Automatic Quantification of MS Lesions in 3D MRI Brain Data Sets: Validation of INSECT

Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging

Automatic Brain and Tumor Segmentation

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I

Automatic Generation of Training Data for Brain Tissue Classification from MRI

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I

Surface-Based Texture and Morphological Analysis Detects Subtle Cortical Dysplasia

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I

Brain Lesion Segmentation through Physical Model Estimation

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing

3-D brain MRI tissue classification on FPGAs

IEEE Transactions on Image Processing

Fully automated tumor segmentation based on improved fuzzy connectedness algorithm in brain MR images

Computers in Biology and Medicine

Network-based classification using cortical thickness of AD patients

MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging

A novel quantitative validation of the cortical surface reconstruction algorithm using MRI phantom: issues on local geometric accuracy and cortical thickness

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Regional thinning of cerebral cortical thickness in first-episode and chronic schizophrenia

International Journal of Imaging Systems and Technology

Novel vector-valued approach to automatic brain tissue classification

MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging

Accurate prediction of AD patients using cortical thickness networks

Machine Vision and Applications