Giles Tetteh
Giles Tetteh
Doctoral Candidate, Technische Universität München (TUM)
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Zitiert von
Zitiert von
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
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, 2020
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
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
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
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
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv preprint arXiv:2001.09193, 2020
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
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
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
clDice--a Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit, JC Paetzold, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...
arXiv preprint arXiv:2003.07311, 2020
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
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, 2020
Automated analysis of whole brain vasculature using machine learning
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, V Efremov, K Völgyi, ...
bioRxiv, 613257, 2019
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
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
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
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
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
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
MT Löffler, A Jacob, A Scharr, N Sollmann, E Burian, M El Husseini, ...
European Radiology, 1-9, 2021
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