Perception Ultrasound by Learning Sonographic Experience

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Pubblicazioni

Multimodal-GuideNet: gaze-probe bidirectional guidance in obstetric ultrasound scanning

Autori: Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Numero LNCS,volume 13437, 2022, Pagina/e 94-103, ISBN 978-3-031-16449-1
Editore: Springer
DOI: 10.1007/978-3-031-16449-1_10

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation

Autori: Elizaveta Savochkina; Lok Hin Lee; He Zhao; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761585

Captioning ultrasound images automatically

Autori: Alsharid, M., Sharma, H., Drukker, L., Chatelain, P., Papageorghiou, A.T., Noble, J.A.
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Numero 11767, 2019, ISBN 978-3-030-32251-9
Editore: Springer, Cham
DOI: 10.1007/978-3-030-32251-9_37

AUTOMATED DESCRIPTION AND WORKFLOW ANALYSIS OF FETAL ECHOCARDIOGRAPHY IN FIRST-TRIMESTER ULTRASOUND VIDEO SCANS

Autori: Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: ISBI 2023, Numero International Symposium on Biomedical Imaging, 2023
Editore: IEEE

CNSEG-GAN: A LIGHTWEIGHT GENERATIVE ADVERSARIAL NETWORK FOR SEGMENTATION OF CRL AND NT FROM FIRST-TRIMESTER FETAL ULTRASOUND

Autori: Md. Mostafa Kamal Sarker, Robail Yasrab, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: ISBI 2023, 2023
Editore: IEEE

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound.

Autori: Richard Droste; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI, Numero 2020, 2020, Pagina/e 583-592, ISBN 978-3-030-59715-3
Editore: Springer-Verlag
DOI: 10.1007/978-3-030-59716-0_56

Towards unsupervised ultrasound video clinical quality assessment with multi-modality data

Autori: He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Numero LNCS,volume 13434, 2022, Pagina/e 228-237, ISBN 978-3-031-16440-8
Editore: Springer
DOI: 10.1007/978-3-031-16440-8_22

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding

Autori: Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022., Numero Lecture Notes in Computer Science, vol 13437, 2022, ISBN 978-3-031-16448-4
Editore: Springer
DOI: 10.1007/978-3-031-16449-1_11

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound

Autori: Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: Simplifying Medical Ultrasound. ASMUS 2021, Numero Lecture Notes in Computer Science(), vol 12967, 2021, ISBN 978-3-030-87582-4
Editore: Springer
DOI: 10.1007/978-3-030-87583-1_2

Skill characterisation of sonographer gaze patterns during second trimester clinical fetal ultrasounds using time curves

Autori: Clare Teng; Lok Hin Lee; Jayne Lander; Lior Drukker; Aris T Papageorghiou; J. Alison Noble
Pubblicato in: Symposium on Eye Tracking Research and Applications, Numero ETRA '22: 2022, 2022, Pagina/e 1-7, ISBN 978-1-4503-9252-5
Editore: Association for Computing Machinery
DOI: 10.1145/3517031.3529637

Automatic determination of the fetal cardiac cycle in ultrasound using spatio-temporal neural networks

Autori: L. H. Lee, J. A. Noble
Pubblicato in: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, Pagina/e 1937-1940, ISBN 978-1-5386-9331-5
Editore: IEEE
DOI: 10.1109/isbi45749.2020.9098613

Label efficient localization of fetal brain biometry planes in ultrasound through metric learning

Autori: Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: International Workshop on Advances in Simplifying Medical Ultrasound, Numero vol 12437, 2020, Pagina/e 126-135, ISBN 978-3-030-60334-2
Editore: Springer
DOI: 10.1007/978-3-030-60334-2_13

Learning and understanding deep spatio-temporal representations from free-hand fetal ultrasound sweeps

Autori: Yuan Gao, J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Numero Oct 2019, 2019, Pagina/e 299-308, ISBN 978-3-030-32253-3
Editore: Springer-Verlag
DOI: 10.1007/978-3-030-32254-0_34

A Curriculum Learning Based Approach to Captioning Ultrasound Images

Autori: Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma & J. Alison Noble
Pubblicato in: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. ASMUS PIPPI 2020 2020, Numero Lecture Notes in Computer Science(), vol 12437, 2020, ISBN 978-3-030-60333-5
Editore: Springer
DOI: 10.1007/978-3-030-60334-2_8

Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound

Autori: Teng, C., Sharma, H., Drukker, L., Papageorghiou, A.T., Noble, J.A
Pubblicato in: Simplifying Medical Ultrasound. ASMUS 2021, Numero Lecture Notes in Computer Science(), vol 12967, 2021, ISBN 978-3-030-87582-4
Editore: Springer
DOI: 10.1007/978-3-030-87583-1_13

Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data

Autori: Clare Teng, Lior Drukker, Aris T Papageorghiou, J Alison Noble
Pubblicato in: Proceedings of The 1st Gaze Meets ML workshop, Numero PMLR 210, 2023, Pagina/e 184-198
Editore: Journal of Machine Learning Research

Visualising spatio-temporal gaze characteristics for exploratory data analysis in clinical fetal ultrasound scans

Autori: Clare Teng, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, J. Alison Noble
Pubblicato in: ETRA '22: 2022 Symposium on Eye Tracking Research and Applications, Numero June 2022, 2022, Pagina/e 1-6
Editore: Association for Computing Machinery
DOI: 10.1145/3517031.3529635

First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction

Autori: Savochkina, E., Lee, L.H., Drukker, L., Papageorghiou, A.T., Noble, J.A
Pubblicato in: Medical Image Understanding and Analysis. MIUA 2021, Numero Lecture Notes in Computer Science(), vol 12722, 2021, ISBN 978-3-030-80431-2
Editore: Springer
DOI: 10.1007/978-3-030-80432-9_28

Self-knowledge distillation for first trimester ultrasound saliency prediction

Autori: Mourad Gridach, Elizaveta Savochkina, Lior Drukker, Aris T. Papageorghiou & J. Alison Noble
Pubblicato in: Simplifying Medical Ultrasound. ASMUS 2022, Numero Lecture Notes in Computer Science, vol 13565, 2022, ISBN 978-3-031-16902-1
Editore: Springer
DOI: 10.1007/978-3-031-16902-1_12

Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound.

Autori: Jianbo Jiao; Yifan Cai; Mohammad Alsharid; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Numero 2020, 2020, Pagina/e 534-543, ISBN 9783030597153
Editore: Springer, Cham
DOI: 10.48550/arxiv.2008.06607

Efficient ultrasound image analysis models with sonographer gaze assisted distillation

Autori: Patra, A., Cai, Y., Chatelain, P., Sharma, H., Drukker, L., Papageorghiou, A. T., & Noble, J. A.
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Numero Lecture Notes in Computer Science(), vol 11767, 2019, ISBN 978-3-030-32250-2
Editore: Springer, Cham
DOI: 10.1007/978-3-030-32251-9_43

Principled ultrasound data augmentation for classification of standard planes

Autori: Lok Hin Lee, Yuan Gao & J. Alison Noble
Pubblicato in: Information Processing in Medical Imaging. IPMI 2021, Numero Lecture Notes in Computer Science(), vol 12729, 2021, ISBN 978-3-030-78191-0
Editore: Springer
DOI: 10.1007/978-3-030-78191-0_56

Weakly supervised captioning of ultrasound images

Autori: Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorgiou & J. Alison Noble
Pubblicato in: MIUA 2022: Medical Image Understanding and Analysis, Numero LNCS,volume 13413, 2022, Pagina/e 187-198, ISBN 978-3-031-12053-4
Editore: Springer
DOI: 10.1007/978-3-031-12053-4_14

Learning spatio-temporal aggregation for fetal heart analysis in ultrasound video

Autori: Patra, A., Huang, W., Noble, J.A
Pubblicato in: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Numero Lecture Notes in Computer Science(), vol 10553, 2017, ISBN 978-3-319-67558-9
Editore: Springer, Cham
DOI: 10.1007/978-3-319-67558-9_32

Generating controllable ultrasound images of the fetal head

Autori: LH Lee, JA Noble
Pubblicato in: 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), 2020, Pagina/e 1761-1764, ISBN 9781538693315
Editore: IEEE
DOI: 10.1109/isbi45749.2020.9098578

Discovering Salient Anatomical Landmarks by Predicting Human Gaze

Autori: Richard Droste; Pierre Chatelain; Lior Drukker; Harshita Sharma; Aris T. Papageorghiou; J.A. Noble
Pubblicato in: IEEE International Symposium on Biomedical Imaging, Numero 2020, 2020, Pagina/e 1711-1714
Editore: IEEE
DOI: 10.1109/isbi45749.2020.9098505

Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps

Autori: Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, Numero 11070, 2018, Pagina/e 871-879, ISBN 978-3-030-00927-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00928-1_98

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention

Autori: Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Numero 11492, 2019, Pagina/e 592-604, ISBN 978-3-030-20350-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20351-1_46

Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans

Autori: H. Sharma, R. Droste, P. Chatelain, L. Drukker, A.T. Papageorghiou, J.A. Noble
Pubblicato in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Numero Annual, 2019, Pagina/e 987-990, ISBN 978-1-5386-3641-1
Editore: IEEE
DOI: 10.1109/isbi.2019.8759149

SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking

Autori: Y. Cai, H. Sharma, P. Chatelain, J. A. Noble
Pubblicato in: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Numero Annually, 2018, Pagina/e 1475-1478, ISBN 978-1-5386-3636-7
Editore: IEEE
DOI: 10.1109/isbi.2018.8363851

Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction

Autori: Droste, R., Cai, Y., Sharma, H., Chatelain, P., Papageorghiou, A.T., Noble, J.A.
Pubblicato in: Medical Image Understanding and Analysis. MIUA 2019, Numero Communications in Computer and Information Science, vol 1065, 2020, ISBN 978-3-030-39343-4
Editore: Springer, Cham
DOI: 10.1007/978-3-030-39343-4_15

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Autori: Fu, Zeyu; Jiao, Jianbo; Yasrab, Robail; Drukker, Lior; Papageorghiou, Aris T.; Noble, J. Alison
Pubblicato in: ECCV 2022: Computer Vision – ECCV 2022 Workshops, Numero 13803, 2023, Pagina/e 422-436, ISBN 978-3-031-25066-8
Editore: Springer, Cham
DOI: 10.48550/arxiv.2208.10642

Unified Image and Video Saliency Modeling

Autori: Richard Droste, Jianbo Jiao & J. Alison Noble
Pubblicato in: Lecture Notes in Computer Science, Numero LNIP, volume 12350, 2020, Pagina/e 419-435, ISBN 978-3-030-58558-7
Editore: Springer
DOI: 10.1007/978-3-030-58558-7_25

Densely Attentional Network for first trimester fetal ultrasound video automated CRL and NT segmentation

Autori: Mourad Gridach, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: IEEE - ISBI 2023 International Symposium on Biomedical Imaging, Numero IEEE - ISBI 2023 International Symposium on Biomedical Imaging, 2023
Editore: IEEE

A Course-Focused Dual Curriculum For Image Captioning

Autori: Mohammad Alsharid; Rasheed El-Bouri; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Pagina/e pp. 716-720, ISBN 978-1-6654-1246-9
Editore: IEEE
DOI: 10.1109/isbi48211.2021.9434055

A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry

Autori: Gao Y., Lee L., Droste R., Craik R., Beriwal S., Papageorghiou A., Noble A.
Pubblicato in: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, Pagina/e 3239-3247
Editore: IEEE/CVF
DOI: 10.1109/iccvw54120.2021.00363

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation

Autori: Robail Yasrab; Zeyu Fu; Lior Drukker; Lok Hin Lee; He Zhao; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, Pagina/e 1-5, ISBN 978-1-6654-2923-8
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761400

Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption

Autori: Qianhui Men, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: IEEE - ISBI 2023 International Symposium on Biomedical Imaging, 2023
Editore: IEEE

Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound

Autori: H. Sharma, L. Drukker, R. Droste, P. Chatelain, A.T. Papageorghiou, J.A. Noble
Pubblicato in: Ultrasound in Obstetrics & Gynecology, Numero 56 S1, 2020, Pagina/e 1-402, ISSN 0960-7692
Editore: Wiley
DOI: 10.1002/uog.22266

Bioeffects safety indices of ultrasound: quantifying adherence to recommendations on routine obstetric scan

Autori: Drukker L., Droste R., Chatelain P., Noble JA., Papageorghiou AT.
Pubblicato in: Abstracts of the 29th World Congress on Ultrasound in Obstetrics and Gynecology, Numero 54 S1, 2019, Pagina/e 24
Editore: Wiley
DOI: 10.1002/uog.20484

First trimester scans: how much time does it take to acquire the CRL and NT?

Autori: L. Drukker, R. Yasrab, J.A. Noble, A.T. Papageorghiou
Pubblicato in: Abstracts of the 31st World Congress on Ultrasound in Obstetrics and Gynecology, 15–17 October 2021, Virtual, Numero Volume 58, Numero S1, 2021, Pagina/e 174
Editore: Wiley
DOI: 10.1002/uog.24303

Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval.

Autori: Zhao, C., Droste, R., Drukker, L., Papageorghiou, A.T., Noble, J.A.
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Numero MICCAI 2021. Lecture Notes in Computer Science(), vol 12908, 2021, Pagina/e 670-679, ISBN 978-3-030-87237-3
Editore: Springer
DOI: 10.1007/978-3-030-87237-3_64

Self-Supervised Representation Learning for Ultrasound Video

Autori: Jianbo Jiao; Richard Droste; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: IEEE International Symposium on Biomedical Imaging, Numero 2020, 2020, Pagina/e 1847-1850
Editore: IEEE
DOI: 10.48550/arxiv.2003.00105

Multi-modal learning from video, eye tracking, and pupillometry for operator skill characterization in clinical fetal ultrasound

Autori: Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Pagina/e pp. 1646-1649, ISBN 978-1-6654-1246-9
Editore: IEEE
DOI: 10.1109/isbi48211.2021.9433863

Deep learning Sonographer Visual Attention

Autori: Yifan Cai
Pubblicato in: 2019
Editore: University of Oxford

Generating textual captions for ultrasound visuals in an automated fashion

Autori: Mohammad Alsharid
Pubblicato in: 2021
Editore: University of Oxford

Delving deep into fetal ultrasound video analysis

Autori: Arijit Patra
Pubblicato in: 2020
Editore: University of Oxford

Automatic Sonographer Skills Assessment

Autori: Yipei Wang
Pubblicato in: 2023
Editore: University of Oxford

Describing obstetric ultrasound video content using deep learning

Autori: Yuan Gao
Pubblicato in: 2019
Editore: University of Oxford

Advancing ultrasound image analysis by capturing operator gaze patterns

Autori: Richard Droste
Pubblicato in: 2021
Editore: University of Oxford

Fetal gestational age estimation without clinical measurement using deep learning

Autori: Lok Hin Lee
Pubblicato in: 2021
Editore: University of Oxford

First Trimester Gaze and Probe Motion Guidance for Obstetric Ultrasound Scanning

Autori: Elizaveta Savochkina
Pubblicato in: 2023
Editore: University of Oxford

A picture is worth a thousand words: textual analysis of the routine 20-week scan.

Autori: M. Alsharid; L. Drukker; H. Sharma; J. A. Noble; A. T. Papageorghiou
Pubblicato in: Ultrasound in Obstetrics & Gynecology, Numero 60.5, 2022, Pagina/e 710-711, ISSN 0960-7692
Editore: John Wiley & Sons Inc.
DOI: 10.1002/uog.24972

Expected-value bias in routine third-trimester growth scans.

Autori: Lior Drukker; Richard Droste; Pierre Chatelain; J.A. Noble; Aris T. Papageorghiou
Pubblicato in: Ultrasound in Obstetrics & Gynecology, Numero 55.3, 2019, Pagina/e 375-382, ISSN 0960-7692
Editore: John Wiley & Sons Inc.
DOI: 10.1002/uog.21929

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

Autori: Lior Drukker; J.A. Noble; Aris T. Papageorghiou
Pubblicato in: Ultrasound in Obstetrics and Gynecology, Numero 56.4, 2020, Pagina/e 498-505, ISSN 0960-7692
Editore: John Wiley & Sons Inc.
DOI: 10.1097/ogx.0000000000000910

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging

Autori: Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: Computers in Biology and Medicine, Numero Volume 135, August 2021, 104589, 2021, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104589

Safety indices of ultrasound: Adherence to recommendations and awareness during routine obstetric ultrasound scanning

Autori: Drukker, Lior; Droste, Richard; Chatelain, Pierre; Noble, J. Alison; Papageorghiou, Aris T.
Pubblicato in: Ultraschall in der Medizin - European Journal of Ultrasound, Numero 41.02, 2019, Pagina/e 138-145, ISSN 1879-0623
Editore: Thieme
DOI: 10.1055/a-1074-0722

Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video.

Autori: Lior Drukker; Harshita Sharma; Richard Droste; Mohammad Alsharid; Pierre Chatelain; J. Alison Noble; Aris T. Papageorghiou
Pubblicato in: Scientific Reports, Numero Vol 11, Iss 1, 2021, Pagina/e 1-12, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-92829-1

Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies

Autori: Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: IEEE Transactions on Cybernetics, Numero monthly, 2018, Pagina/e 1-11, ISSN 2168-2267
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/tcyb.2018.2866274

Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.

Autori: Yifan Cai; Richard Droste; Harshita Sharma; Pierre Chatelain; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble
Pubblicato in: Medical Image Analysis, Numero 65, 2020, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2020.101762

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

Autori: Harshita Sharma a, Lior Drukker b, Pierre Chatelain a, Richard Droste a, Aris T. Papageorghiou b, J. Alison Noble
Pubblicato in: Medical Image Analysis, Numero 69, 2021, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2021.101973

Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep learning-based analysis

Autori: L. Drukker; H. Sharma; J. N. Karim; R. Droste; J. A. Noble; A. T. Papageorghiou
Pubblicato in: Ultrasound in Obstetrics and Gynecology, Numero 60.6, 2022, Pagina/e 759-765, ISSN 0960-7692
Editore: John Wiley & Sons Inc.
DOI: 10.1002/uog.24975

A machine learning method for automated description and workflow analysis of first trimester ultrasound scans

Autori: Robail Yasrab; Zeyu Fu; He Zhao; Lok Hin Lee; Harshita Sharma; Lior Drukker; Aris T Papageorgiou; J. Alison Noble
Pubblicato in: IEEE Transactions on Medical Imaging, Numero Vol 42, Numero 5, 2022, Pagina/e 1301-1313, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3226274

Task model-specific operator skill assessment in routine fetal ultrasound scanning

Autori: Wang, Y; Yang, Q; Drukker, L; Papageorghiou, A; Hu, Y; Noble, JA
Pubblicato in: International Journal for Computer Assisted Radiology and Surgery (IJCARS), Numero 17, 2022, Pagina/e 1437–1444, ISSN 1861-6410
Editore: Springer Verlag
DOI: 10.1007/s11548-022-02642-y

Simulating realistic fetal neurosonography images with appearance and growth change using cycle-consistent adversarial networks and an evaluation

Autori: Xu, Y., Lee, L. H., Drukker, L., Yaqub, M., Papageorghiou, A. T., & Noble, A. J.
Pubblicato in: Journal of Medical Imaging, Numero 7.5, 2020, ISSN 2329-4310
Editore: SPIE
DOI: 10.1117/1.jmi.7.5.057001

Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks

Autori: Mohammad Alsharid, Yifan Cai, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Pubblicato in: Medical Image Analysis, Numero Volume 82, November 2022, 102630, 2022, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2022.102630

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