Portrait von Sven Köhler, M.Sc.
Sven Köhler, M.Sc.

Wiss. Mitarbeiter (AG Artificial Intelligence in Cardiovascular Medicine)
Wiss. Mitarbeiter (Klinik für Herzchirurgie)
Wiss. Mitarbeiter (Klinik für Kardiologie, Angiologie, Pneumologie)


Computer Vision, Deep Learning and Motion analysis in Cardiovascular medicine

06221 56-310341

AG Artificial Intelligence in Cardiovascular Medicine

Ärztlicher / Beruflicher Werdegang

seit Februar 2020

 DL Software Developer (full time) – University Hospital, Heidelberg

  •  Research Topics: vision recognition, semantic segmentation, spatial transformers and optical flow in the domain of CMR images of children with congenital heart defects
August 2018 – Februar 2020

 DL Research Assistant (part time)- University of Applied Sciences, Ma

  •  Research Topics: Deep learning, image analysis, technical drawings, Image classification, text & symbol detection/recognition
  • Master Thesis: Deep learning, motion analysis, CMR data of patients with congenital heart diseases, semantic segmentation, model generalisation, optical flow, surveillance prediction
Oktober 2017 – August 2018

DL Software Developer (part time) – SAP SE, COE Deep Learning

  • Improvements of general text classification models
  • Development and research of fair DL principles
Februar 2017 – September 2017

ML Software Developer (part time) – SAP SE, Machine Learning Platform

  • Bachelor Thesis: Implementing different ML models as RESTful service
  • Classification, compression and visualization of text data

Wissenschaftlicher Werdegang

September 2017 – Februar 2020

University of Applied Sciences, Mannheim
Software-Engineering: Master of Science

September 2013 – September 2017

 University of Applied Sciences, Mannheim
 Computer Science: Bachelor of Science

Scholarships, special programs and publications


Koehler, S., Hussain, T., Blair, Z., Huffaker, T., Ritzmann, F., Tandon, A., Pickardt, T., Sarikouch, S., Latus, H., Greil, G., Wolf, I., Engelhardt, S.
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
In: IEEE Transactions on Medical Imaging 2021


Koehler, S., Tandon, A., Hussain, T., Latus, H., Pickardt T., Sarikouch, S., Beerbaum, B., Greil, G., Engelhardt, S., and Wolf, I.
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?
In: Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113151K (16 March 2020)

November 2019 – Dezember 2019

Scholarship for education and training abroad. Awarded by the German Academic Exchange Service (DAAD).


Selected for the SAP Fast Track program.

September 2017 – Februar 2019

Upgrading Masters Scholarship of the Federal Ministry of Education and Research (awarded by the SBB).

2017 – 2018

 Selected for the Design Thinking Masters program with Stanford (ME310). Topic: Sustainable logistic concepts based on latest technologies.

September 2013 – Februar 2017

Upgrading Scholarship for the first academic degree. Funded by the Federal Ministry of Education and Research (awarded by the SBB).