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Aris T. Papageorghiou
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- affiliation: University of Oxford, Nuffield Department of Women's & Reproductive Health, UK
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2020 – today
- 2024
- [c71]Mohammad Alsharid, Robail Yasrab, Md. Mostafa Kamal Sarker, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels. ISBI 2024: 1-5 - [c70]Mourad Gridach, Mohammad Alsharid, Jianbo Jiao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio. ISBI 2024: 1-4 - [i14]Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou, J. Alison Noble:
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation. CoRR abs/2408.09931 (2024) - 2023
- [j20]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Medical Image Anal. 90: 102977 (2023) - [j19]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning. Medical Image Anal. 90: 102981 (2023) - [j18]Lok Hin Lee, Elizabeth Bradburn, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou:
Machine learning for accurate estimation of fetal gestational age based on ultrasound images. npj Digit. Medicine 6 (2023) - [j17]Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. IEEE Trans. Medical Imaging 42(5): 1301-1313 (2023) - [c69]Alexander D. Gleed, D. Mishra, V. Chandramohan, Z. Fu, Alice Self, S. Bhatnagar, Aris T. Papageorghiou, J. Alison Noble:
Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors. ISBI 2023: 1-5 - [c68]Mourad Gridach, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation. ISBI 2023: 1-4 - [c67]Qianhui Men, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption. ISBI 2023: 1-5 - [c66]Md. Mostafa Kamal Sarker, Robail Yasrab, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble:
CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound. ISBI 2023: 1-4 - [c65]Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans. ISBI 2023: 1-5 - [c64]He Zhao, Qianhui Men, Alexander D. Gleed, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Video Segmentation with Adaptive Temporal Memory. ASMUS@MICCAI 2023: 3-12 - [c63]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. MICCAI (1) 2023: 216-226 - [c62]Jong Kwon, Jianbo Jiao, Alice Self, Julia Alison Noble, Aris T. Papageorghiou:
A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video. TML4H 2023: 134-146 - [i13]Jianbo Jiao, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, Andrew Zisserman, J. Alison Noble:
Show from Tell: Audio-Visual Modelling in Clinical Settings. CoRR abs/2310.16477 (2023) - [i12]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos. CoRR abs/2311.00469 (2023) - 2022
- [j16]Yipei Wang, Qianye Yang, Lior Drukker, Aris T. Papageorghiou, Yipeng Hu, J. Alison Noble:
Task model-specific operator skill assessment in routine fetal ultrasound scanning. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1437-1444 (2022) - [j15]Mohammad Alsharid, Yifan Cai, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks. Medical Image Anal. 82: 102630 (2022) - [c61]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. ECCV Workshops (3) 2022: 422-436 - [c60]Clare Teng, Lok Hin Lee, Jayne Lander, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves. ETRA 2022: 30:1-30:7 - [c59]Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans. ETRA 2022: 31:1-31:6 - [c58]Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data. Gaze Meets ML 2022: 184-198 - [c57]Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation. ISBI 2022: 1-4 - [c56]Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. ISBI 2022: 1-5 - [c55]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning. MICCAI (8) 2022: 94-103 - [c54]Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding. MICCAI (8) 2022: 104-114 - [c53]Mourad Gridach, Elizaveta Savochkina, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction. ASMUS@MICCAI 2022: 117-127 - [c52]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. MICCAI (4) 2022: 228-237 - [c51]Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Weakly Supervised Captioning of Ultrasound Images. MIUA 2022: 187-198 - [i11]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning. CoRR abs/2207.12833 (2022) - [i10]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. CoRR abs/2208.10642 (2022) - 2021
- [j14]Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging. Comput. Biol. Medicine 135: 104589 (2021) - [j13]Harshita Sharma, Lior Drukker, Pierre Chatelain, Richard Droste, Aris T. Papageorghiou, J. Alison Noble:
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos. Medical Image Anal. 69: 101973 (2021) - [j12]Pak-Hei Yeung, Moska Aliasi, Aris T. Papageorghiou, Monique C. Haak, Weidi Xie, Ana I. L. Namburete:
Learning to map 2D ultrasound images into 3D space with minimal human annotation. Medical Image Anal. 70: 101998 (2021) - [c50]Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry. ICCVW 2021: 3239-3247 - [c49]Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Course-Focused Dual Curriculum For Image Captioning. ISBI 2021: 716-720 - [c48]Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound. ISBI 2021: 1646-1649 - [c47]Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound. ASMUS@MICCAI 2021: 14-24 - [c46]Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound. ASMUS@MICCAI 2021: 129-138 - [c45]Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete:
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. UNSURE/PIPPI@MICCAI 2021: 242-252 - [c44]Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval. MICCAI (8) 2021: 670-679 - [c43]Elizaveta Savochkina, Lok Hin Lee, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction. MIUA 2021: 361-374 - [i9]Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry. CoRR abs/2108.12719 (2021) - 2020
- [j11]Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation. Medical Image Anal. 65: 101762 (2020) - [j10]Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies. IEEE Trans. Cybern. 50(1): 153-163 (2020) - [j9]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. IEEE Trans. Medical Imaging 39(12): 4413-4424 (2020) - [c42]Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, Julia Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. ISBI 2020: 1711-1714 - [c41]Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Representation Learning for Ultrasound Video. ISBI 2020: 1847-1850 - [c40]Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble:
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images. ASMUS/PIPPI@MICCAI 2020: 13-22 - [c39]Qingchao Chen, Yang Liu, Yipeng Hu, Alice Self, Aris T. Papageorghiou, J. Alison Noble:
Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis. ASMUS/PIPPI@MICCAI 2020: 42-51 - [c38]Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Curriculum Learning Based Approach to Captioning Ultrasound Images. ASMUS/PIPPI@MICCAI 2020: 75-84 - [c37]Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou, J. Alison Noble:
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning. ASMUS/PIPPI@MICCAI 2020: 126-135 - [c36]Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. ASMUS/PIPPI@MICCAI 2020: 180-188 - [c35]Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound. MICCAI (3) 2020: 534-543 - [c34]Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. MICCAI (3) 2020: 583-592 - [c33]Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning. MICCAI (1) 2020: 689-698 - [i8]Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. CoRR abs/2001.08188 (2020) - [i7]Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. CoRR abs/2003.00105 (2020) - [i6]Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. CoRR abs/2007.04480 (2020) - [i5]Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound. CoRR abs/2008.06607 (2020) - [i4]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. CoRR abs/2008.08698 (2020)
2010 – 2019
- 2019
- [j8]Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva:
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access 7: 112026-112036 (2019) - [c32]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. IPMI 2019: 592-604 - [c31]Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. ISBI 2019: 987-990 - [c30]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. MLMI@MICCAI 2019: 178-186 - [c29]Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble:
Captioning Ultrasound Images Automatically. MICCAI (4) 2019: 338-346 - [c28]Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. MICCAI (4) 2019: 394-402 - [c27]Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks. MIUA 2019: 151-163 - [c26]Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound. MIUA 2019: 164-173 - [c25]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble:
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. MIUA 2019: 174-186 - [i3]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. CoRR abs/1903.02974 (2019) - [i2]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. CoRR abs/1909.03483 (2019) - [i1]Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks. CoRR abs/1911.07566 (2019) - 2018
- [c24]Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva:
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC 2018: 5866-5869 - [c23]Ana I. L. Namburete, Raquel van Kampen, Aris T. Papageorghiou, Bartlomiej W. Papiez:
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas. DATRA/PIPPI@MICCAI 2018: 76-86 - [c22]Cristian Lorenz, Tom Brosch, Cybèle Ciofolo-Veit, Tobias Klinder, Thierry Lefevre, Angelo Cavallaro, Ibtisam Salim, Aris T. Papageorghiou, Caroline Raynaud, David Roundhill, Laurence Rouet, Nicole Schadewaldt, Alexander Schmidt-Richberg:
Automated abdominal plane and circumference estimation in 3D US for fetal screening. Medical Imaging: Image Processing 2018: 105740I - 2017
- [j7]Mohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Medical Image Anal. 37: 22-36 (2017) - [c21]Alexander Schmidt-Richberg, Tom Brosch, Nicole Schadewaldt, Tobias Klinder, Angelo Cavallaro, Ibtisam Salim, David Roundhill, Aris T. Papageorghiou, Cristian Lorenz:
Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models. FIFI/OMIA@MICCAI 2017: 52-61 - [c20]Caroline Raynaud, Cybèle Ciofolo-Veit, Thierry Lefèvre, Roberto Ardon, Angelo Cavallaro, Ibtisam Salim, Aris T. Papageorghiou, Laurence Rouet:
Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning. FIFI/OMIA@MICCAI 2017: 62-72 - 2016
- [j6]Mohammad Yaqub, Sylvia Rueda, Anil Kopuri, Pedro Melo, Aris T. Papageorghiou, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble:
Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain. IEEE J. Biomed. Health Informatics 20(4): 1120-1128 (2016) - [c19]Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris T. Papageorghiou, J. Alison Noble:
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment. MLMI@MICCAI 2016: 196-204 - [c18]Irina Wächter-Stehle, Tobias Klinder, Jean-Michel Rouet, David Roundhill, Gary Andrews, Angelo Cavallaro, Malid Molloholli, Tess Norris, Raffaele Napolitano, Aris T. Papageorghiou, Cristian Lorenz:
Learning from redundant but inconsistent reference data: anatomical views and measurements for fetal brain screening. Medical Imaging: Image Processing 2016: 97841A - 2015
- [j5]Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble:
Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. 21(1): 72-86 (2015) - [j4]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step. Medical Image Anal. 26(1): 30-46 (2015) - [c17]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Fisher vector encoding for detecting objects of interest in ultrasound videos. ISBI 2015: 651-654 - [c16]Mohammad Yaqub, Brenda Kelly, Aris T. Papageorghiou, J. Alison Noble:
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans. MICCAI (3) 2015: 687-694 - 2014
- [j3]Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Sylvia Rueda, J. Alison Noble, Aris T. Papageorghiou, Jussi Tohka:
Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation. Comput. Medical Imaging Graph. 38(8): 774-784 (2014) - [j2]Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris T. Papageorghiou, Bahbibi Rahmatullah, Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Jussi Tohka, Richard V. Stebbing, John McManigle, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble:
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33(4): 797-813 (2014) - [c15]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Object Classification in an Ultrasound Video Using LP-SIFT Features. MCV 2014: 71-81 - [c14]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Searching for Structures of Interest in an Ultrasound Video Sequence. MLMI 2014: 133-140 - [c13]Ana Ineyda Luisa Namburete, Mohammad Yaqub, Bryn Kemp, Aris T. Papageorghiou, J. Alison Noble:
Predicting Fetal Neurodevelopmental Age from Ultrasound Images. MICCAI (2) 2014: 260-267 - 2013
- [j1]Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel:
Registration of 3D fetal neurosonography and MRI. Medical Image Anal. 17(8): 1137-1150 (2013) - [c12]Rémi Cuingnet, Oudom Somphone, Benoit Mory, Raphael Prevost, Mohammad Yaqub, Raffaele Napolitano, Aris T. Papageorghiou, David Roundhill, J. Alison Noble, Roberto Ardon:
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound. ISBI 2013: 768-771 - [c11]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Oriented feature-based coupled ellipse fitting for soft tissue quantification in ultrasound images. ISBI 2013: 1014-1017 - [c10]Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris T. Papageorghiou, Roberto Ardon, J. Alison Noble:
Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. MLMI 2013: 25-32 - 2012
- [c9]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Image Analysis Using Machine Learning: Anatomical Landmarks Detection in Fetal Ultrasound Images. COMPSAC 2012: 354-355 - [c8]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Regularised feature-based fuzzy connectedness segmentation of ultrasound images for fetal soft tissue quantification across gestation. ISBI 2012: 1323-1326 - [c7]Mohammad Yaqub, Raffaele Napolitano, Christos Ioannou, Aris T. Papageorghiou, J. Alison Noble:
Automatic detection of local fetal brain structures in ultrasound images. ISBI 2012: 1555-1558 - [c6]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Integration of Local and Global Features for Anatomical Object Detection in Ultrasound. MICCAI (3) 2012: 402-409 - [c5]Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, J. Alison Noble, Julia A. Schnabel:
Registration of 3D Fetal Brain US and MRI. MICCAI (2) 2012: 667-674 - 2011
- [c4]Bahbibi Rahmatullah, Ippokratis Sarris, Aris T. Papageorghiou, J. Alison Noble:
Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost. ISBI 2011: 6-9 - [c3]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Automated Selection of Standardized Planes from Ultrasound Volume. MLMI 2011: 35-42 - [c2]Sana Fathima, Sylvia Rueda, Aris T. Papageorghiou, J. Alison Noble:
A novel local-phase method of automatic atlas construction in fetal ultrasound. Medical Imaging: Image Processing 2011: 79621A - [c1]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Local Phase-Based Fuzzy Connectedness Segmentation of Ultrasound Images. MIUA 2011: 331-336
Coauthor Index
aka: Ana Ineyda Luisa Namburete
aka: Julia Alison Noble
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