Lambrou, Tryphon

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images

Zhang, L., Ye, X., Lambrou, T., Duan, W., Allinson, N., & Dudley, N. J. (2016) · Physics in Medicine & Biology

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 34

An in vivo subject-specific 3D functional knee joint model using combined MR imaging

Chen, B., Lambrou, T., Offiah, A. C., Gondim Teixeira, P. A., Fry, M., & Todd-Pokropek, A. (2013) · International Journal of Computer Assisted Radiology and Surgery

Knee injuries and reconstruction techniquesMedical Image Segmentation Techniques

Cited by 7