Johannes Kiechle, MSc

PhD Candidate in Medical Image Analysis

Institute for Computational Imaging and AI in Medicine, Technical University of Munich

I am a PhD candidate at the Institute of Computational Imaging and AI in Medicine, Technical University of Munich. My research is centered around relational modeling of medical imaging data to improve tumor downstream characterization using graph neural networks. Previously, I completed my M.Sc in Electrical Engineering at TUM and B.Eng in Electrical and Computer Engineering at Hochschule München.

News

Selected Publications

Education

2023 – present
PhD in Computer Science, Technical University of Munich (TUM)
2020 – 2023
M.Sc in Electrical and Computer Engineering, Technical University of Munich (TUM)
2018 – 2019
Exchange Semester, Technical University of Denmark (DTU)
2015 – 2019
B.Eng in Electrical Engineering and Information Technology, Munich University of Applied Sciences

Experience

2023 – present
Research Associate, Klinikum rechts der Isar, Munich
2022
Visiting Researcher, University of Alberta, Edmonton
2021 – 2022
Working Student, Siemens Mobility GmbH, Munich
2020 – 2021
Working Student, Siemens AG, Munich
2019 – 2020
Intern, Infineon Technologies Asia Pacific, Singapore
2019
Bachelor Thesis, Infineon Technologies AG, Munich

Awards & Scholarships

2026
Best Presentation Award, MICCAI GRAIL
2024
Best Paper Runner-Up Award, MICCAI GRAIL
2023
Scholarship, University of Alberta Research Experience
2023
DAAD IFI Research Scholarship, Master thesis abroad
2023 – present
Research Associate Scholarship, Munich Center for Machine Learning (MCML)
2023 – present
Research Associate Scholarship, Konrad Zuse School of Excellence in Reliable AI (relAI)
2020
Best Customer Orientation and Usability Award, Siemens Summer Camp Digital Twins