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Ultrasound image segmentation: a survey

IEEE transactions on medical imaging, 2006-08, Vol.25 (8), p.987-1010

2006

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Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a “coffee-break”

European journal of radiology, 2018-04, Vol.101, p.82-86

2018

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OC-0068: Can atlas-based auto-contouring ever be perfect?

Radiotherapy and oncology, 2016-04, Vol.119, p.S30-S31

2016

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Segmentation of ultrasound images––multiresolution 2D and 3D algorithm based on global and local statistics

Pattern recognition letters, 2003-02, Vol.24 (4), p.779-790

2003

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Qualité ou quantité ? Performance des méthodes de sélection d’atlas de délinéation automatique pour la planification en radiothérapie

Cancer radiothérapie, 2016-10, Vol.20 (6-7), p.747-747

2016

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PO-1603 Evaluating the geometric accuracy of the constructed Mid-P CT using mathematically deformed phantoms

Radiotherapy and oncology, 2022-05, Vol.170, p.S1388-S1389

2022

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PO-1846 Experiments to validate a Mid-Position workflow: Results with two independent implementations

Radiotherapy and oncology, 2021-08, Vol.161, p.S1573-S1574

2021

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Phase-Based Level Set Segmentation of Ultrasound Images

IEEE journal of biomedical and health informatics, 2011-01, Vol.15 (1), p.138-147

2011

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Interactive contouring through contextual deep learning

Medical physics (Lancaster), 2021-11, Vol.48 (11), p.7563-7563

2021

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PO-1676 Validating CBCT to CT registration QC using an AI generated dataset

Radiotherapy and oncology, 2021-08, Vol.161, p.S1399-S1401

2021

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PO-1661 Investigation into the impact of AI-enhanced CBCTs on CBCT-CT deformable image registration

Radiotherapy and oncology, 2021-08, Vol.161, p.S1382-S1383

2021

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PD-0890 A novel approach to validate the accuracy of Mid-Position images calculated from 4DCT data

Radiotherapy and oncology, 2021-08, Vol.161, p.S728-S729

2021

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PO-1665 Comparison of mid-position CT reconstruction systems

Radiotherapy and oncology, 2021-08, Vol.161, p.S1387-S1388

2021

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PD-0068 Investigating intensity augmentation for deep learning contouring on prostate contrast-enhanced CT

Radiotherapy and oncology, 2022-05, Vol.170, p.S41-S43

2022

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PD-0064 Multicenter comparison of measures for quantitative evaluation of automatic contouring

Radiotherapy and oncology, 2022-05, Vol.170, p.S37-S38

2022

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Implicit active contours for ultrasound images segmentation driven by phase information and local maximum likelihood

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011, p.630-635

2011

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Inter-Observer Variation In Tumor Volume Delineation Of Low Grade Gliomas, A Multi-Institutional Contouring Study

International journal of radiation oncology, biology, physics, 2020-11, Vol.108 (3), p.e710-e710

2020

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P21 Pulmonary nodules: assessing the repeatability of imaging biomarkers of malignancy

Thorax, 2016-12, Vol.71 (Suppl 3), p.A94-A95

2016

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S101 A comparison of the imaging features of early stage primary lung cancer in patients treated with surgery, sabr and microwave ablation

Thorax, 2017-12, Vol.72 (Suppl 3), p.A61

2017

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On the Choice of Band-Pass Quadrature Filters

Journal of mathematical imaging and vision, 2004-07, Vol.21 (1), p.53-80

2004

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Efficient numerical schemes for gradient vector flow

2009 16th IEEE International Conference on Image Processing (ICIP), 2009, p.4057-4060

Boukerroui, D.

2009

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A multiparametric and multiresolution segmentation algorithm of 3D ultrasonic data

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2001-01, Vol.48 (1), p.64-77

2001

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Ultrasound image segmentation using local statistics with an adaptive scale selection

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, p.1096-1099

2012

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Velocity Estimation in Ultrasound Images: A Block Matching Approach

Information Processing in Medical Imaging, 2003-01, Vol.18, p.586-598

2003

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People detection in heavy machines applications

2013 IEEE Conference on Cybernetics and Intelligent Systems (CIS), 2013, p.18-23

2013

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Ultrasound image segmentation: a survey

Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a “coffee-break”

OC-0068: Can atlas-based auto-contouring ever be perfect?

Segmentation of ultrasound images––multiresolution 2D and 3D algorithm based on global and local statistics

Qualité ou quantité ? Performance des méthodes de sélection d’atlas de délinéation automatique pour la planification en radiothérapie

PO-1603 Evaluating the geometric accuracy of the constructed Mid-P CT using mathematically deformed phantoms

PO-1846 Experiments to validate a Mid-Position workflow: Results with two independent implementations

Phase-Based Level Set Segmentation of Ultrasound Images

Interactive contouring through contextual deep learning

PO-1676 Validating CBCT to CT registration QC using an AI generated dataset

PO-1661 Investigation into the impact of AI-enhanced CBCTs on CBCT-CT deformable image registration

PD-0890 A novel approach to validate the accuracy of Mid-Position images calculated from 4DCT data

PO-1665 Comparison of mid-position CT reconstruction systems

PD-0068 Investigating intensity augmentation for deep learning contouring on prostate contrast-enhanced CT

PD-0064 Multicenter comparison of measures for quantitative evaluation of automatic contouring

Implicit active contours for ultrasound images segmentation driven by phase information and local maximum likelihood

Inter-Observer Variation In Tumor Volume Delineation Of Low Grade Gliomas, A Multi-Institutional Contouring Study

P21 Pulmonary nodules: assessing the repeatability of imaging biomarkers of malignancy

S101 A comparison of the imaging features of early stage primary lung cancer in patients treated with surgery, sabr and microwave ablation

On the Choice of Band-Pass Quadrature Filters

Efficient numerical schemes for gradient vector flow

A multiparametric and multiresolution segmentation algorithm of 3D ultrasonic data

Ultrasound image segmentation using local statistics with an adaptive scale selection

Velocity Estimation in Ultrasound Images: A Block Matching Approach

People detection in heavy machines applications

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