Nikola Cenikj

Nikola Cenikj is a Doctoral researcher at the Chair of Artificial Intelligence in Medicine and a data science researcher within the Department of Cardiology at Klinikum Rechts der Isar. He earned a master's degree in Informatics from the Technical University of Munich, specializing in Data Science. His master's thesis focused on the spatio-temporal encoding of cardiac MRI images. His current research is dedicated to the multimodal analysis of angiography and ECG data to advance stenosis detection methodologies.

Interests:

• Deep Learning
• Medical Image Computing
• Multimodal Learning

Education:

• MSc Informatics, 2023, 
  Technical University of Munich, Germany
• BSc Informatics, 2021, 
  Eötvös Loránd University, Hungary