SAS
PhD study program: Measurement Technology
Academic year: 2026-2027
Advisor: Mgr. Andrej Krafčík, PhD. (andrej.krafcik@savba.sk)
External educational institution: Institute of Measurement Science SAS
Accepting university: Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Institute of Electrical Engineering
Automation of processes in the processing of biomedical image/volumetric/multimodal data using neural networks as deep learning methods is currently becoming a standard not only for scientific purposes, but also in clinical practice, thanks to their acceleration, efficiency, repetition capabilities, and thus allows focusing on their evaluation instead of their time-consuming and expertly demanding manual processing. In addition to such commonly existing tools in practice, for the purposes of biomedical research it is necessary to work with original procedures for processing such data in large datasets or real cohorts of patients for the purposes of currently solved studies. The current challenge is the processing of volumetrically large whole-body MRI data. The aim of the dissertation is to develop a methodology and apply algorithms for the efficient processing of measured whole-body MRI data depicting fat tissue and muscle mass using deep learning methods. The topic is suitable for a graduate with knowledge of biomedicine, as well as knowledge of at least one programming language. Python will be used for the design and implementation of neural networks using the TensorFlow module. Knowledge of TensorFlow is an advantage. As part of the study, the doctoral student will become familiar with MRI devices theoretically and practically, as well as with the principles and practical implementation of convolutional neural networks for data processing. The purpose is to solve ongoing scientific studies in cooperation with the Department of Internal Medicine III, Division of Endocrinology and Metabolism and Department of Biomedical Imaging and Image-Guided Therapy, High-Field MR Center, Medical University of Vienna, Austria. The dissertation will be solved in cooperation with a partner external educational institution at the Institute of Measurement Science of the Slovak Academy of Sciences in Bratislava.