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Regression forests for efficient anatomy detection and localization in computed tomography scans

Medical image analysis, 2013-12, Vol.17 (8), p.1293-1303

2013

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Shape-based hand recognition

IEEE transactions on image processing, 2006-07, Vol.15 (7), p.1803-1815

2006

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Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

IEEE transactions on medical imaging, 2010-01, Vol.29 (1), p.77-95

2010

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Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 2012, Vol.15 (Pt 3), p.590-598

2012

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Machine vision for real-time intraoperative anatomical guidance: a proof-of-concept study in endoscopic pituitary surgery

Brain & spine, 2021, Vol.1, p.100602, Article 100602

2021

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SU‐E‐T‐486: Evaluation of the Fisher‐Kolmogorov Glioma Growth Model for Radiotherapy Target Delineation

Medical Physics, 2013-06, Vol.40 (6), p.317-317

2013

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A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation

Computers & graphics, 2011-04, Vol.35 (2), p.431-440

2011

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HDF: Heat diffusion fields for polyp detection in CT colonography

Signal processing, 2007-10, Vol.87 (10), p.2407-2416

2007

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SU‐C‐BRB‐05: Accounting for Anisotropic Growth of Glioma in Radiotherapy Planning

Medical Physics, 2012-06, Vol.39 (6), p.3602-3602

2012

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WE‐G‐BRA‐06: Radiotherapy Planning for Glioma Based on a Computational Tumor Growth Model

Medical Physics, 2011-06, Vol.38 (6), p.3827-3827

2011

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Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study

IEEE transactions on medical imaging, 2007-12, Vol.26 (12), p.1649-1656

2007

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OC-0114 Patient specific quality assurance for synthetic CT in MR-only radiotherapy of the abdomen

Radiotherapy and oncology, 2023-05, Vol.182, p.S74-S75

2023

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Fully automated cartilage segmentation of late stage osteoarthritis (KLG4) knees using deep learning with U-net architectures - model specificity is important

Osteoarthritis and cartilage, 2021-04, Vol.29, p.S319-S320

2021

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Agreement and accuracy of femorotibial cartilage morphometry in radiographic knee OA using different training sets for automateddeep learning segmentation - comparison between flash and dess MRI

Osteoarthritis and cartilage, 2021-04, Vol.29, p.S334

2021

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Effect of training set sample size on the agreement, accuracy, and sensitivity to change of automated U-net-based cartilage thickness analysis

Osteoarthritis and cartilage, 2021-04, Vol.29, p.S326-S327

2021

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Accuracy and repeatability of automated femorotibial cartilage segmentation using convolutional neural networks - data from the osteoarthritis initiative healthy reference cohort

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S273-S274

2020

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A deep-learning-based technique for the quantitative analysis of femorotibial osteophyte and bone volumes -data from the osteoarthritis initiative

Osteoarthritis and cartilage, 2021-04, Vol.29, p.S328-S329

2021

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PD-0820 Explainability of deep learning-based HPV status prediction in oropharyngeal cancer

Radiotherapy and oncology, 2022-05, Vol.170, p.S738-S739

2022

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WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity

IEEE transactions on pattern analysis and machine intelligence, 2013-09, Vol.35 (9), p.2284-2297

2013

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Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S383-S384

2019

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Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges : Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers

2012

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Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.101-110

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Monitoring slowly evolving tumors

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, Vol.2008, p.812-815

2008

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ViTBIS: Vision Transformer for Biomedical Image Segmentation

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.34-45

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Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity

IEEE transactions on medical imaging, 2012-12, Vol.31 (12), p.2278-2289

2012

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Regression forests for efficient anatomy detection and localization in computed tomography scans

Shape-based hand recognition

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans

Machine vision for real-time intraoperative anatomical guidance: a proof-of-concept study in endoscopic pituitary surgery

SU‐E‐T‐486: Evaluation of the Fisher‐Kolmogorov Glioma Growth Model for Radiotherapy Target Delineation

A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation

HDF: Heat diffusion fields for polyp detection in CT colonography

SU‐C‐BRB‐05: Accounting for Anisotropic Growth of Glioma in Radiotherapy Planning

WE‐G‐BRA‐06: Radiotherapy Planning for Glioma Based on a Computational Tumor Growth Model

Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study

OC-0114 Patient specific quality assurance for synthetic CT in MR-only radiotherapy of the abdomen

Fully automated cartilage segmentation of late stage osteoarthritis (KLG4) knees using deep learning with U-net architectures - model specificity is important

Agreement and accuracy of femorotibial cartilage morphometry in radiographic knee OA using different training sets for automateddeep learning segmentation - comparison between flash and dess MRI

Effect of training set sample size on the agreement, accuracy, and sensitivity to change of automated U-net-based cartilage thickness analysis

Accuracy and repeatability of automated femorotibial cartilage segmentation using convolutional neural networks - data from the osteoarthritis initiative healthy reference cohort

A deep-learning-based technique for the quantitative analysis of femorotibial osteophyte and bone volumes -data from the osteoarthritis initiative

PD-0820 Explainability of deep learning-based HPV status prediction in oropharyngeal cancer

WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity

Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network

Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges : Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Monitoring slowly evolving tumors

ViTBIS: Vision Transformer for Biomedical Image Segmentation

Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity

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