Dr. Iván Cabria of University of Valladolid

The process of manually generating precise segmentations of tumors from Magnetic Resonance Images, MRI, is time-consuming and error-prone. Development and application of algorithms to segment tumors in MRIs can improve or complement the manual segmentations done by medical experts, but not replace them. We present some of those algorithms. The performance of the algorithms on the publicly available Brain Tumor Image Segmentation, BRATS, MRI benchmark database is evaluated. A database of anonymized MRIs of uveal melanoma is also being created and the algorithms are being applied to that database, in a multidisciplinary collaborative research with radiologists and medical experts of a University Hospital.

Biography:

Iván Cabria is an Associate Professor at University of Valladolid (Spain). He received his PhD from University of Cantabria (Spain) in 1998. His research interests are in the areas of gas storage on nanostructures and structural and electronic properties of graphene and nanotubes. He got a ”Ramón y Cajal” five years research contract and has more than 50 papers in peer reviewed publications. Currently he is the Heaps Visiting Chair Professor in Computing Science at St Francis Xavier University, Canada.

Address:Department of Theoretical Physics, Department of Theoretical Physics University of Valladolid, Valladolid, Spain

Dr. Iván Cabria of University of Valladolid

Biography:

Address:Valladolid, Spain