Yipeng Hu

Orcid: 0000-0003-4902-0486

According to our database1, Yipeng Hu authored at least 101 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker.
IEEE Trans. Biomed. Eng., March, 2024

Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation.
Medical Image Anal., January, 2024

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images.
CoRR, 2024

Semi-weakly-supervised neural network training for medical image registration.
CoRR, 2024

2023
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration.
Medical Image Anal., December, 2023

Meta-Learning Initializations for Interactive Medical Image Registration.
IEEE Trans. Medical Imaging, March, 2023

Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker.
CoRR, 2023

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models.
CoRR, 2023

A data-centric deep learning approach to airway segmentation.
CoRR, 2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR, 2023

Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy.
Int. J. Comput. Assist. Radiol. Surg., 2023

SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.
Proceedings of the Medical Imaging with Deep Learning, 2023

Spatial Correspondence between Graph Neural Network-Segmented Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Non-rigid Medical Image Registration using Physics-informed Neural Networks.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Cross-Modality Image Registration Using a Training-Time Privileged Third Modality.
IEEE Trans. Medical Imaging, 2022

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks.
IEEE Trans. Medical Imaging, 2022

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Anal., 2022

Image quality assessment for machine learning tasks using meta-reinforcement learning.
Medical Image Anal., 2022

Active learning using adaptable task-based prioritisation.
CoRR, 2022

MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR, 2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR, 2022

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR, 2022

Task model-specific operator skill assessment in routine fetal ultrasound scanning.
Int. J. Comput. Assist. Radiol. Surg., 2022

Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.
Int. J. Comput. Assist. Radiol. Surg., 2022

The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation.
Proceedings of the Applications of Medical Artificial Intelligence, 2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy.
Proceedings of the Cancer Prevention Through Early Detection, 2022

Towards Multi-modal Self-supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Learning Generalized Non-rigid Multimodal Biomedical Image Registration from Generic Point Set Data.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Meta-registration: Learning Test-Time Optimization for Single-Pair Image Registration.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
AI reflections in 2020.
Nat. Mach. Intell., 2021

Real-time multimodal image registration with partial intraoperative point-set data.
Medical Image Anal., 2021

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR, 2021

Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks.
CoRR, 2021

Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver.
Int. J. Comput. Assist. Radiol. Surg., 2021

Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

End-to-end forecasting of needle trajectory in percutaneous ablation.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Image quality assessment for closed-loop computer-assisted lung ultrasound.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Learning to Address Intra-segment Misclassification in Retinal Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Lung Ultrasound Segmentation and Adaptation Between COVID-19 and Community-Acquired Pneumonia.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection.
Proceedings of the Information Processing in Medical Imaging, 2021

Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.
Nat. Mach. Intell., 2020

DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw., 2020

Introduction to Medical Image Registration with DeepReg, Between Old and New.
CoRR, 2020

Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Multimodality Biomedical Image Registration Using Free Point Transformer Networks.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

2019
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 Anal., 2019

Conditional Segmentation in Lieu of Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks.
IEEE Trans. Medical Imaging, 2018

Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Anal., 2018

NiftyNet: a deep-learning platform for medical imaging.
Comput. Methods Programs Biomed., 2018

Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.
IEEE Trans. Biomed. Eng., 2017

Designing image segmentation studies: Statistical power, sample size and reference standard quality.
Medical Image Anal., 2017

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
CoRR, 2017

Label-driven weakly-supervised learning for multimodal deformable image registration.
CoRR, 2017

NiftyNet: a deep-learning platform for medical imaging.
CoRR, 2017

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Impact of region contouring variability on image-based focal therapy evaluation.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016

2015
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.
Medical Image Anal., 2015

Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics.
Int. J. Comput. Assist. Radiol. Surg., 2015

NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics.
Int. J. Comput. Assist. Radiol. Surg., 2015

2014
Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Surface-based prostate registration with biomechanical regularization.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

2012
MR to ultrasound registration for image-guided prostate interventions.
Medical Image Anal., 2012

2011
Modelling Prostate Motion for Data Fusion During Image-Guided Interventions.
IEEE Trans. Medical Imaging, 2011

2010
Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

2009
MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Modelling Prostate Gland Motion for Image-Guided Interventions.
Proceedings of the Biomedical Simulation, 4th International Symposium, 2008


  Loading...