PULSE
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation, E Savochkina, LH Lee, H Zhao, L Drukker,AT Papageorghiou, JA Noble, IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation, R Yasrab, Z Fu, L Drukker, LH Lee, H Zhao, AT Papageorghiou, JA Noble, IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022
A picture is worth 1000 words: textual analysis of routine 20-week scan, M Alsharid, L Drukker, H Sharma, JA Noble, AT Papageorghiou, Ultrasound in Obstetrics & Gynecology
Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep learning-based analysis, L Drukker, H Sharma, JN Karim, R Droste, JA Noble, AT Papageorghiou, Ultrasound in Obstetrics & Gynecology
Weakly Supervised Captioning of Ultrasound Images, M Alsharid, H Sharma, L Drukker, AT Papageorgiou, JA Noble, MIUA 2022 LNCS Volume 13413
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans, C Teng, H Sharma, L Drukker, AT Papageorghiou, JA Noble, ETRA 2022
Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves, C Teng, LH Lee, J Lander, L Drukker, AT Papageorghiou, JA Noble, ETRA 2022
Task model-specific operator skill assessment in routine fetal ultrasound scanning, Y Wang, Q Yang, L Drukker, AT Papageorghiou, Y Hu, JA Noble, IPCAI 2022 Vol 17
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning, Q Men, C Teng, L Drukker, AT Papageorghiou, JA Noble, MICCAI 2022
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data, H Zhao, Q Zheng, C Teng, R Yasrab, L Drukker, AT Papageorghiou, JA Noble, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction, M Gridach, E Savochkina, L Drukker, AT Papageorghiou, JA Noble, International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS 2022)
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding, C Zhao, R Droste, L Drukker, AT Papageorghiou, JA Noble, International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS 2022)
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound, Z Fu, J Jiao, R Yasrab, L Drukker, AT Papageorghiou, JA Noble, ECCV 2022 Medical Computer Vision Workshop
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans, R Yasrab, Z Fu, H Zhao, LH Lee, H Sharma, L Drukker, AT Papageorghiou, JA Noble, IEEE Transactions on Medical Imaging
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos, H Sharma, L Drukker, P Chatelain, R Droste, AT Papageorghiou, JA Noble, Medical Image Analysis Volume 69, April 21
Multi-modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterisation in Clinical Fetal Ultrasound, H Sharma, L Drukker, AT Papageorghiou, JA Noble, IEEE 18th International Symposium on Biomedical Imaging (ISBI) 2021
A Course-Focused Dual Curriculum For Image Captioning, M Alsharid, R El-Bouri, H Sharma, L Drukker, AT Papageorghiou, JA Noble, IEEE 18th International Symposium on Biomedical Imaging (ISBI) 2021
Principled Ultrasound Data Augmentation for Classification of Standard Planes, LH Lee, Y Gao, JA Noble, IPMI 2021: Information Processing in Medical Imaging
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging, H Sharma, L Drukker, AT Papageorghiou, JA Noble, Computers in Biology and Medicine, Volume 135, 2021
Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video, L Drukker, H Sharma, R Droste, M Alsharid, P Chatelain, JA Noble, AT Papageorghiou, Scientific Reports Volume 11, 2021
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry, Y Gao, L Lee, R Droste, R Craik, S Beriwal, AT Papageorghiou, JA Noble, International Conference on Computer Vision (ICCV) 2021
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval, C Zhao, R Droste, L Drukker, AT Papageorghiou, JA Noble, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction, E Savochkina, L Lee, L Drukker, AT Papageorghiou, JA Noble, MIUA 2021: Medical Image Understanding and Analysis, LNCS Volume 12722
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound, A Patra, Y Cai, P Chatelain, H Sharma, L Drukker, AT Papageorghiou, JA Noble, International Workshop on Advances in Simplifying Medical Ultrasound ASMUS 2021: Simplifying Medical Ultrasound, LNCS, Volume 12967
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound, C Teng, H Sharma, L Drukker, AT Papageorghiou, JA Noble, International Workshop on Advances in Simplifying Medical Ultrasound ASMUS 2021: Simplifying Medical Ultrasound, LNCS, Volume 12967
First trimester scans: how much time does it take to acquire the CRL and NT? L Drukker, R Yasrab, JA Noble, AT Papageorghiou, ISUOG 2021
Introduction to Artificial Intelligence in Ultrasound Imaging in Obstetrics and Gynecology, L Drukker, JA Noble, AT Papageorghiou, Ultrasound in Obstetrics & Gynecology
Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos, A Patra, JA Noble, IEEE Journal of Biomedical and Health Informatics 24.1
Expected‐Value Bias in Routine Third‐Trimester Growth Scans, L Drukker, R Droste, P Chatelain, JA Noble, AT Papageorghiou, Ultrasound in Obstretics and Gynecology, Volume 55 Issue 3
Safety Indices of Ultrasound: Adherence to Recommendations and Awareness During Routine Obstetric Ultrasound Scanning, L Drukker, R Droste, P Chatelain, JA Noble, AT Papageorghiou, Ultraschall in Med 2020, 41.2
Discovering Salient Anatomical Landmarks by Predicting Human Gaze, R Droste, P Chatelain, L Drukker, H Sharma, AT Papageorghiou, JA Noble, IEEE ISBI 2020
Self-supervised Representation Learning for Ultrasound Video, J Jiao, R Droste, L Drukker, AT Papageorghiou, JA Noble, IEEE ISBI 2020
Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks, LH Lee, JA Noble, IEEE ISBI 2020
Generating Controllable Ultrasound Images of the Fetal Head, LH Lee, JA Noble, IEEE ISBI 2020
Unified Image and Video Saliency Modeling, R Droste, J Jiao, JA Noble, ECCV 2020
A Curriculum Learning Based Approach to Captioning Ultrasound Images, M Alsharid, R El-Bouri, H Sharma, L Drukker, AT Papageorghiou, JA Noble, ASMUS 2020
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking, Y Wang, R Droste, H Sharma, L Drukker, AT Papageorghiou, JA Noble, ASMUS 2020
Differentiating Operator Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound, H Sharma, L Drukker, R Droste, P Chatelain, AT Papageorghiou, JA Noble, ISUOG2020
Standard biometric planes: what are the salient anatomical landmarks? L Drukker, R Droste, AT Papageorghiou, JA Noble, ISUOG2020
The data science of obstetric ultrasound: automatic analysis of full‐length anomaly scans using machine learning algorithms, L Drukker, H Sharma, R Droste, AT Papageorghiou, JA Noble, ISUOG2020
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation, Y Cai, R Droste, H Sharma, P Chatelain, L Drukker, AT Papageorghiou, JA Noble, Medical Image Analysis Volume 65, October 2020
Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound, J Jiao, Y Cai, M Alsharid, L Drukker, AT Papageorghiou, JA Noble, MICCAI2020
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound, R Droste, L Drukker, AT Papageorghiou, JA Noble, MICCAI2020
Captioning Ultrasound Images Automatically, M. Alsharid, H. Sharma, L. Drukker, P. Chatelain, A. Papageorghiou, A. Noble, MICCAI (Medical Image Computing and Computer-Assisted Intervention), Shenzhen, China, 2019
Monitoring Sonographer Performance: The Perception Ultrasound by Learning Sonographer Experience (PULSE) study, L Drukker, R Droste, P Chatelain, H Sharma, Y Cai, J Toots, M Alsharid, JA Noble (Oral Abstract accepted for presentation, AIUM 2019)
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention; R Droste, Y Cai, H Sharma, P Chatelain, L Drukker, AT Papageorghiou, JA Noble, 26th Biennial International Conference on Information Processing in Medical Imaging (IPMI 2019)
Spatio-Temporal Partitioning and Description in Routine Fetal Anomaly Ultrasound Scans, H Sharma, R Droste, P Chatelain, L Drukker, AT Papageorghiou, JA Noble (Conference Paper, IEEE ISBI 2019 Venice, Italy)
A novel eye tracking study: how common is expected value bias in fetal growth scan assessment? L Drukker, R Droste, P Chatelain, JA Noble, AT Papageorghiou (abstract in Ultrasound in Obstretics & Gynecology 54.S1)
Bioeffects safety indices of ultrasound: quantifying adherence to recommendations on routine obstetric scan, L Drukker, R Droste, P Chatelain, JA Noble, AT Papageorghiou (abstract in Ultrasound in Obstretics & Gynecology 54.S1)
Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps, Y Gao, JA Noble, MICCAI 2019
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation, A Patra, Y Cai, P Chatelain, H Sharma, L Drukker, AT Papageorghiou, JA Noble, MICCAI 2019
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction, R Droste, Y Cai, H Sharma, P Chatelain, L Drukker, AT Papageorghiou, JA Noble, 23rd Conference on Medical Image Understanding and Analysis (MIUA)
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps, Y Cai, H Sharma, P Chatelain, JA Noble, MICCAI 2018
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies,P Chatelain, H Sharma, L Drukker, AT Papageorghiou, JA Noble (IEEE T Cyber 2018)
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking, Y Cai, H Sharma, P Chatelain, JA Noble, IEEE ISBI 2018
Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks, Y Gao, JA Noble, MICCAI 2017
Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video, A Patra, W Huang, JA Noble, LNCS, volume 10434, 2017
