Papageorghiou, Aris T.

Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans

Yaqub, M., Kelly, B., Papageorghiou, A. T., & Noble, J. A. (2015) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesImage Retrieval and Classification Techniques

Cited by 56

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

Learning to map 2D ultrasound images into 3D space with minimal human annotation

Yeung, P.-H., Aliasi, M., Papageorghiou, A. T., Haak, M., Xie, W., & Namburete, A. I. L. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 55

Measurement of spiral artery jets: general principles and differences observed in small-for-gestational-age pregnancies

Collins, S. L., Birks, J. S., Stevenson, G. N., Papageorghiou, A. T., Noble, J. A., & Impey, L. (2012) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesReproductive System and Pregnancy

Cited by 55

Scientific basis for standardization of fetal head measurements by ultrasound: a reproducibility study

Napolitano, R., Donadono, V., Ohuma, E. O., Knight, C. L., Wanyonyi, S. Z., Kemp, B., Norris, T., & Papageorghiou, A. T. (2016) · Ultrasound in Obstetrics & Gynecology

Prenatal Screening and DiagnosticsReliability and Agreement in Measurement

Cited by 54

Image-scoring system for crown-rump length measurement

Wanyonyi, S. Z., Napolitano, R., Ohuma, E. O., Salomon, L. J., & Papageorghiou, A. T. (2014) · Ultrasound in Obstetrics & Gynecology

Prenatal Screening and DiagnosticsReliability and Agreement in Measurement

Cited by 51

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

Automated 3D ultrasound image analysis for first trimester assessment of fetal health

Ryou, H., Yaqub, M., Cavallaro, A., Papageorghiou, A. T., & Alison Noble, J. (2019) · Physics in Medicine & Biology

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 44

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

Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis

Maraci, M. A., Yaqub, M., Craik, R., Beriwal, S., Self, A., von Dadelszen, P., Papageorghiou, A., & Noble, J. A. (2020) · Journal of medical imaging

Artificial Intelligence in Healthcare and EducationUltrasound in Clinical Applications

Cited by 36

Quality of ultrasound biometry obtained by local health workers in a refugee camp on the Thai–Burmese border

Rijken, M. J., Mulder, E. J. H., Papageorghiou, A. T., Thiptharakun, S., Wah, N., Paw, T. K., Dwell, S. L. M., Visser, G. H. A., Nosten, F. H., & McGready, R. (2012) · Ultrasound in Obstetrics & Gynecology

Ultrasound in Clinical ApplicationsPrenatal Screening and Diagnostics

Cited by 35

Outcome of first-trimester fetal abdominal cysts: Cohort study and review of the literature

Khalil, A., Cooke, P. C., Mantovani, E., Bhide, A., Papageorghiou, A. T., & Thilaganathan, B. (2014) · Ultrasound in Obstetrics & Gynecology

Congenital Anomalies and Fetal SurgeryPrenatal Screening and Diagnostics

Cited by 30

Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step

Rueda, S., Knight, C. L., Papageorghiou, A. T., & Alison Noble, J. (2015) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 30

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

Sensitivity of first-trimester ultrasound in the detection of congenital anomalies in twin pregnancies: Population study and systematic review

D'Antonio, F., Familiari, A., Thilaganathan, B., Papageorghiou, A. T., Manzoli, L., Khalil, A., & Bhide, A. (2016) · Acta Obstetricia et Gynecologica Scandinavica

Prenatal Screening and DiagnosticsAssisted Reproductive Technology and Twin Pregnancy

Cited by 23

Preterm feeding recommendations are achievable in large-scale research studies

for the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st), Cheikh Ismail, L., Giuliani, F., Bhat, B. A., Bishop, D., Papageorghiou, A. T., Ochieng, R., Puglia, F., Altman, D. G., Maia-Schlüssel, M., et al. (2016) · BMC Nutrition

Breastfeeding Practices and InfluencesInfant Nutrition and Health

Cited by 19

Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning

Venturini, L., Papageorghiou, A. T., Noble, J. A., & Namburete, A. I. L. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 18

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

Trustworthiness criteria for meta-analyses of randomized controlled studies: OBGYN journal guidelines

Abbott, J., Acharya, G., Aviram, A., Barnhart, K., Berghella, V., Bradley, C. S., Chescheir, N., D'Hooghe, T., Geary, M., Gupta, J., et al. (2024) · American Journal of Obstetrics & Gynecology MFM

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 9

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

Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: A mixed-methods study

Karim, J. N., Campbell, H., Pandya, P., Wilson, E. C. F., Alfirevic, Z., Chudleigh, T., Duff, E., Fisher, J., Goodman, H., Hinton, L., et al. (2025) · Health Technology Assessment

Prenatal Screening and DiagnosticsCongenital Anomalies and Fetal Surgery

Cited by 5