GilesTetteh

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Giles Tetteh

Scientific staff and doctoral candidate at the Image-Based Biomedical Modeling Group.

Contact

  • TU München
    IMETUM
    Boltzmannstr. 11
    D-85748 Garching
    Germany

  • Office: IMETUM 1.101
  • Email:
  • Phone: +49 152 362 69110

Research Interests

  • Regression and classification in machine learning.
  • Applications: Vessel segmentation and analysis.


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Publications

2020
O. Gerl, J. Paetzold, , I. Ezhov, S. Shit, F. Kofler, , G. Tetteh, V. Ntziachristos, B. Menze
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images.
International Conference on Medical Image Computing and Computer Assisted Intervention 2020 (MICCAI) (bib)
J. Paetzold, M.I.Todorov, O. Schoppe, G. Tetteh, S. Shit, B. Menze, A. Ertuerk
Machine learning analysis of whole mouse brain vasculature.
Nature Methods volume 17, pages442-449 (2020) (bib)
2019
J. Paetzold, S. Shit, I. Ezhov, G. Tetteh, A. Ertuerk, B. Menze
clDice-a Novel Connectivity-Preserving Loss Function for Vessel Segmentation
Medical Imaging Meets NeurIPS? 2019 (Workshop), Vancouver, Canada, December 2019. (bib)
F. Navarro, , M. Günther, , A. Gafita, M. Bieth, G. Tetteh, Jian Wang, S. Weber, M. Eiber
qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT
Proceedings of the Journal of Nuclear Medicine (bib)
2018
C. Ulas, G. Tetteh, M.J. Thrippleton, P.A. Armitage, S.D. Makin, J.M. Wardlaw, M.E. Davies, B. Menze
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss
Proceedings of the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018. (bib)
C. Ulas, G. Tetteh, S. Kaczmarz, C. Preibisch, B. Menze
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
Proceedings of the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018. (bib)
A. Sekuboyina, M. Rempfler, J. Kukacka, G. Tetteh, A. Valentinitsch, J. Kirschke, B. Menze
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Proceedings of the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018. (bib)



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