Ivo Baltruschat, M.Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 213
22529 Hamburg

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude C, Raum 2.019
Schwarzenbergstraße 95C
21073 Hamburg

Tel.: 040 / 7410 25813
E-Mail: i.baltruschat@uke.de
GitHub: https://github.com/Ivo-B

Research Interests

Machine Learning            Medical Image Processing            Computer Vision            Deep Learning

My current research covers the automatic analysis of medical x-ray images using machine learning methods. Our objective is to apply deep learning methods to high-resolution medical x-ray images. In the long-term, we are pursuing the goal to employ deep learning methods in order to find patterns between medical reports and medical x-ray images that will help to push the state-of-the-art in computer-aided diagnosis for chest x-ray images.

Curriculum Vitae

Ivo Baltruschat studied Information and Electrical Engineering at the University of Applied Sciences, Hamburg between 2010 and 2014. In 2016, he finished his Master of Science in medical engineering science at the Universität zu Lübeck with his thesis on Deep Learning for Advanced Medical Applications. Currently, he is a PhD student in the group of Tobias Knopp and his research covers Deep Learning methods for automatic analysis of clinical X-ray images.

Student Project

If you are looking for a supervisor for a student project (B.Sc./M.Sc.), please don't hesitate to contact me. In general, I am always looking for highly motivated students to work on medical image analysis problems with deep learning.

Open topics:
  • Multi-View Classification
  • Pre-Processing for Deep Learning
  • Generative Adversarial Network (multiple applications)

Awards

  • Poster Award SPIE Medical Imaging 2018

     awarded with the Honorable Mention Poster Award for my contribution:

    "Orientation Regression in Hand Radiographs: A Transfer Learning Approach"

    at the SPIE Medical Imaging Houston, USA, 02/17/2018.

Publications

  • I. M. Baltruschat, A. Saalbach, M. P. Heinrich, H. Nickisch, S. Jockel (2018). Orientation Regression in Hand Radiographs: A Transfer Learning Approach. Proc.SPIE 10574-67. [BibTex]

  • I. M. Baltruschat, H. Nickisch, M. Grass, T. Knopp, A. Saalbach (2018). Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. arXiv preprint arXiv:1803.02315 [BibTex]

  • I. M. Baltruschat, M. Hensel, M. P. Heinrich (2016). Automatic Orientation Detection of Hand Structures in Digital X-Ray Images. Student Conference Medical Engineering Science, Lübeck Germany, Publisher Infinite Science Publishing [BibTex]