International journal of radiation oncology, biology, physics, 2020-07, Vol.107 (3), p.539-547

2020

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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116276-116276, Article 116276

2020

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Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues

Molecular imaging and biology, 2018-12, Vol.20 (6), p.888-901

2018

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Unsupervised Medical Image Translation with Adversarial Diffusion Models

IEEE transactions on medical imaging, 2023-12, Vol.PP (12), p.1-1

2023

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IEEE_Xplore

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

IEEE transactions on medical imaging, 2017-02, Vol.36 (2), p.674-683

2017

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IEEE_Xplore

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

IEEE transactions on medical imaging, 2021-07, Vol.40 (7), p.1778-1791

2021

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IEEE_Xplore

Optical Coherence Tomography: Technology and Applications

1. Aufl., 2008

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Vision 20/20: Single photon counting x-ray detectors in medical imaging

Medical physics (Lancaster), 2013-10, Vol.40 (10), p.100901-n/a

2013

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Confound modelling in UK Biobank brain imaging

NeuroImage (Orlando, Fla.), 2021-01, Vol.224, p.117002-117002, Article 117002

2021

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A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications

Medical physics (Lancaster), 2014-06, Vol.41 (6), p.064301-n/a

2014

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Dedicated breast computed tomography: Basic aspects

Medical physics (Lancaster), 2015-06, Vol.42 (6Part1), p.2786-2804

2015

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Assessment of potential advantages of relevant ions for particle therapy: A model based study

Medical physics (Lancaster), 2015-02, Vol.42 (2), p.1037-1047

2015

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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm

Dedicated 3D photoacoustic breast imaging

Biomedical Image Processing

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

elastix: A Toolbox for Intensity-Based Medical Image Registration

Truncated inception net: COVID-19 outbreak screening using chest X-rays

Imaging brain microstructure with diffusion MRI: practicality and applications

Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Performance of today's dual energy CT and future multi energy CT in virtual non‐contrast imaging and in iodine quantification: A simulation study

Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning

The development of a population of 4D pediatric XCAT phantoms for imaging research and optimization

A Quantitative Analysis of the Role of Oxygen Tension in FLASH Radiation Therapy

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues

Unsupervised Medical Image Translation with Adversarial Diffusion Models

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

Optical Coherence Tomography: Technology and Applications

Vision 20/20: Single photon counting x-ray detectors in medical imaging

Confound modelling in UK Biobank brain imaging

A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications

Dedicated breast computed tomography: Basic aspects

Assessment of potential advantages of relevant ions for particle therapy: A model based study

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