Aris T. Papageorghiou
Orcid: 0000-0001-8143-2232Affiliations:
- University of Oxford, Nuffield Department of Women's & Reproductive Health, UK
According to our database1,
Aris T. Papageorghiou
authored at least 90 papers
between 2011 and 2023.
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Online presence:
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Bibliography
2023
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound.
Medical Image Anal., December, 2023
Medical Image Anal., December, 2023
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging, May, 2023
Machine learning for accurate estimation of fetal gestational age based on ultrasound images.
npj Digit. Medicine, 2023
A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.
Medical Image Anal., 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of The 1st Gaze Meets ML workshop, 2022
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Medical Image Anal., 2021
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.
Medical Image Anal., 2021
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.
Comput. Biol. Medicine, 2021
First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Cybern., 2020
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.
Medical Image Anal., 2020
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.
IEEE Access, 2019
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat.
Medical Image Anal., 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain.
IEEE J. Biomed. Health Informatics, 2016
Learning from redundant but inconsistent reference data: anatomical views and measurements for fetal brain screening.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step.
Medical Image Anal., 2015
Learning-based prediction of gestational age from ultrasound images of the fetal brain.
Medical Image Anal., 2015
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging, 2014
Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation.
Comput. Medical Imaging Graph., 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Oriented feature-based coupled ellipse fitting for soft tissue quantification in ultrasound images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Integration of Local and Global Features for Anatomical Object Detection in Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Regularised feature-based fuzzy connectedness segmentation of ultrasound images for fetal soft tissue quantification across gestation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Image Analysis Using Machine Learning: Anatomical Landmarks Detection in Fetal Ultrasound Images.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference, 2012
2011
Local Phase-Based Fuzzy Connectedness Segmentation of Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011