All posts by Michael Reiter

PhD Position, Analysis of Flow Cytometry Data, project MyeFLOW

Background Acute myeloid leukemia (AML) is the second most frequent leukemia entity in children and adolescents, and definitely the most aggressive variant. Despite continued progress and refinement of therapeutic approaches, about 35% of pediatric patients with the disease still suffer from relapse. Multiparameter flow-cytometry (FCM) is one of the methodologies most useful to monitor the … Continue reading PhD Position, Analysis of Flow Cytometry Data, project MyeFLOW

Dermoscopic Image Analysis by Deep Learning

Status: available Supervisor: Michael Reiter, Christopher Pramerdorfer The purpose of this work is to classify sequences of dermatoscopy images as “changing” or “not changing”. The term “change” refers to a depicted mole or skin lesion, and a given sequence should be classified as “changing” if the depicted mole changes in a form that indicates  a tumor, not simply … Continue reading Dermoscopic Image Analysis by Deep Learning