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Dr. rer. nat. Oliver Weinheimer, Dipl. Math. 

Medical Image Analysis Scientist
Principal Investigator of Translational Lung Research Center (TLRC) Heidelberg

Universitätsklinikum Heidelberg, Diagnostische & Interventionelle Radiologie (DIR)

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Oliver Weinheimer received a diploma in mathematics at the JGU Mainz in 2001. At this time, he got interested in medical image processing. He earned a doctorate degree in computer science in 2007. Focus of his work is the analysis of the lung parenchyma and the airways in CT images. In 2010 he received a DFG Research Grant for his project “Development and validation of an automatic method for the determination of the bronchial geometry from MDCT data”. Three years later he moved to the lung research group in Heidelberg. Dr. Weinheimer is Principal Investigator at the Translational Lung Research Center Heidelberg (TLRC) since 2021.

Expertise

His most significant contribution to pulmonary imaging is the integral based method (IBM) for precise determination of the 3D airway geometry on CT images. He is a research fellow of the German Center of Lung Research (DZL) and member of the Translational Lung Research Center Heidelberg (TLRC). Oliver Weinheimer is the principal developer of the software system YACTA, a well-established research tool for the automatic lung CT image quantification, a tool that makes big data analysis possible.

  • Quantitative lung CT analysis
  • Fusion of images of different modalities

Platform Imaging

1.Bertram J. Jobst, Oliver Weinheimer, Torben Buschulte, Mila Trauth, Jan Tremper, Stefan Delorme, Nikolaus Becker, Erna Motsch, Marie-Luise Groß, Anke Trotter, Monika Eichinger, Hans-Ulrich Kauczor, and Mark O. Wielpütz. Longitudinal airway remodeling in active and past smokers in a lung cancer screening population. European Radiology, Dec 2018.

2. Sundaresh Ram, Benjamin A Hoff, Alexander J Bell, Stefanie Galban, Aleksa B, Fortuna, Oliver Weinheimer, Mark O Wielpütz, Terry E Robinson, Beverley Newman, Dharshan Vummidi, et al. Improved detection of air trapping on expiratory computed tomography using deep learning. Plos one, 16(3):e0248902, March 2021

3. Philip Konietzke, Mark O. Wielpütz, Willi L. Wagner, Felix Wuennemann, Hans- Ulrich Kauczor, Claus P. Heussel, Monika Eichinger, Ralf Eberhardt, Daniela Gompel- mann, and Oliver Weinheimer. Quantitative ct detects progression in copd patients with severe emphysema in a 3-month interval. European Radiology, Jan 2020

4.Oliver Weinheimer, Benjamin A. Hoff, Aleksa B. Fortuna, Antonio Fernández-Baldera, Philip Konietzke, Mark O. Wielpütz, Terry E. Robinson, and Craig J.Galbán. Influence of inspiratory/expiratory ct registration on quantitative air trapping. Academic Radiology, Dec 2018.

5. Oliver Weinheimer, Mark O. Wielpütz, Philip Konietzke, Claus P. Heussel, Hans-Ulrich Kauczor, Christoph Brochhausen, David Hollemann, Dasha Savage, Craig J. Galbán, and Terry E. Robinson. Fully automated lobe-based airway taper index calculation in a low dose mdct cf study over 4 time-points. In Martin A. Styner and Elsa D. Angelini, editors, Medical Imaging 2017: Image Processing, SPIE Proceedings, page 101330U. SPIE, 2017.

 

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