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Giles Tetteh
Giles Tetteh
Doctoral Candidate, Technische Universität München (TUM)
Verified email at tum.de - Homepage
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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
1342019
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
1162020
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, 1285, 2020
1142020
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
812018
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
472018
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
442019
Deep neural network for automatic characterization of lesions on 68Ga-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
402020
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
332021
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
282020
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, 125, 2020
282020
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
232018
clDice-a Topology-Preserving Loss Function for Tubular Structure Segmentation.
S Shit, JC Paetzold, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...
222020
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
172017
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
152018
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 31 (8), 6069-6077, 2021
132021
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
122017
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
92020
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
Automated analysis of whole brain vasculature using machine learning. bioRxiv
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, V Efremov, K Voelgyi, ...
52019
clDice—A novel connectivity-preserving loss function for vessel segmentation
JC Paetzold, S Shit, I Ezhov, G Tetteh, A Ertürk, HZ Munich, B Menze
Medical Imaging Meets NeurIPS 2019 Workshop, 2019
52019
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