M.Sc.

Julian Thull

Research Scientist

 138
 +49 241 80 27876
 julian.thull@lfb.rwth-aachen.de


Curriculum Vitae

Nov 2024 – present
 Research Scientist, Institute of Imaging & Computer Vision, RWTH Aachen University, Germany
Aug 2023 – Oct 2024
 Research Scientist, Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany
Apr 2022 – Jul 2023
 Research Scientist, Institute of Imaging & Computer Vision, RWTH Aachen University, Germany
Apr 2019 – Mar 2022
 M. Sc. Computer Science, RWTH Aachen University, Germany
Oct 2015 – Feb 2019
 B. Sc. Computer Science, RWTH Aachen University, Germany

Research Field

Thesis Topics

 

 Various Topics in Positron-Emission-Tomography: From Scanner Calibration To Image Reconstruction
Contact: Julian Thull
More information about the research project

Journal Publications

 
2024

Yannick Kuhl, Florian Mueller, Julian Thull, Stephan Naunheim, David Schug and Volkmar Schulz
3D in-system calibration method for PET detectors
In: Medical Physics

Conference Publications

2024

Julian Thull, Florian Mueller and Volkmar Schulz
Sinogram-based Alignment Estimation of PET Detector Blocks
In: 2024 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)

2023

Martina Crysandt Julian Thull
Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
In: Blood 142 (Supplement 1)

2022

Julian Thull Philipp Gräbel
Automatic Embedding Interventions for the Classification of Hematopoietic Cells
In: 26th International Conference on Pattern Recognition (ICPR)

2022

Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof
Spatial Maturity Regression for the Classification of Hematopoietic Cells
In: IEEE International Conference on Image Processing Theory and Tools and Applications (IPTA)

2022

Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof
Analysis of automatically generated embedding guides for cell classification
In: IEEE International Conference on Image Processing Theory and Tools and Applications (IPTA)

Supervised Theses

  • Jan Remennik, “Utilizing Neural Network Approaches for Confidence-aware Gamma Position Estimation in Positron Emission Tomography”, Bachelor Thesis