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Inhalt

Books & Book Chapters

Journal Papers

C. Tönnes, C. Licht, L. Schad and F. Zöllner.
VirtMRI: A Tool for Teaching MRI.
J Med Syst, 2023, 47 (1) .

C. Tönnes and F. Zöllner.
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST.
Appl Sci, 2023, 13 (16), p.9179 .

D. Bauer, J. Rosenkranz, A. Golla, C. Tönnes, I. Hermann, T. Russ, G. Kabelitz, A. Rothfuss, L. Schad, J. Stallkamp and F. Zöllner.
Validation of an oligometastatic disease diagnosis workow 1using an abdominal phantom.
Med Phys, 2022, p.in Press

C. Tönnes, T. Russ, L. Schad and F. Zöllner.
Feature-based CBCT Self-Calibration forArbitrary Trajectories.
Int J CARS, 2022, p.in Press

D. Bauer, T. Russ, B. Waldkirch, C. Tönnes, W. Segars, L. Schad, F. Zöllner and A. Golla.
Generation of annotated multimodal ground truth datasets for abdominal medical image registration.
Int J Comput Ass Rad, 16 (8), pp.1277-1285 (2021).

A. Golla, D. Bauer, R. Schmidt, T. Russ, D. Nörenberg, K. Chung, C. Tönnes, L. Schad and F. Zöllner.
Convolutional Neural Network EnsembleSegmentation with Ratio-based Sampling for theArteries and Veins in Abdominal CT Scans.
IEEE Trans. Biomed. Eng., 68 (5), pp.1518-1526 (2021).

A. Golla, C. Tönnes, T. Russ, D. Bauer, M. Froelich, S. Diehl, S. Schoenberg, M. Keese, L. Schad, F. Zöllner and J. Rink.
Automated Screening for Abdominal Aortic Aneurysm in CT scans under clinical conditions using Deep Learning.
Diagnostics, , p.in Press (2021).

C. Tönnes, S. Janssen, A. Schnurr, T. Uhrig, K. Chung, L. Schad and F. Zöllner.
Deterministic Arterial Input Function selection in DCE-MRI for automation of quantitativeperfusion calculation of colorectal cancer.
Magn. Reson. Imaging, 75, pp.116-123 (2021).

Patents

Conference Papers

C. Tönnes, C. Licht, L. Schad and F. Zöllner.
SimMRI – A webbased MR Image Simulator for easy accessible MRI teaching.
Proc. Intl. Soc. Mag. Reson. Med , , 2023

T. Russ, Y. Ma, A. Golla, D. Bauer, T. Reynolds, C. Tönnes, S. Hatamikia, L. Schad, F. Zöllner, G. Gang, W. Wang and J. Stayman.
Fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits.
In: Zhao, Wei, Yu, Lifeng,
Proc. SPIE, Medical Imaging 2022: Physics of Medical Imaging, 2022 12031, p.120311I

D. Bauer, C. Ulrich, A. Golla, T. Russ, C. Tönnes, J. Leuschner, M. Schmidt, L. Schad and F. Zöllner.
Image reconstruction using end-to-end deep learning for low-dose CT.
Proc. Computer Assisted Radiology and Surgery , , (2021) .

T. Russ, W. Wang, A. Golla, D. Bauer, M. Tivnan, C. Tönnes, Y. Ma, T. Reynolds, S. Hatamikia, L. Schad, F. Zöllner, G. Gang and J. Stayman.
Fast Reconstruction of non-circular CBCT orbits using CNNs.
Proc. Fully3D Congress , , (2021) .

C. Tönnes, S. Janssen, A. Schnurr, T. Uhrig, K. Chung, L. Schad and F. Zöllner.
Filter-pipeline based algorithm to find the AIF in DCE-MRI images for perfusion calculation of rectal cancer.
Proc. Intl. Soc. Mag. Reson. Med. , Virutal Meeting , (2020) 28, p.3381 .

C. Tönnes, S. Janssen, A. Schnurr, F. Zöllner and L. Schad..
Exploration of deep learning approaches for the segmentation of colorectal cancer in DCE-MRI image.
Proc. ESMRMB , Virutal Meeting , (2020) 33, p.173 .

C. Tönnes, S. Janssen, A. Schnurr and F. Zöllner.
Exploration of deep learning approaches for the segmentation of colorectal cancer in DCE-MRI images.
Proc. ESMRMB Congress , Virutal Meeting , (2020), pp.173-174 .

C. Tönnes, S. Janssen, A. Schnurr, U. Tanja, K. Chung, L. Schad and F. Zöllner.
The impact of variations in annotation on the AIF and perfusion parameter..
4th Conference on Image-Guided Interventions , , (2019) .

Other Publications