Drukker, Lior

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

Drukker, L., Noble, J. A., & Papageorghiou, A. T. (2020) · Ultrasound in Obstetrics & Gynecology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 240

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

Drukker, L., Sharma, H., Droste, R., Alsharid, M., Chatelain, P., Noble, J. A., & Papageorghiou, A. T. (2021) · Scientific Reports

Ultrasound in Clinical ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 59

Self-Supervised Representation Learning for Ultrasound Video

Jiao, J., Droste, R., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2020) · 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 56

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

Sharma, H., Drukker, L., Chatelain, P., Droste, R., Papageorghiou, A. T., & Noble, J. A. (2021) · Medical Image Analysis

Surgical Simulation and TrainingArtificial Intelligence in Healthcare and Education

Cited by 48

Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound

Jiao, J., Cai, Y., Alsharid, M., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 38

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

Drukker, L., Sharma, H., Karim, J. N., Droste, R., Noble, J. A., & Papageorghiou, A. T. (2022) · Ultrasound in Obstetrics & Gynecology

Prenatal Screening and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 36

Expected‐value bias in routine third‐trimester growth scans

Drukker, L., Droste, R., Chatelain, P., Noble, J. A., & Papageorghiou, A. T. (2020) · Ultrasound in Obstetrics & Gynecology

Prenatal Screening and DiagnosticsUltrasound in Clinical Applications

Cited by 29

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

Alsharid, M., Cai, Y., Sharma, H., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2022) · Medical Image Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 25

Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound

Sharma, H., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2021) · 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Ultrasound in Clinical ApplicationsSurgical Simulation and Training

Cited by 15

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

Wang, Y., Yang, Q., Drukker, L., Papageorghiou, A., Hu, Y., & Noble, J. A. (2022) · International Journal of Computer Assisted Radiology and Surgery

Artificial Intelligence in Healthcare and EducationUltrasound in Clinical Applications

Cited by 12

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

Xu, Y., Lee, L. H., Drukker, L., Yaqub, M., Papageorghiou, A. T., & Noble, A. J. (2020) · Journal of medical imaging

Fetal and Pediatric Neurological DisordersArtificial Intelligence in Healthcare and Education

Cited by 8

Introduction to Artificial Intelligence in Ultrasound Imaging in Obstetrics and Gynecology

Drukker, L., Noble, J. A., & Papageorghiou, A. T. (2021) · Obstetrical & Gynecological Survey

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 2