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Weakly-supervised convolutional neural networks for multimodal image registration

Medical image analysis, 2018-10, Vol.49, p.1-13

2018

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Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1822-1834

2018

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Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

Medical image analysis, 2019-12, Vol.58, p.101558-101558, Article 101558

2019

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NiftyNet: a deep-learning platform for medical imaging

Computer methods and programs in biomedicine, 2018-05, Vol.158, p.113-122

2018

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Time conditioning for arbitrary contrast phase generation in interventional computed tomography

Physics in medicine & biology, 2024-05, Vol.69 (11), p.115010

2024

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Meta-Learning Initializations for Interactive Medical Image Registration

IEEE transactions on medical imaging, 2023-03, Vol.42 (3), p.823-833

2023

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Real-time multimodal image registration with partial intraoperative point-set data

Medical image analysis, 2021-12, Vol.74, p.102231-102231, Article 102231

2021

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Characterizing Clinically Significant Prostate Cancer Using Template Prostate Mapping Biopsy

The Journal of urology, 2011-08, Vol.186 (2), p.458-464

2011

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Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

IEEE transactions on biomedical engineering, 2024-03, Vol.71 (3), p.1033-1042

2024

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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Medical image analysis, 2014-02, Vol.18 (2), p.359-373

2014

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Cross-Modality Image Registration Using a Training-Time Privileged Third Modality

IEEE transactions on medical imaging, 2022-11, Vol.41 (11), p.3421-3431

2022

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Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation

Medical image analysis, 2024-01, Vol.91, p.103030-103030, Article 103030

2024

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Focal Therapy: Patients, Interventions, and Outcomes—A Report from a Consensus Meeting

European urology, 2015-04, Vol.67 (4), p.771-777

2015

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Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

Medical image analysis, 2022-11, Vol.82, p.102620-102620, Article 102620

2022

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Prostate cancer segmentation from MRI by a multistream fusion encoder

Medical physics (Lancaster), 2023-09, Vol.50 (9), p.5489-5504

2023

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Designing image segmentation studies: Statistical power, sample size and reference standard quality

Medical image analysis, 2017-12, Vol.42, p.44-59

2017

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Active learning using adaptable task-based prioritisation

Medical image analysis, 2024-07, Vol.95, p.103181-103181, Article 103181

2024

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Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy

International journal for computer assisted radiology and surgery, 2023-08, Vol.18 (8), p.1437-1449

2023

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MR to ultrasound registration for image-guided prostate interventions

Medical image analysis, 2012-04, Vol.16 (3), p.687-703

2012

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Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks

IEEE transactions on medical imaging, 2022-06, Vol.41 (6), p.1311-1319

2022

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A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs

Medical image analysis, 2017-07, Vol.39, p.87-100

2017

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Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Medical image analysis, 2023-12, Vol.90, p.102935-102935, Article 102935

2023

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Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration

Medical image analysis, 2015-12, Vol.26 (1), p.332-344

2015

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Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal magnetic resonance/ultrasound‐guided prostate interventions

Medical physics (Lancaster), 2018-04, Vol.45 (4), p.1408-1414

2018

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A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)‐biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy

BJU international, 2012-09, Vol.110 (6), p.812-820

2012

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Weakly-supervised convolutional neural networks for multimodal image registration

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

NiftyNet: a deep-learning platform for medical imaging

Time conditioning for arbitrary contrast phase generation in interventional computed tomography

Meta-Learning Initializations for Interactive Medical Image Registration

Real-time multimodal image registration with partial intraoperative point-set data

Characterizing Clinically Significant Prostate Cancer Using Template Prostate Mapping Biopsy

Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Cross-Modality Image Registration Using a Training-Time Privileged Third Modality

Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation

Focal Therapy: Patients, Interventions, and Outcomes—A Report from a Consensus Meeting

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

Prostate cancer segmentation from MRI by a multistream fusion encoder

Designing image segmentation studies: Statistical power, sample size and reference standard quality

Active learning using adaptable task-based prioritisation

Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy

MR to ultrasound registration for image-guided prostate interventions

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks

A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration

Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal magnetic resonance/ultrasound‐guided prostate interventions

A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)‐biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy

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