Giles Tetteh
Giles Tetteh
Doctoral Candidate, Technische Universität München (TUM)
Verified email at - Homepage
Cited by
Cited by
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
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, 1285, 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
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
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
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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, 603-613, 2020
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
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, 6069-6077, 2021
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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
Deep-FExt: Deep feature extraction for vessel segmentation and centerline prediction
G Tetteh, M Rempfler, C Zimmer, BH Menze
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data
H Liebl, D Schinz, A Sekuboyina, L Malagutti, MT Löffler, A Bayat, ...
Scientific Data 8 (1), 284, 2021
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
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, ...
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
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
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