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Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature

Neurologia medico-chirurgica, 2017, Vol.57(10), pp.513-520

2017

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Three-dimensional computer graphics-based ankle morphometry with computerized tomography for total ankle replacement design and positioning

Clinical anatomy (New York, N.Y.), 2014-05, Vol.27 (4), p.659-668

2014

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CLIJ: GPU-accelerated image processing for everyone

Nature methods, 2020-01, Vol.17 (1), p.5

2020

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Region filling and object removal by exemplar-based image inpainting

IEEE transactions on image processing, 2004-09, Vol.13 (9), p.1200-1212

2004

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Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

IEEE transactions on visualization and computer graphics, 2022-01, Vol.28 (1), p.259-269

2022

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IEEE_Xplore

Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs

PloS one, 2013-04, Vol.8 (4), p.e61892-e61892

2013

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Attention gated networks: Learning to leverage salient regions in medical images

Medical image analysis, 2019-04, Vol.53, p.197-207

2019

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Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

IEEE transactions on image processing, 2007-03, Vol.16 (3), p.741-758

2007

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IEEE_Xplore

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Medical image analysis, 2017-12, Vol.42, p.1-13

2017

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A deep learning framework for unsupervised affine and deformable image registration

Medical image analysis, 2019-02, Vol.52, p.128-143

2019

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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Medical image analysis, 2020-07, Vol.63, p.101694-101694, Article 101694

2020

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Large scale deep learning for computer aided detection of mammographic lesions

Medical image analysis, 2017-01, Vol.35, p.303-312

2017

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A Feature-Enriched Completely Blind Image Quality Evaluator

IEEE transactions on image processing, 2015-08, Vol.24 (8), p.2579-2591

2015

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IEEE_Xplore

A survey on active learning and human-in-the-loop deep learning for medical image analysis

Medical image analysis, 2021-07, Vol.71, p.102062-102062, Article 102062

2021

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Image analysis and machine learning in digital pathology: Challenges and opportunities

Medical image analysis, 2016-10, Vol.33, p.170-175

2016

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Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis

IEEE transactions on visualization and computer graphics, 2024-05, Vol.30 (5), p.1-7

2024

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Statistical modeling of complex backgrounds for foreground object detection

IEEE transactions on image processing, 2004-11, Vol.13 (11), p.1459-1472

2004

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IEEE_Xplore

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Medical image analysis, 2019-12, Vol.58, p.101537-101537, Article 101537

2019

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Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Medical image analysis, 2017-08, Vol.40, p.172-183

2017

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Text-Attentional Convolutional Neural Network for Scene Text Detection

IEEE transactions on image processing, 2016-06, Vol.25 (6), p.2529-2541

2016

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IEEE_Xplore

Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

IEEE transactions on image processing, 2018-02, Vol.27 (2), p.964-975

2018

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IEEE_Xplore

Self-supervised learning for medical image analysis using image context restoration

Medical image analysis, 2019-12, Vol.58, p.101539-101539, Article 101539

2019

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Machine learning approaches in medical image analysis: From detection to diagnosis

Medical image analysis, 2016-10, Vol.33, p.94-97

de Bruijne, Marleen

2016

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Real-time soft body dissection simulation with parallelized graph-based shape matching on GPU

Computer methods and programs in biomedicine, 2024-06, Vol.250, p.108171-108171, Article 108171

2024

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3D deeply supervised network for automated segmentation of volumetric medical images

Medical image analysis, 2017-10, Vol.41, p.40-54

2017

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Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature

Three-dimensional computer graphics-based ankle morphometry with computerized tomography for total ankle replacement design and positioning

CLIJ: GPU-accelerated image processing for everyone

Region filling and object removal by exemplar-based image inpainting

Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs

Attention gated networks: Learning to leverage salient regions in medical images

Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

A deep learning framework for unsupervised affine and deformable image registration

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Large scale deep learning for computer aided detection of mammographic lesions

A Feature-Enriched Completely Blind Image Quality Evaluator

A survey on active learning and human-in-the-loop deep learning for medical image analysis

Image analysis and machine learning in digital pathology: Challenges and opportunities

Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis

Statistical modeling of complex backgrounds for foreground object detection

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Text-Attentional Convolutional Neural Network for Scene Text Detection

Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

Self-supervised learning for medical image analysis using image context restoration

Machine learning approaches in medical image analysis: From detection to diagnosis

Real-time soft body dissection simulation with parallelized graph-based shape matching on GPU

3D deeply supervised network for automated segmentation of volumetric medical images

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