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Giles Tetteh
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2020 – today
- 2021
- [j2]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li
, Giles Tetteh, Jan Kukacka
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [i10]Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T. Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, Eva Niederreiter, Thomas Baum, Benedikt Wiestler, Bjoern H. Menze, Rickmer Braren, Claus Zimmer, Jan S. Kirschke:
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. CoRR abs/2103.06360 (2021) - [i9]Giles Tetteh, Fernando Navarro, Johannes C. Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze:
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. CoRR abs/2110.12508 (2021) - 2020
- [c9]Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. MICCAI (6) 2020: 309-319 - [i8]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i7]Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze:
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. CoRR abs/2003.07311 (2020) - [i6]Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze:
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images. CoRR abs/2007.05324 (2020)
2010 – 2019
- 2019
- [j1]Yu Zhao
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1363-1373 (2019) - [c8]Yu Zhao
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. EMBC 2019: 951-954 - 2018
- [c7]Yu Zhao
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. ICPR 2018: 3880-3885 - [c6]Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. MICCAI (1) 2018: 30-38 - [c5]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) 2018: 39-47 - [c4]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. MICCAI (4) 2018: 649-657 - [i5]Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Bjoern H. Menze:
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. CoRR abs/1803.09340 (2018) - [i4]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior. CoRR abs/1804.01307 (2018) - [i3]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR abs/1804.02745 (2018) - [i2]Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze:
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. CoRR abs/1804.02755 (2018) - 2017
- [c3]Lina Xu
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. CMMI/RAMBO/SWITCH@MICCAI 2017: 23-30 - [c2]Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler
Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. GRAIL/MFCA/MICGen@MICCAI 2017: 201-209 - [c1]Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. MLMI@MICCAI 2017: 344-352 - [i1]Giles Tetteh, Markus Rempfler, Bjoern H. Menze, Claus Zimmer:
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. CoRR abs/1704.03743 (2017)
Coauthor Index
aka: Björn H. Menze
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