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Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1st Edition 2021, 2021

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Simplifying Medical Ultrasound: Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1, 2022

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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 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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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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Label-driven weakly-supervised learning for multimodal deformable image registration

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1070-1074

2018

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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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Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.506-514

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Prostate Cancer Risk Inflation as a Consequence of Image-targeted Biopsy of the Prostate: A Computer Simulation Study

European urology, 2014-03, Vol.65 (3), p.628-634

2014

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The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Nature machine intelligence, 2020-06, Vol.2 (6), p.298-300

2020

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The Accuracy of Different Biopsy Strategies for the Detection of Clinically Important Prostate Cancer: A Computer Simulation

The Journal of urology, 2012-09, Vol.188 (3), p.974-980

2012

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A review of artificial intelligence in prostate cancer detection on imaging

Therapeutic Advances in Urology, 2022, Vol.14, p.17562872221128791

2022

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Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver

International journal for computer assisted radiology and surgery, 2021-07, Vol.16 (7), p.1151-1160

2021

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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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Three-Dimensional “Star of David”-Shaped Fullerene (C60) Microstructures: Controlled Synthesis, Photoluminescence, and Photoelectrochemical Properties

ACS applied electronic materials, 2020-07, Vol.2 (7), p.2010-2016

2020

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Image‐directed, tissue‐preserving focal therapy of prostate cancer: a feasibility study of a novel deformable magnetic resonance‐ultrasound (MR‐US) registration system

BJU international, 2013-09, Vol.112 (5), p.594-601

2013

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Task model-specific operator skill assessment in routine fetal ultrasound scanning

International journal for computer assisted radiology and surgery, 2022-08, Vol.17 (8), p.1437-1444

2022

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Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models

Prostate cancer and prostatic diseases, 2021-12, Vol.24 (4), p.1028-1031

2021

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The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy

International journal for computer assisted radiology and surgery, 2024, Vol.19 (6), p.1003-1012

2024

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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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Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol

BMJ open, 2022-05, Vol.12 (5), p.e053204-e053204

2022

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Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT

International journal for computer assisted radiology and surgery, 2022-08, Vol.17 (8), p.1461-1468

2022

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Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance

Journal of big data, 2024-12, Vol.11 (1), p.104-30, Article 104

2024

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Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

IEEE transactions on medical imaging, 2011-11, Vol.30 (11), p.1887-1900

2011

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Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Simplifying Medical Ultrasound: Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Weakly-supervised convolutional neural networks for multimodal image registration

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

Characterizing Clinically Significant Prostate Cancer Using Template Prostate Mapping Biopsy

Label-driven weakly-supervised learning for multimodal deformable image registration

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

MR to ultrasound registration for image-guided prostate interventions

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Prostate Cancer Risk Inflation as a Consequence of Image-targeted Biopsy of the Prostate: A Computer Simulation Study

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

The Accuracy of Different Biopsy Strategies for the Detection of Clinically Important Prostate Cancer: A Computer Simulation

A review of artificial intelligence in prostate cancer detection on imaging

Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver

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

Three-Dimensional “Star of David”-Shaped Fullerene (C60) Microstructures: Controlled Synthesis, Photoluminescence, and Photoelectrochemical Properties

Image‐directed, tissue‐preserving focal therapy of prostate cancer: a feasibility study of a novel deformable magnetic resonance‐ultrasound (MR‐US) registration system

Task model-specific operator skill assessment in routine fetal ultrasound scanning

Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models

The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy

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

Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol

Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT

Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

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