Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. - Esther Alberts; Giles Tetteh; Stefano Trebeschi; Marie Bieth; Alexander Valentinitsch; Benedikt Wiestler; Claus Zimmer; Bjoern H. Menze (GRAIL/MFCA/MICGen@MICCAI, 2017)

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. - Giles Tetteh; Markus Rempfler; Claus Zimmer; Bjoern H. Menze (MLMI@MICCAI, 2017)

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. - Lina Xu; Giles Tetteh; Mona Mustafa; Jana Lipková; Yu Zhao 009; Marie Bieth; Patrick Ferdinand Christ; Marie Piraud; Bjoern H. Menze; Kuangyu Shi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. - Yu Zhao 009; Hongwei Li 004; Rong Zhou; Giles Tetteh; Marc Niethammer; Bjoern H. Menze (ICPR, 2018)

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. - Anjany Sekuboyina; Markus Rempfler; Jan Kukacka; Giles Tetteh; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (MICCAI (4), 2018)

DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. - Cagdas Ulas; Giles Tetteh; Stephan Kaczmarz; Christine Preibisch; Bjoern H. Menze (MICCAI (1), 2018)

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. - Cagdas Ulas; Giles Tetteh; Michael J. Thrippleton; Paul A. Armitage; Stephen D. Makin; Joanna M. Wardlaw; Mike E. Davies 001; Bjoern H. Menze (MICCAI (1), 2018)

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. - Giles Tetteh; Velizar Efremov; Nils D. Forkert; Matthias Schneider 002; Jan Kirschke; Bruno Weber; Claus Zimmer; Marie Piraud; Bjoern H. Menze (CoRR, 2018)

Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. - Yu Zhao 009; Andrei Gafita; Giles Tetteh; Fabian Haupt; Ali Afshar-Oromieh; Bjoern H. Menze; Matthias Eiber; Axel Rominger; Kuangyu Shi (EMBC, 2019)

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. - Yu Zhao 009; Hongwei Li 004; Shaohua Wan 001; Anjany Sekuboyina; Xiaobin Hu; Giles Tetteh; Marie Piraud; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2019)

A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. - Stefan Gerl; Johannes C. Paetzold; Hailong He; Ivan Ezhov; Suprosanna Shit; Florian Kofler; Amirhossein Bayat; Giles Tetteh; Vasilis Ntziachristos; Bjoern H. Menze (MICCAI (6), 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Andrey Zhylka; Ivan Ezhov; Alexander Unger; Josien P. W. Pluim; Giles Tetteh; Bjoern H. Menze (CoRR, 2020)

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. - 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; et al. (CoRR, 2021)

A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. - Giles Tetteh; Fernando Navarro; Johannes C. Paetzold; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (CoRR, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)