Image Analysis

Onur Ganiler defends his PhD thesis: “Automated detection of new Multiple Sclerosis lesions in longitudinal brain magnetic resonance imaging”

  This thesis deals with the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance (MR) imaging. This disease is characterized by the presence of lesions in the brain, predominantly in the white matter (WM) tissue of the brain. The detection and quantification of new lesions are crucial to follow-up MS patients. Moreover, the manual detection of these new lesions is not only time-consuming, but is also…

PhD Vicorob

MARC MASIAS defends his PhD thesis: “Automatic source detection in astronomical images”

This thesis is focused on the automatic detection of sources (objects) in astronomical images. These sources are something that suggests the presence of an astronomical object such as stars, galaxies, gas, dust or cosmic rays. The use of automatic algorithms to perform such a task becomes of great importance in the astronomical field because of the increasing amount of data and the inefficiency and inaccuracy of manual inspection.   In…

image analysis

Konstantin Korotkov defends his PhD thesis “Automatic change detection in multiple pigmented skin lesions”

Malignant melanoma is the rarest and deadliest of skin cancers causing three times more deaths than all other skin-related malignancies combined. Fortunately, in its early stages, it is completely curable, making a total body skin examination (TBSE) a fundamental procedure for many patients. During TBSE, dermatologists look for pigmented skin lesions (PSLs) exhibiting typical melanoma signs as well as PSLs undergoing the rapid changes characteristic of cancer. Accompanied by clinical…