Martin Urschler
Martin Urschler
School of Computer Science, University of Auckland, New Zealand
Verified email at - Homepage
Cited by
Cited by
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
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
Saliency driven total variation segmentation
M Donoser, M Urschler, M Hirzer, H Bischof
2009 IEEE 12th International Conference on Computer Vision, 817-824, 2009
Regressing Heatmaps for Multiple Landmark Localization using CNNs
C Payer, D Štern, H Bischof, M Urschler
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
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
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
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
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
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
You should use regression to detect cells
P Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit
International Conference on Medical Image Computing and Computer-Assisted …, 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
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
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
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
Towards automatic bone age estimation from MRI: localization of 3D anatomical landmarks
T Ebner, D Stern, R Donner, H Bischof, M Urschler
International Conference on Medical Image Computing and Computer-Assisted …, 2014
SIFT and shape context for feature-based nonlinear registration of thoracic CT images
M Urschler, J Bauer, H Ditt, H Bischof
International Workshop on Computer Vision Approaches to Medical Image …, 2006
Dental age estimation of living persons: Comparison of MRI with OPG
P Baumann, T Widek, H Merkens, J Boldt, A Petrovic, M Urschler, ...
Forensic science international 253, 76-80, 2015
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
Automated age estimation from MRI volumes of the hand
D Štern, C Payer, M Urschler
Medical image analysis 58, 101538, 2019
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