portrait photo
  • Dr. Christian Martin
  • christian [dot] martin [at] informatik [dot] uni-leipzig [dot] de
  • +49 341 97 39306

  • ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig, Humboldtstrasse 25, 3.OG, 04105 Leipzig

About

  • since 2020: Coordination of Life Science & Medicine projects in Transfer & Service at ScaDS.AI
  • since 2019: Research Associate at ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig
  • 2008 - 2019: Software Developer and Research Associate at Loeser/Meierhofer Medizintechnik GmbH
  • 2003 - 2008: Research Associate at Biodata Mining Group, University of Bielefeld
  • Graduation: Dr.-Ing., University of Bielefeld, 2009
  • Diploma in Computer Science, University of Bielefeld, 2003

Research Interests

  • Machine Learning
  • Statistical Learning
  • Life Science & Medicine
  • Personalized Medicine
  • Biomedical Data Analysis
  • Deep Learning
  • Image Processing
  • Radiomics

Projects

  • GRAMMY (ERA PerMed): InteGRAtive analysis of tuMor, Microenvironment, immunitY and patient expectation for personalized response prediction in Gastric Cancer
  • MIRACLE (ERA PerMed): A Machine learning approach to Identify patients with Resected non-small-cell lung cAnCer with high risk of reLapsE
  • SaxoCell
  • Radiomics
    • Classification of cancer types
    • Rupture risk prediction of aneurysms
    • Image Prediction

Tools

  • Predict rupture risk of intracranial aneurysm: Webtool

Talks

  • Personalized Medicine and Cancer Research at ScaDS.AI. Innovationsworkshop Künstliche Intelligenz in der Krebsforschung und -behandlung, 2022-07

Betreute Abschlussarbeiten (4)

Jahr Typ Student Titel Status
2022 M. Sc. Mohammad Issa Automatische Detektion und Segmentierung von Fahrspuren im Automotive Bereich (Kooperation mit ASAP ENGINEERING GmbH) Running
2024 M. Sc. Julius Ellermann Prediction of Contrast Enhanced MAMMA MRI sections using Image Data Augmentation and Deep Learning Finished
2024 M. Sc. Jan Philipp Zimmer Data Augmentation for Cervix Cancer Classification with Deep Neural Networks Finished
2023 M. Sc. Marlene Mertens Classification of Cervical Cancer using Deep Neural Finished

Publications (1)

Dateien Cover Beschreibung Jahr
Machine Learning for Rupture Risk Prediction of Intracranial Aneurysms: Challenging the PHASES Score
Walther, G. ; Martin, C. ; Haase, A. ; Nestler, U. ; Schob, S.
Symmetry 2022, 14(5), 943, Special Issue \"Neuroscience and Molecular Sciences\"
2022 / 5