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Fakultät Wirtschaftsinformatik und Angewandte Informatik

Lehrstuhl für Erklärbares Maschinelles Lernen

  1.  Otto-Friedrich-Universität Bamberg
  2. Fakultäten
  3. Wirtschaftsinformatik und Angewandte Informatik
  4. Professuren und Lehrstühle
  5. Angewandte Informatik
  6. Lehrstuhl für Erklärbares Maschinelles Lernen
  7. Mitarbeiter
  8. Sebastian Dörrich, M.Sc.

Sebastian Dörrich

Sebastian Dörrich

Teaching and Research Assistant

M.Sc., Doctoral Candidate

Anschrift:      An der Weberei 5, 96047 Bamberg
Raum:            WE5/04.085

Telefon:        +49-951-863-2961

E-mail:            sebastian.doerrich(at)uni-bamberg.de

Sprechstunde:
im Vorlesungszeitraum: Donnerstag 13.00 bis 14.00 in WE5/04.085 (Anmeldung per Email empfohlen)
außerhalb: nach Vereinbarung

Biography:

Sebastian Dörrich is a dedicated PhD candidate at the Otto-Friedrich University of Bamberg, specializing in the field of Explainable Machine Learning (xAI) since 2022.
With a focus on developing robust and data-efficient machine learning methods, Sebastian's research has versatile applications in industries and especially healthcare.

Prior to his doctoral studies, Sebastian gained valuable experience as a Graduand at Siemens Healthcare GmbH, Imaging and Therapy Systems division in 2021, where he worked on the automatic localization and standard plane regression of vertebral bodies within intra-operative 3D CBCT volumes using deep learning techniques.
He also undertook an internship and served as a student assistant at the Siemens Healthineers' Advanced Therapies division from 2019 to 2020, contributing to the migration and optimization of calibration for mobile C-arm systems and developing models to eliminate the weight-based tilt of operating tables.

During his academic journey, Sebastian actively engaged in research and development projects.
At Fraunhofer IIS, he worked on the development of an automatic flow-rating system for exercises based on tracking and event data.
He also participated in the Interactive Media Technology Center at Georgia Tech as part of Team “Penrose”, contributing to the development of a 3D perspective platformer game within the Unity environment.
Additionally, Sebastian was part of Team “Extegy” at the Machine Learning and Data Analytics Lab at FAU, where he developed a user-friendly app to provide the shortest and safest exit path to users in case of an emergency.

Sebastian holds a Master's degree in Medical Engineering from Friedrich-Alexander-University, Erlangen-Nuremberg, with a special focus on algorithmics.
He further pursued his academic career by attending the Master's program in Computer Science at the Georgia Institute of Technology, specializing in AI and Deep Learning.
His Bachelor's degree in Medical Engineering from Friedrich-Alexander-University focused on medical imaging and data processing.

Beyond his academic pursuits, Sebastian is passionate about environmental protection and sustainability. In his free time, he enjoys soccer, jogging, and hiking.

Profiles:  Google Scholar, LinkedIn, X, GitHub, ORCiD, ResearchGate, FIS, XING

2022 - Today                                         PhD Candidate at the xAI Lab of the Otto-Friedrich University Bamberg, Germany
2021Research associate for the development of a 3D perspective platformer game at Interactive Media Technology Center, Georgia Institute of Technology, US
2021 - 2022Computer Science at the College of Computing, Georgia Institute of Technology, US (Master of Science)
2021Graduand for the automatic localization and standard plane regression of vertebral bodies within intra-operative 3D CBCT volumes at Siemens Healthineers, Germany
2020Research associate for the development of an app to provide a user with a safe escape route at Machine Learning and Data Analytics Lab, Friedrich-Alexander University Erlangen-Nuremberg, Germany
2020Research assistant for the development of a model to eliminate the weight-based tilt of operating tables at Siemens Healthineers, Germany
2019 - 2022Medical Engineering at the Faculty of Engineering, Friedrich-Alexander University Erlangen-Nuremberg, Germany (Master of Science)
2019Internship concerning the optimization of the calibration process for mobile C-arm systems at Siemens Healthineers, Germany
2018Graduand for the development of an automatic flow-rating for exercises based on tracking data at Fraunhofer IIS, Germany
2017Tutor for medical engineering students at the Chair for Technical Electronics, Friedrich-Alexander University Erlangen-Nuremberg, Germany
2015 - 2019Medical Engineering at the Faculty of Engineering, Friedrich-Alexander University Erlangen-Nuremberg, Germany (Bachelor of Science)

 

Main Research Interests

  • Applying advanced machine learning techniques to healthcare contexts
  • Studying methods to improve a model's resistance to noisy or out-of-distribution data
  • Exploring how corruption revision improves model performance and generalization
  • Researching novel approaches to learn meaningful representations from unlabeled data
  • Examining factors that contribute to improved model generalization across different domains
  • Investigating how orthogonalization enhances the interpretability of features

2024

  • Sebastian Doerrich, Tobias Archut, Francesco Di Salvo and Christian Ledig. "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification". 2024 IEEE International Symposium on Biomedical Imaging (ISBI). 2024 Paper Preprint Code

2023

  • Sebastian Doerrich, Francesco Di Salvo, and Christian Ledig. "unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features". Machine Learning in Medical Imaging (MLMI). 2023. Paper Preprint Code
  • Sebastian Doerrich, Florian Kordon, Felix Denzinger, Jan S. El Barbari, Maxim Privalov, Sven Y. Vetter, Andreas Maier, and Holger Kunze. "Fast 3D YOLOv3 based standard plane regression of vertebral bodies in intra-operative CBCT volumes". Journal of Medical Imaging 10(3) 034503. 2023. Paper

Master's Thesis

  • Sebastian Doerrich. "Localization and Standard Plane Regression of Vertebral Bodies in Intra-Operative CBCT Volumes".Master's Thesis. Friedrich-Alexander University Erlangen-Nuremberg. 2021. (unpublished)

Bachelor's Thesis

  • Sebastian Doerrich. "Development of a Flow-Rating for Exercises based on Tracking and Event Data".Bachelor’s Thesis, Friedrich-Alexander University Erlangen-Nuremberg. 2018. (unpublished)

Thesis Supervision

Please check out our official bidding for thesis topics [Link to VC-Course] or contact me directly via email to request supervision of your Bachelor’s or Master’s Thesis.

WS24/25

  • xAI-DL-M: Deep Learning Exercises
  • xAI-Sem-B1: Bachelor Seminar Explainable Machine Learning

SS24

  • xAI-Proj-B: Bachelor Project Explainable Machine Learning
  • xAI-Sem-M1: Master Seminar Explainable Machine Learning

WS23/24

  • xAI-DL-M: Deep Learning Exercises
  • xAI-Sem-B1: Bachelor Seminar Explainable Machine Learning

SS23

  • xAI-Proj-B: Bachelor Project Explainable Machine Learning

WS22/23

  • xAI-DL-M: Deep Learning Exercises
  • xAI-Sem-B1: Bachelor Seminar Explainable Machine Learning

 

 

 

 

  • 2nd Place MedtecLIVE Talent Award 2022 [Article]
  • 3rd Place DMEA Newcomer Award 2022 [News, Video]
  • Top 5 WGKT Innovation Award 2022
  • Graduation Award issued by The German Physical Society 2015