Yipeng Hu

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Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation pdf

Tom Vercauteren, Nooshin Ghavami, Yipeng Hu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

T. Vercauteren, J. Noble, Qianye Yang, 2020, MICCAI.

Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images

Nooshin Ghavami, Yipeng Hu, Ester Bonmati, 2018, Journal of medical imaging.

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

Dean C. Barratt, Henkjan J. Huisman, Yipeng Hu, 2017, Medical Image Anal..

SHOULD WE AIM FOR THE CENTRE OF AN MRI PROSTATE LESION? CORRELATION BETWEEN MPMRI AND 3‐DIMENSIONAL 5MM TRANSPERINEAL PROSTATE MAPPING BIOPSIES FROM THE PROMIS TRIAL: MP38‐07

H. Ahmed, S. Punwani, D. Barratt, 2017 .

An Adapted UNet Convolutional Neural Network Architecture for Automatic Prostate MRI Segmentation

N. Ghavami, D. Barratt, Yipeng Hu, 2018 .

False Positive Multiparametric Magnetic Resonance Imaging Phenotypes in the Biopsy-naïve Prostate: Are They Distinct from Significant Cancer-associated Lesions? Lessons from PROMIS

C. Parker, H. Ahmed, A. Freeman, 2020, European urology.

Statistical Deformation Model: Theory and Methods

X. Zhuang, Yipeng Hu, 2017 .

Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2016, CARE@MICCAI.

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

Stuart A. Taylor, Mark A. Pinnock, D. Barratt, 2022, BMJ Open.

Accuracy of Transperineal Targeted Prostate Biopsies, Visual Estimation and Image Fusion in Men Needing Repeat Biopsy in the PICTURE Trial

D. Hawkes, H. Ahmed, A. Freeman, 2018, The Journal of urology.

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

J. Noble, A. Papageorghiou, Qianye Yang, 2022, International Journal of Computer Assisted Radiology and Surgery.

Learn2Reg - The Challenge

K. Murphy, B. Ginneken, M. Heinrich, 2020 .

The SmartTarget Biopsy Trial: A Prospective, Within-person Randomised, Blinded Trial Comparing the Accuracy of Visual-registration and Magnetic Resonance Imaging/Ultrasound Image-fusion Targeted Biopsies for Prostate Cancer Risk Stratification

Ian A. Donaldson, D. Hawkes, H. Ahmed, 2019, European urology.

Can Us elastography help characterise anal sphincter pathology

Damian Tolan, Steve Halligan, Dean C. Barratt, 2008 .

Identifying the index lesion with template prostate mapping biopsies.

H. Ahmed, A. Freeman, Yipeng Hu, 2015, The Journal of urology.

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

H. Ahmed, A. Freeman, D. Barratt, 2014, European urology.

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions

D. Hawkes, D. Barratt, Yipeng Hu, 2016, MICCAI.

Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data

D. Barratt, Yipeng Hu, T. Ungi, 2022, ArXiv.

MP67-11 PROSTATE IMAGING (MULTI-PARAMETRIC MRI AND PROSTATE HISTOSCANNING™) COMPARED TO TRANSPERINEAL ULTRASOUND GUIDED BIOPSY FOR SIGNIFICANT PROSTATE CANCER RISK EVALUATION- THE PICTURE STUDY

H. Ahmed, A. Freeman, S. Punwani, 2014 .

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Richard E. Fan, G. Sonn, M. Rusu, 2022, Medical Image Anal..

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

Shaheer U. Saeed, V. Prisacariu, H. Huisman, 2022, ArXiv.

Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration

D. Barratt, Yipeng Hu, Zachary Baum, 2022, ASMUS@MICCAI.

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

D. Atkinson, Tom Kamiel Magda Vercauteren, S. Punwani, 2022, IEEE Transactions on Medical Imaging.

A review of artificial intelligence in prostate cancer detection on imaging

Richard E. Fan, J. Brooks, G. Sonn, 2022, Therapeutic advances in urology.

Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction

C. Wheeler-Kingshott, Yipeng Hu, A. Walden, 2022, ASMUS@MICCAI.

Active learning using adaptable task-based prioritisation

Shaheer U. Saeed, Mark A. Pinnock, Stephen P. Pereira, 2022, ArXiv.

MONAI: An open-source framework for deep learning in healthcare

Mohammad Zalbagi Darestani, Paul F. Jaeger, Brad W. Genereaux, 2022, ArXiv.

Meta-Learning Initializations for Interactive Medical Image Registration

D. Barratt, Yipeng Hu, Zachary Michael Cieman Baum, 2022, IEEE Transactions on Medical Imaging.

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

Yipeng Hu, Nooshin Ghavami, Ester Bonmati, 2019, Medical Image Anal..

Strategising template-guided needle placement for MR-targeted prostate biopsy

Shaheer U. Saeed, M. Clarkson, D. Barratt, 2022, CaPTion@MICCAI.

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Philip H. S. Torr, G. Sonn, M. Rusu, 2022, MICCAI.

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Dean C. Barratt, Henkjan J. Huisman, Nooshin Ghavami, 2018, MICCAI.

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

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2018, IEEE Transactions on Medical Imaging.

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks pdf

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, CMMI/RAMBO/SWITCH@MICCAI.

Computer Methods and Programs in Biomedicine NiftyNet: a deep-learning platform for medical imaging

Parashkev Nachev, M. Jorge Cardoso, Sébastien Ourselin, 2022 .

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

Yipeng Hu, Dean C Barratt, David J Hawkes, 2012, BJU international.

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

Danail Stoyanov, Yipeng Hu, Joseph Jacob, 2020, Nat. Mach. Intell..

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease pdf

Yipeng Hu, Brian J. Bartholmai, Wing Keung Cheung, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

The accuracy of different biopsy strategies for the detection of clinically important prostate cancer: a computer simulation.

D. Hawkes, H. Ahmed, C. Moore, 2012, The Journal of urology.

The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy

Yipeng Hu, Jan van der Meulen, Dean Barratt, 2017, British Journal of Cancer.

Characterizing clinically significant prostate cancer using template prostate mapping biopsy.

Yipeng Hu, Hashim Uddin Ahmed, Dean C Barratt, 2011, The Journal of urology.

The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy

H. Ahmed, A. Freeman, S. Punwani, 2017, British Journal of Cancer.

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation

T. Vercauteren, Qianye Yang, Yunguan Fu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2011, IEEE Transactions on Medical Imaging.

A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2008, MICCAI.

Weakly-supervised convolutional neural networks for multimodal image registration

Sébastien Ourselin, Marc Modat, Dean C. Barratt, 2018, Medical Image Anal..

An evaluation of irreversible electroporation thresholds in human prostate cancer and potential correlations to physiological measurements

R. E. Neal, H. Ahmed, C. Arena, 2017, APL bioengineering.

The PICTURE study -- prostate imaging (multi-parametric MRI and Prostate HistoScanning™) compared to transperineal ultrasound guided biopsy for significant prostate cancer risk evaluation.

Yipeng Hu, Dean Barratt, Shonit Punwani, 2014, Contemporary clinical trials.

NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics

Sébastien Ourselin, Zeike A. Taylor, Marc Modat, 2014, International Journal of Computer Assisted Radiology and Surgery.

Image quality assessment for closed-loop computer-assisted lung ultrasound

D. Hawkes, C. Wheeler-Kingshott, D. Barratt, 2020, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling.

MR to ultrasound registration for image-guided prostate interventions

Zeike A. Taylor, David J. Hawkes, Dean C. Barratt, 2012, Medical Image Anal..

MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2009, MICCAI.

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

Yipeng Hu, Matthew J. Clarkson, João Ramalhinho, 2021, International Journal of Computer Assisted Radiology and Surgery.

Immunohistochemical biomarker validation in highly selective needle biopsy microarrays derived from mpMRI‐characterized prostates

D. Hawkes, H. Ahmed, A. Freeman, 2018, The Prostate.

Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2017, IEEE Transactions on Biomedical Engineering.

DDPM with Variance Schedule Resampling Model The denoising diffusion probabilistic models ( DDPM ) [

Shaheer U. Saeed, Yunguan Fu, M. Clarkson, 2023 .

The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation

S. Punwani, Qianye Yang, D. Barratt, 2022, AMAI@MICCAI.

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

Yipeng Hu, Dean Barratt, Clare Allen, 2013, BJU international.

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Machine Learning for Biomedical Imaging.

FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning pdf

Victor Adrian Prisacariu, Henkjan Huisman, Dean Barratt, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

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

Yipeng Hu, Dean C Barratt, Zachary M C Baum, 2021, Medical Image Anal..

Multimodality Biomedical Image Registration using Free Point Transformer Networks pdf

Dean C. Barratt, Yipeng Hu, Zachary M. C. Baum, 2020, ASMUS/PIPPI@MICCAI.

Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes pdf

Zeike A. Taylor, Dean C. Barratt, Yipeng Hu, 2020, MICCAI.

Conditional Segmentation in Lieu of Image Registration pdf

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2019, MICCAI.

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Dean C. Barratt, J. Alison Noble, Nooshin Ghavami, 2018, MICCAI.

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

Marc Modat, Dean C. Barratt, J. Alison Noble, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion

Shaheer U. Saeed, S. Punwani, Qianye Yang, 2023, MIDL.

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

Lianghao Han, Yipeng Hu, Ester Bonmati, 2018, Medical physics.

A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists

D. Hawkes, A. Rosenfeld, H. Ahmed, 2020, Scientific Reports.

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

B. Trock, G. Sonn, A. Freeman, 2021, Prostate Cancer and Prostatic Diseases.

Biomechanical modeling constrained surface-based image registration for prostate MR guided TRUS biopsy.

Nico Karssemeijer, Yipeng Hu, Dean Barratt, 2015, Medical physics.

Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics

Sébastien Ourselin, Zeike A. Taylor, David J. Hawkes, 2015, International Journal of Computer Assisted Radiology and Surgery.

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

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2015, Medical Image Anal..

Image quality assessment for machine learning tasks using meta-reinforcement learning

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Medical Image Anal..

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

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2021, IEEE Transactions on Medical Imaging.

More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation pdf

Danail Stoyanov, Yipeng Hu, Matthew J. Clarkson, 2019, DART/MIL3ID@MICCAI.

Non-rigid Medical Image Registration using Physics-informed Neural Networks

Shaheer U. Saeed, Z. Taylor, D. Barratt, 2023, IPMI.

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network

Tom Vercauteren, Dean C. Barratt, Jan D'hooge, 2017, Journal of medical imaging.

Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis

Yang Liu, J. Alison Noble, Yipeng Hu, 2020, ASMUS/PIPPI@MICCAI.

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Richard E. Fan, G. Sonn, M. Rusu, 2022, Medical Image Analysis.

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

D. Hawkes, Yipeng Hu, J. Hurst, 2020, Nature Machine Intelligence.

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

Daniel C. Alexander, N. Oxtoby, Yipeng Hu, 2023, ArXiv.

Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia

Yipeng Hu, Harry T. Mason, Lorenzo Cristoni, 2021, ASMUS@MICCAI.

Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes

Qianye Yang, Yipeng Hu, A. Young, 2023, Scientific reports.

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Tom Kamiel Magda Vercauteren, M. Clarkson, D. Barratt, 2022, arXiv.org.

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Tom Kamiel Magda Vercauteren, M. Clarkson, D. Barratt, 2023, ArXiv.

DeepReg: a deep learning toolkit for medical image registration

Tom Vercauteren, Dean C. Barratt, Yipeng Hu, 2020, J. Open Source Softw..

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

J. Noble, A. Papageorghiou, Qianye Yang, 2022, International Journal of Computer Assisted Radiology and Surgery.

Impact of region contouring variability on image-based focal therapy evaluation

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2016, SPIE Medical Imaging.

Learning to Address Intra-segment Misclassification in Retinal Imaging

Yipeng Hu, Moucheng Xu, Pearse Keane, 2021, MICCAI.

Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes pdf

Victor Adrian Prisacariu, Yipeng Hu, Yunguan Fu, 2021, BMVC.

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Machine Learning for Biomedical Imaging.

Identifying the index lesion with template prostate mapping biopsies.

H. Ahmed, A. Freeman, Yipeng Hu, 2015, The Journal of urology.

Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images

Shaheer U. Saeed, Qianye Yang, V. Stavrinides, 2023, ArXiv.

Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation

D. Atkinson, S. Punwani, Qianye Yang, 2023, ArXiv.

Learning image quality assessment by reinforcing task amenable data selection

Dean C. Barratt, Yipeng Hu, Qianye Yang, 2021, IPMI.

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network

J. D’hooge, Tom Kamiel Magda Vercauteren, D. Barratt, 2017, ArXiv.

NiftyNet: a deep-learning platform for medical imaging

M. Modat, P. Nachev, Z. Eaton-Rosen, 2017, Comput. Methods Programs Biomed..

Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors

Daniel C. Alexander, P. Taylor, Yipeng Hu, 2022, ArXiv.

Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans

Yipeng Hu, Ester Bonmati, Eli Gibson, 2020, Physics in medicine and biology.

Polarized electric field-induced drift of spiral waves in discontinuous cardiac media

Yipeng Hu, Yong Wu, Ya Jia, 2023, Chaos, Solitons & Fractals.

Tracing the elimination of reentry spiral waves in defibrillation: Temperature effects

Yipeng Hu, Yong Wu, Yong Wu, 2023, Chaos, Solitons & Fractals.

Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images

Yipeng Hu, Rachael Rodell, Qianye Yang, 2021, MIUA.

Expectation Maximization Pseudo Labels

Daniel C. Alexander, N. Oxtoby, Yipeng Hu, 2023, 2305.01747.

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Daniel C. Alexander, N. Oxtoby, Yipeng Hu, 2022, MICCAI.

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models

Shaheer U. Saeed, Yunguan Fu, M. Clarkson, 2023, Machine Learning for Biomedical Imaging.

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

Mark A. Pinnock, D. Barratt, Yipeng Hu, 2023, International Journal of Computer Assisted Radiology and Surgery.

Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2017, MICCAI.

Adaptable image quality assessment using meta-reinforcement learning of task amenability

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2021, ASMUS@MICCAI.

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

D. Barratt, Yipeng Hu, T. Dowrick, 2023, IEEE Transactions on Biomedical Engineering.

Characterizing clinically significant prostate cancer using template prostate mapping biopsy.

D. Hawkes, H. Ahmed, A. Freeman, 2011, The Journal of urology.

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images

Daniel Rueckert, Yipeng Hu, Akshay Asthana, 2014, 2014 22nd International Conference on Pattern Recognition.

An evaluation of irreversible electroporation thresholds in human prostate cancer and potential correlations to physiological measurements

R. E. Neal, H. Ahmed, C. Arena, 2017, APL bioengineering.

Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2021, ASMUS@MICCAI.

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, MICCAI.

An unsupervised learning approach to ultrasound strain elastography with spatio-temporal consistency

Tom Kamiel Magda Vercauteren, Yipeng Hu, R. Delaunay, 2021, Physics in medicine and biology.

Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation

Dean C. Barratt, Yipeng Hu, Steve Bandula, 2021, Medical Imaging.