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Martin Urschler
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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
5062017
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
4732011
Saliency driven total variation segmentation
M Donoser, M Urschler, M Hirzer, H Bischof
2009 IEEE 12th International Conference on Computer Vision, 817-824, 2009
2922009
Regressing Heatmaps for Multiple Landmark Localization using CNNs
C Payer, D Štern, H Bischof, M Urschler
261*
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
1832019
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
1692019
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
1502014
Multi-label whole heart segmentation using CNNs and anatomical label configurations
C Payer, D Štern, H Bischof, M Urschler
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018
1482018
A Duality Based Algorithm for TV-L 1-Optical-Flow Image Registration
T Pock, M Urschler, C Zach, R Beichel, H Bischof
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: 10th …, 2007
1372007
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
1222015
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
1122016
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
1092017
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
1052014
Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks
C Payer, D Štern, T Neff, H Bischof, M Urschler
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
742018
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
692017
Towards automatic bone age estimation from MRI: localization of 3D anatomical landmarks
T Ebner, D Stern, R Donner, H Bischof, M Urschler
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
642014
Semantic segmentation of colon glands with deep convolutional neural networks and total variation segmentation
P Kainz, M Pfeiffer, M Urschler
arXiv preprint arXiv:1511.06919, 2015
622015
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
602021
SIFT and shape context for feature-based nonlinear registration of thoracic CT images
M Urschler, J Bauer, H Ditt, H Bischof
Computer Vision Approaches to Medical Image Analysis: Second International …, 2006
582006
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
572018
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