Giles Tetteh
Giles Tetteh
Doctoral Candidate, Technische Universität München (TUM)
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Knowledge-aided convolutional neural network for small organ segmentation
Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze
IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019
962019
Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes
G Tetteh, V Efremov, ND Forkert, M Schneider, J Kirschke, B Weber, ...
Frontiers in Neuroscience 14, 1285, 2020
782020
Machine learning analysis of whole mouse brain vasculature
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov, ...
Nature methods 17 (4), 442-449, 2020
712020
Automated whole-body bone lesion detection for multiple myeloma on 68Ga-pentixafor PET/CT imaging using deep learning methods
L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ...
Contrast media & molecular imaging 2018, 2018
602018
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
372018
qPSMA: semiautomatic software for whole-body tumor burden assessment in prostate cancer using 68Ga-PSMA11 PET/CT
A Gafita, M Bieth, M Krönke, G Tetteh, F Navarro, H Wang, E Günther, ...
Journal of Nuclear Medicine 60 (9), 1277-1283, 2019
332019
Deep neural network for automatic characterization of lesions on 68 Ga-PSMA-11 PET/CT
Y Zhao, A Gafita, B Vollnberg, G Tetteh, F Haupt, A Afshar-Oromieh, ...
European journal of nuclear medicine and molecular imaging 47 (3), 603-613, 2020
282020
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv. org e-Print archive, 2020
202020
clDice-a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit, JC Paetzold, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
162021
DeepASL: Kinetic model incorporated loss for denoising arterial spin labeled MRI via deep residual learning
C Ulas, G Tetteh, S Kaczmarz, C Preibisch, BH Menze
International conference on medical image computing and computer-assisted …, 2018
152018
Deep-FExt: Deep feature extraction for vessel segmentation and centerline prediction
G Tetteh, M Rempfler, C Zimmer, BH Menze
International Workshop on Machine Learning in Medical Imaging, 344-352, 2017
152017
BraTS Toolkit: translating BraTS brain tumor segmentation algorithms into clinical and scientific practice
F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ...
Frontiers in neuroscience 14, 125, 2020
92020
Direct estimation of pharmacokinetic parameters from DCE-MRI using deep CNN with forward physical model loss
C Ulas, G Tetteh, MJ Thrippleton, PA Armitage, SD Makin, JM Wardlaw, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
92018
Automated analysis of whole brain vasculature using machine learning
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, V Efremov, K Völgyi, ...
bioRxiv, 613257, 2019
82019
Multi-modal image classification using low-dimensional texture features for genomic brain tumor recognition
E Alberts, G Tetteh, S Trebeschi, M Bieth, A Valentinitsch, B Wiestler, ...
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging …, 2017
82017
DeepVesselNet: vessel segmentation, centerline prediction, and bifurcation detection in 3-D angiographic volumes. arXiv 2018
G Tetteh, V Efremov, ND Forkert, M Schneider, J Kirschke, B Weber, ...
arXiv preprint arXiv:1803.09340, 0
8
Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3d
JC Paetzold, O Schoppe, R Al-Maskari, G Tetteh, V Efremov, MI Todorov, ...
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
72019
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
S Gerl, JC Paetzold, H He, I Ezhov, S Shit, F Kofler, A Bayat, G Tetteh, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
62020
Automated analysis of whole brain vasculature using machine learning. bioRxiv
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, V Efremov, K Völgyi, ...
Cold Spring Harbor Laboratory, 2019
52019
W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
52017
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