Droste, Richard

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

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