Jun. Prof. Dr. Sandy Engelhardt
Forschungsgruppenleiterin
(AG Artificial Intelligence in Cardiovascular Medicine)
Wiss. Mitarbeiterin
(Klinik für Herzchirurgie)
Wiss. Mitarbeiterin
(Klinik für Kardiologie, Angiologie, Pneumologie)
Schwerpunkt
Medical Image Processing, Deep Learning, Computer-assisted Surgery
Ärztlicher / Beruflicher Werdegang
- November 2016
Graduation Dr.sc.hum. with distinction (summa cum laude)
at the Medical Faculty of the Ruprecht-Karls-University Heidelberg, Germany- November 2012 – November 2016
PhD Student at the German Cancer Research Centre (DKFZ),
Division for Medical and Biological Informatics- August 2012
Master of Science (M.Sc.) with distinction
- Januar 2011 – Juli 2011
Semester abroad studying Biomedical Engineering,
University of Cape Town, Cape Town, South Africa- Januar 2011 – Juli 2011
Internship at the Cape Universities Brain Imaging Center,
Tygerberg Hospital, Cape Town, South Africa- September 2006 – Juli 2012
Bachelor and Master studies Computervisualistik,
University Koblenz-Landau, Germany
Wissenschaftlicher Werdegang
- seit Dezember 2019
Head of Working Group “Artificial Intelligence in Cardiovascular Medicine” (AICM), University Hospital Heidelberg
- April 2018 – Dezember 2019
Head of Research Group “Heart” at Research Campus STIMULATE, Magdeburg, Germany
- April 2018 – November 2019
Postdoctoral Research Scientist at University of Applied Science, Mannheim
- Oktober 2017 – März 2018
Visiting Lecturer and Postdoctoral Research Scientist at Working Group “Computer-assisted Surgery“ and Working Group “Visualization“, Otto-von-Guericke University Magdeburg, Germany
- Juli 2017 – September 2017
Postdoctoral Research Scientist in the Department of Cardiac Surgery, Heidelberg University Hospital, Germany
- November 2016 – Juni 2017
Postdoctoral Research Scientist in the Division of Computer-Assisted Medical Interventions, DKFZ Heidelberg, Germany
- November 2012 – Juni 2017
Member of the Collaborative Research Center SFB/TRR 125
Cognition Guided Surgery, Project B01:
Knowledge-based Assistance System for Reconstructive Valve Surgery
Auszeichnungen
- Oktober 2019
DAAD-Travel Scholarship (1.217 €)
- Oktober 2018
3rd Place EACTS Techno-College Innovation Award by the European Association for Cardio-Thoracic Surgery (EACTS), Milan, Italy
- September 2018
DAAD-Travel Scholarship (1.220 €)
- April 2018
Runner-up conhIT Young Academics Award for Simon Sauerzapf’s Bachelorthesis, Berlin, Germany (Supervision) (1.000 €)
- September 2017
Winner MICCAI Challenge Automated Cardiac Diagnosis Challenge (ACDC) – 1st place Subchallenge Segmentation of multiple cardiac structures with Deep Learning, 2nd place Subchallenge Classification, MICCAI-STACOM, Quebec, Canada
- März 2017
BVM-Award 2017 for the best dissertation in the field of Medical Image Processing at Workshop Bildverarbeitung für die Medizin, Heidelberg, Germany (500 €)
- März 2016
Runner-up Best Paper Award at Workshop Bildverarbeitung für die Medizin, Berlin, Germany (Second Author) (300€)
- Oktober 2015
Runner-up EACTS Techno-College Innovation Award by the European Association for Cardio-Thoracic Surgery (EACTS), Amsterdam, Netherlands
- Juli 2015
Friedrich Wingert Scholarship for Silvio Kolb (Supervision) (5.000€)
- April 2015
Runner-up conhIT Young Academics Award for Silvio Kolb's Bachelor thesis, Berlin, Germany (Supervision) (500€)
- September 2014
Best Paper Award at MICCAI -Workshop Augmented Environments for Computer Assisted Interventions (AE-CAI), Boston, USA ($300)
- März 2014
Best presentation award at Workshop Bildverarbeitung für die Medizin, Aachen, Germany (300 €)
- Oktober 2010
Runner-up IEEE Visualization Contest (Honorable Mention)
An Exploration and Planning Tool for Neurosurgical Interventions- September 2009 – August 2010
Scholarship of German National Academic Foundation