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Deep metric learning for otitis media classification

Medical image analysis, 2021-07, Vol.71, p.102034-102034, Article 102034

2021

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Markerless motion tracking and correction for PET, MRI, and simultaneous PET/MRI

PloS one, 2019-04, Vol.14 (4), p.e0215524

2019

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Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Frontiers in physiology, 2021-06, Vol.12, p.694945-694945

2021

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Introduction to Medical Image Analysis

1st ed. 2020., 2020

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Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty

Laryngoscope investigative otolaryngology, 2024-02, Vol.9 (1), p.e1199-n/a

2024

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Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study

Frontiers in neurology, 2021-01, Vol.11, p.610614-610614

2021

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A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.2974-2982

2022

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Motion Tracking in Narrow Spaces: A Structured Light Approach

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 2010, Vol.13 (Pt 3), p.253-260

2010

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Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images

Computerized medical imaging and graphics, 2024-04, Vol.113, p.102343-102343, Article 102343

2024

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Quantifying the Financial Savings of Motion Correction in Brain MRI: A Model‐Based Estimate of the Costs Arising From Patient Head Motion and Potential Savings From Implementation of Motion Correction

Journal of magnetic resonance imaging, 2020-09, Vol.52 (3), p.731-738

2020

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Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI

Magnetic resonance in medicine, 2022-02, Vol.87 (2), p.629-645

2022

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Motion Tracking for Medical Imaging: A Nonvisible Structured Light Tracking Approach

IEEE transactions on medical imaging, 2012-01, Vol.31 (1), p.79-87

2012

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Markov Random Field Surface Reconstruction

IEEE transactions on visualization and computer graphics, 2010-07, Vol.16 (4), p.636-646

2010

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Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements

International journal of pediatric otorhinolaryngology, 2022-02, Vol.153, p.111034-111034, Article 111034

2022

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Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera

Image Analysis, 2015, Vol.9127, p.492-503

2015

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List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

IEEE transactions on medical imaging, 2013-02, Vol.32 (2), p.200-209

2013

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A framework for geometry acquisition, 3-D printing, simulation, and measurement of head-related transfer functions with a focus on hearing-assistive devices

Computer aided design, 2016-06, Vol.75-76, p.39-46

2016

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Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

2015, 2015

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NUDF: Neural Unsigned Distance Fields for High Resolution 3D Medical Image Segmentation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease

PRedictive Intelligence in MEdicine, 2018, p.1-8

2018

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A multiscale imaging and modelling dataset of the human inner ear

Scientific data, 2017-09, Vol.4 (1), p.170132-170132, Article 170132

2017

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Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

2015, 2015

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3D facial landmarks: Inter-operator variability of manual annotation

BMC medical imaging, 2014-10, Vol.14 (1), p.35-35, Article 35

2014

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Dictionary Based Segmentation in Volumes

Image Analysis, 2015, Vol.9127, p.504-515

2015

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Patient-specific estimation of detailed cochlear shape from clinical CT images

International journal for computer assisted radiology and surgery, 2018-03, Vol.13 (3), p.389-396

2018

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Deep metric learning for otitis media classification

Markerless motion tracking and correction for PET, MRI, and simultaneous PET/MRI

Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Introduction to Medical Image Analysis

Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty

Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study

A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements

Motion Tracking in Narrow Spaces: A Structured Light Approach

Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images

Quantifying the Financial Savings of Motion Correction in Brain MRI: A Model‐Based Estimate of the Costs Arising From Patient Head Motion and Potential Savings From Implementation of Motion Correction

Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI

Motion Tracking for Medical Imaging: A Nonvisible Structured Light Tracking Approach

Markov Random Field Surface Reconstruction

Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements

Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera

List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

A framework for geometry acquisition, 3-D printing, simulation, and measurement of head-related transfer functions with a focus on hearing-assistive devices

Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

NUDF: Neural Unsigned Distance Fields for High Resolution 3D Medical Image Segmentation

Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease

A multiscale imaging and modelling dataset of the human inner ear

Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

3D facial landmarks: Inter-operator variability of manual annotation

Dictionary Based Segmentation in Volumes

Patient-specific estimation of detailed cochlear shape from clinical CT images

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