Martin Urschler
Cited by
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Gland segmentation in colon histology images: The glas challenge contest
K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ...
Medical image analysis 35, 489-502, 2017
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
Regressing Heatmaps for Multiple Landmark Localization using CNNs
C Payer, D Štern, H Bischof, M Urschler
Saliency driven total variation segmentation
M Donoser, M Urschler, M Hirzer, H Bischof
2009 IEEE 12th International Conference on Computer Vision, 817-824, 2009
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
C Payer, D Štern, H Bischof, M Urschler
Medical image analysis 54, 207-219, 2019
Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge
X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ...
Medical image analysis 58, 101537, 2019
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
Multi-label whole heart segmentation using CNNs and anatomical label configurations
C Payer, D Štern, H Bischof, M Urschler
International Workshop on Statistical Atlases and Computational Models of …, 2017
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ...
Medical image analysis 18 (7), 1217-1232, 2014
A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration
T Pock, M Urschler, C Zach, R Beichel, H Bischof
International Conference on Medical Image Computing and Computer-Assisted …, 2007
You should use regression to detect cells
P Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
A multi-center milestone study of clinical vertebral CT segmentation
J Yao, JE Burns, D Forsberg, A Seitel, A Rasoulian, P Abolmaesumi, ...
Computerized Medical Imaging and Graphics 49, 16-28, 2016
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization
P Kainz, M Pfeiffer, M Urschler
PeerJ 5, e3874, 2017
Quantification of tortuosity and fractal dimension of the lung vessels in pulmonary hypertension patients
M Helmberger, M Pienn, M Urschler, P Kullnig, R Stollberger, G Kovacs, ...
PloS one 9 (1), e87515, 2014
A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
K Gillette, MAF Gsell, AJ Prassl, E Karabelas, U Reiter, G Reiter, ...
Medical Image Analysis 71, 102080, 2021
Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks
C Payer, D Štern, T Neff, H Bischof, M Urschler
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net.
C Payer, D Stern, H Bischof, M Urschler
VISIGRAPP (5: VISAPP), 124-133, 2020
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
G Zheng, C Chu, DL Belavý, B Ibragimov, R Korez, T Vrtovec, H Hutt, ...
Medical image analysis 35, 327-344, 2017
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization
M Urschler, T Ebner, D Štern
Medical image analysis 43, 23-36, 2018
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015
B Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit
Springer International Publishing, 2015
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