- ORIGINAL ARTICLE Smaller Neocortical Gray Matter and Larger Sulcal
- Automatic Segmentation Using Non-Rigid Registration Kilian M. Pohl1, Sylvain Bouix2, Martha .E. Shenton2, W. Eric L. Grimson1, and Ron
- IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 9, SEPTEMBER 2007 1201 A Hierarchical Algorithm for MR Brain
- Automated Segmentation of Cerebral Ventricular Compartments Warfield SK, 1
- MONITORING SLOWLY EVOLVING TUMORS E. Konukoglu1
- The Impact of Atlas Formation Methods on Atlas-Guided Brain Segmentation
- Multimodal Registration of White Matter Brain Data via Optimal Mass Transport
- Neocortical Gray Matter Volume in First-Episode Schizophrenia and First-Episode Affective Psychosis: A
- A Unifying Approach to Registration, Segmentation, and Intensity Correction
- Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
- Coupling Statistical Segmentation and PCA Shape Kilian M. Pohl1, Simon K. Warfield2, Ron Kikinis2, W. Eric L. Grimson1, and William
- Selected for Oral Presentation and Received Student Travel Award at ISBI 04: 2004 IEEE International Symposium on Biomedical Imaging: From Nano To Macro, Arlington, VA.
- Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
- Prior Information for Brain Parcellation Kilian Maria Pohl
- Automatically identifying structures in MRI images has proven challenging. Without prior shape information, even the most advanced intensity-based methods have difficulties capturing weakly-visible boundaries. We present a new
- A Unified Framework for MR Based Disease Classification
- Logarithm Odds Maps for Shape Representation Kilian M. Pohl1,2, John Fisher2, Martha Shenton1, Robert W. McCarley1, W. Eric L.
- Kilian M. Pohl Healthcare Informatics 650 Harry Road
