Yaqub, Mohammad

Learning-based prediction of gestational age from ultrasound images of the fetal brain

Namburete, A. I. L., Stebbing, R. V., Kemp, B., Yaqub, M., Papageorghiou, A. T., & Alison Noble, J. (2015) · Medical Image Analysis

Fetal and Pediatric Neurological DisordersMedical Image Segmentation Techniques

Cited by 97

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning

Namburete, A. I. L., Xie, W., Yaqub, M., Zisserman, A., & Noble, J. A. (2018) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 95

A Deep Learning Solution for Automatic Fetal Neurosonographic Diagnostic Plane Verification Using Clinical Standard Constraints

Yaqub, M., Kelly, B., Papageorghiou, A. T., & Noble, J. A. (2017) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 67

Machine learning for accurate estimation of fetal gestational age based on ultrasound images

Lee, L. H., Bradburn, E., Craik, R., Yaqub, M., Norris, S. A., Ismail, L. C., Ohuma, E. O., Barros, F. C., Lambert, A., Carvalho, M., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics

Cited by 59

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

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

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

Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings

Williams, H., Cattani, L., Van Schoubroeck, D., Yaqub, M., Sudre, C., Vercauteren, T., D'Hooge, J., & Deprest, J. (2021) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesPelvic floor disorders treatments

Cited by 19

MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study

Hassan, S., Akaila, D., Arjemandi, M., Papineni, V., & Yaqub, M. (2025) · Scientific Reports

Dementia and Cognitive Impairment ResearchRadiomics and Machine Learning in Medical Imaging

Cited by 14

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