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ORCIDJ. Alison Noble
Julia Alison Noble
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- affiliation: University of Oxford, Institute of Biomedical Engineering (IBME)
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2020 – today
- 2024
[c226]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- [c225]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 - [i45]Pramit Saha, Divyanshu Mishra, Felix Wagner
, Konstantinos Kamnitsas, J. Alison Noble:
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. CoRR abs/2402.05294 (2024) - [i44]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Semi-weakly-supervised neural network training for medical image registration. CoRR abs/2402.10728 (2024) - [i43]Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal:
Explaining Explainability: Understanding Concept Activation Vectors. CoRR abs/2404.03713 (2024) - [i42]Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas:
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. CoRR abs/2406.02422 (2024) - [i41]Joshua Strong, Qianhui Men, J. Alison Noble:
Towards Human-AI Collaboration in Healthcare: Guided Deferral Systems with Large Language Models. CoRR abs/2406.07212 (2024) - [i40]Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas:
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR abs/2406.11636 (2024) - [i39]Xiaoqing Guo, Qianhui Men, J. Alison Noble:
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video. CoRR abs/2408.03761 (2024) - [i38]Angus Nicolson, Yarin Gal, J. Alison Noble:
TextCAVs: Debugging vision models using text. CoRR abs/2408.08652 (2024) - [i37]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
- [j68]Mihael Cudic, Jeffrey S. Diamond, J. Alison Noble:
Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons. Medical Image Anal. 86: 102768 (2023) - [j67]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Anal. 90: 102935 (2023) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [c224]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]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 - [c216]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. MICCAI (2) 2023: 414-424 - [c215]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 - [e9]Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0 [contents] - [i36]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i35]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) - [i34]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data. CoRR abs/2310.18815 (2023) - [i33]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
- [j62]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) - [j61]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Image quality assessment for machine learning tasks using meta-reinforcement learning. Medical Image Anal. 78: 102427 (2022) - [j60]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) - [j59]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection Using Regularized Transfer Learning With Application to Fetal Alcohol Syndrome Recognition. IEEE J. Biomed. Health Informatics 26(4): 1591-1601 (2022) - [c214]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 - [c213]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 - [c212]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 - [c211]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 - [c210]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 - [c209]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 - [c208]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 - [c207]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 - [c206]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 - [c205]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 - [c204]Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Weakly Supervised Captioning of Ultrasound Images. MIUA 2022: 187-198 - [e8]Stephen R. Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min:
Simplifying Medical Ultrasound - Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13565, Springer 2022, ISBN 978-3-031-16901-4 [contents] - [d1]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Cross-institution Male Pelvic Structures. Zenodo, 2022
- [i32]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Image quality assessment for machine learning tasks using meta-reinforcement learning. CoRR abs/2203.14258 (2022) - [i31]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) - [i30]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) - [i29]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR abs/2209.05160 (2022) - [i28]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j58]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) - [j57]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) - [c203]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. FIMH 2021: 264-272 - [c202]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 - [c201]Lok Hin Lee, Yuan Gao, J. Alison Noble:
Principled Ultrasound Data Augmentation for Classification of Standard Planes. IPMI 2021: 729-741 - [c200]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. ISBI 2021: 122-125 - [c199]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 - [c198]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 - [c197]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 - [c196]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 - [c195]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability. ASMUS@MICCAI 2021: 191-201 - [c194]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 - [c193]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 - [e7]J. Alison Noble, Stephen R. Aylward, Alexander Grimwood, Zhe Min, Su-Lin Lee, Yipeng Hu:
Simplifying Medical Ultrasound - Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12967, Springer 2021, ISBN 978-3-030-87582-4 [contents] - [e6]Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble:
Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Lecture Notes in Computer Science 12722, Springer 2021, ISBN 978-3-030-80431-2 [contents] - [i27]Lok Hin Lee, Yuan Gao, J. Alison Noble:
Principled Ultrasound Data Augmentation for Classification of Standard Planes. CoRR abs/2103.07895 (2021) - [i26]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Adaptable image quality assessment using meta-reinforcement learning of task amenability. CoRR abs/2108.04359 (2021) - [i25]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) - [i24]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition. CoRR abs/2109.05485 (2021) - 2020
- [j56]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) - [j55]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) - [j54]Arijit Patra, Julia Alison Noble:
Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos. IEEE J. Biomed. Health Informatics 24(4): 1046-1058 (2020) - [j53]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) - [c192]Richard Droste, Jianbo Jiao, J. Alison Noble:
Unified Image and Video Saliency Modeling. ECCV (5) 2020: 419-435 - [c191]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 - [c190]Lok Hin Lee, J. Alison Noble:
Generating Controllable Ultrasound Images of the Fetal Head. ISBI 2020: 1761-1764 - [c189]Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Representation Learning for Ultrasound Video. ISBI 2020: 1847-1850 - [c188]Lok Hin Lee, J. Alison Noble:
Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks. ISBI 2020: 1937-1940 - [c187]Jia Sun, Tapabrata Chakraborti, J. Alison Noble:
A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification. XI-ML@KI 2020 - [c186]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 - [c185]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 - [c184]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. M&Ms and EMIDEC/STACOM@MICCAI 2020: 56-65 - [c183]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 - [c182]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 - [c181]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 - [c180]Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean C. Barratt, Yipeng Hu:
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination. MICCAI (3) 2020: 243-252 - [c179]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 - [c178]Huan Qi, Sally L. Collins, J. Alison Noble:
Knowledge-Guided Pretext Learning for Utero-Placental Interface Detection. MICCAI (1) 2020: 582-593 - [c177]Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. MICCAI (3) 2020: 583-592 - [c176]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. MLMI@MICCAI 2020: 583-592 - [c175]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 - [c174]Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA 2020: 294-306 - [e5]Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen R. Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents-Barrena:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12437, Springer 2020, ISBN 978-3-030-60333-5 [contents] - [e4]Bartlomiej W. Papiez, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble:
Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science 1248, Springer 2020, ISBN 978-3-030-52790-7 [contents] - [i23]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) - [i22]