David, Anna L.

Interactive medical image segmentation using deep learning with image-specific fine tuning

Wang, G., Li, W., Zuluaga, M. A., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S., et al. (2018) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 843

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Wang, G., Zuluaga, M. A., Li, W., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S., et al. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 502

Animal models of fetal growth restriction: Considerations for translational medicine

Swanson, A. M., & David, A. L. (2015) · Placenta

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 183

The role of aspirin, heparin, and other interventions in the prevention and treatment of fetal growth restriction

Groom, K. M., & David, A. L. (2018) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 170

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views

Wang, G., Zuluaga, M. A., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A. L., Deprest, J., Vercauteren, T., & Ourselin, S. (2016) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 73

Diagnosis of Apert syndrome in the second‐trimester using 2D and 3D ultrasound

David, A. L., Turnbull, C., Scott, R., Freeman, J., Bilardo, C. M., van Maarle, M., & Chitty, L. S. (2007) · Prenatal Diagnosis

Prenatal Screening and DiagnosticsCraniofacial Disorders and Treatments

Cited by 61

Machine learning and disease prediction in obstetrics

Arain, Z., Iliodromiti, S., Slabaugh, G., David, A. L., & Chowdhury, T. T. (2023) · Current Research in Physiology

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 40

Deep learning-based plane pose regression in obstetric ultrasound

Di Vece, C., Dromey, B., Vasconcelos, F., David, A. L., Peebles, D., & Stoyanov, D. (2022) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 17

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation

Wang, G., Zuluaga, M. A., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A. L., Deprest, J., Vercauteren, T., & Ourselin, S. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesImbalanced Data Classification Techniques

Cited by 14