Jun. Prof. Dr. Sandy Engelhardt, M.Sc.

Head of Working Group ‘Artificial Intelligence in Cardiovascular Medicine’,
University Hospital Heidelberg

Working Group “Artificial Intelligence in Cardiovascular Medicine”


2006 – 2009 Bachelor Studies Computervisualistik
University Koblenz-Landau
2009 – 2012 Master Studies Computervisualistik
University Koblenz-Landau
2010 Research Assistent in the field of Medical Visualization for Neurosurgery, Working Group Computer Graphics (Prof. Stefan Müller), University Koblenz-Landau
2011 Internship
Cape Universities Brain Imaging Center,
Tygerberg Hospital, Cape Town, South Africa
2011 Semester abroad “Biomedical Engineering”
University of Cape Town
Cape Town, South Africa
2012 Master of Science (M.Sc.) with distinction
2012 – 2016 PhD Student
German Cancer Research Centre (DKFZ)
Division for Medical and Biological Informatics
2012 – 2017 Member of the Collaborative Research Center SFB/TRR 125 Cognition Guided Surgery, Project B01: Knowledge-based Assistance System for reconstructive valve surgery
2016 Graduation Dr.sc.hum. (summa cum laude)
Medical Faculty of the Ruprecht-Karls-University Heidelberg, Germany
2016 – 2017 Postdoctoral Research Scientist
Division: Computer-Assisted Medical Interventions
Working Group: MITK
DKFZ, Heidelberg
2017 Postdoctoral Research Scientist
Department of Cardiac Surgery
University Hospital Heidelberg
2017 – 2018 Visiting Lecturer and
Postdoctoral Research Scientist
Working Group „Computer-assisted Surgery“
Working Group „Visualization“
Otto-von-Guericke University Magdeburg
Since 2018 Head of Research Group „Heart”
Research Campus STIMULATE
Magdeburg, Germany
Since 2019 Head of Working Group ‘Artificial Intelligence in Cardiovascular Medicine’, University Hospital Heidelberg



2009 – 2012 Scholarship of German National Academic Foundation
2010 Runner-up IEEE Visualization Contest
“An Exploration and Planning Tool for Neurosurgical Interventions”
2014 Best presentation Award at Workshop “Bildverarbeitung für die Medizin”, Aachen
2014 Best Paper Award
MICCAI -Workshop “Augmented Environments for Computer Assisted Interventions (AE-CAI)” Boston, USA
2015 Runner-up conhIT Young Academics Award for Silvio Kolb’s Bachelorthesis, Berlin
2015 Friedrich Wingert Scholarship for Silvio Kolb
2015 Runner-up EACTS Techno-College Innovation Award by the European Association for Cardio-Thoracic Surgery (EACTS)
Amsterdam, Netherlands
2016 Runner-up Best Paper Award at Workshop “Bildverarbeitung für die Medizin”, Berlin
2017 BVM-Award 2017 for the best dissertation in the field of Medical Image Processing
Workshop “Bildverarbeitung für die Medizin”, Heidelberg
2017 Winner MICCAI Challenge „Automated Cardiac Diagnosis Challenge“ (ACDC)
Subchallenge: Segmentation of multiple cardiac structures with Deep Learning (Winner)
Subchallenge: Classification, MICCAI-STACOM Quebec, Canada (Runner-up)
2018 Runner-up conhIT Young Academics Award for Simon Sauerzapf’s Bachelorthesis, Berlin



Sharan, L., Romano, G., Koehler, S., Karck, M., De Simone, R., Engelhardt, S., Mutually improved endoscopic image synthesis and landmark detection in  unpaired image-to-image translation. IEEE Journal of Biomedical and Health Informatics, 26(1), 2022, Pages 127 – 138, 10.1109/JBHI.2021.3099858.

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, IEEE Transactions on Medical Imaging, 40(10): 2939-2953, doi: 10.1109/TMI.2021.3052972.

Sharan, L., Romano, G., Brand, J., Kelm, H., Karck, M., De Simone, R., Engelhardt, S. Point detection through multi-instance deep heatmap regression for sutures in endoscopy, Int J Comput Assist Radiol Surg. 2021 Dec;16(12):2107-2117. doi: 10.1007/s11548-021-02523-w.

Engelhardt, S., De Simone, R., Full, P.M., Karck, M., Wolf, I. (2018). “Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries”. 21st conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2018.

Engelhardt, S., Wolf, I., Al-Maisary, S., Schmidt, H., Meinzer, H.-P., Karck, M., De Simone, R., 2016. „Intraoperative Quantitative Mitral Valve Analysis Using Optical Tracking Technology.” In: The Annals of Thoracic Surgery 101(5): 1950–1956.

Engelhardt, S., De Simone, R., Al-Maisary, S., Kolb, S., Karck, M., Meinzer, H.-P., Wolf, I., 2016. “Accuracy evaluation of a mitral valve surgery assistance system based on optical tracking.” In: International Journal of Computer Assisted Radiology and Surgery 11(10), 1891–1904.

Engelhardt, S., Lichtenberg, N., Al-Maisary, S., De Simone, R., Rauch, H., Roggenbach, J., Müller, S., Karck, M., Meinzer, H.-P., Wolf, I., 2015. “Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound.” In: Functional Imaging and Modeling of the Heart, Lecture Notes in Computer Science. Springer International Publishing, pp. 137–145.