| 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 | 177 | 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 | 173 | 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 | 155 | 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 | 112 | 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 | 65 | 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 | 64 | 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 | 57 | 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 | 56 | 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 | 51 | 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 | 33 | 2021 |
| Verse: a vertebrae labelling and segmentation benchmark A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ... | 31 | 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 30 | 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 | 18 | 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 | 17 | 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 | 17 | 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 | 14 | 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 | 11 | 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, ... | 9 | 2019 |
| 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 | 7 | 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 | 7 | 2017 |
Bjoern H MenzeUniversität ZürichVerified email at uzh.ch
