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Darko Štern
Darko Štern
Technical Scout for Cognitive ITS Technologies, AVL List
Verified email at avl.com - Homepage
Title
Cited by
Cited by
Year
Regressing heatmaps for multiple landmark localization using CNNs
C Payer, D Štern, H Bischof, M Urschler
International conference on medical image computing and computer-assisted …, 2016
2292016
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
1422019
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
1322019
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
1252017
Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images
D Štern, B Likar, F Pernuš, T Vrtovec
Physics in Medicine & Biology 56 (23), 7505, 2011
1062011
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
662017
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
632014
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
612018
Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine
D Štern, B Likar, F Pernuš, T Vrtovec
Physics in Medicine & Biology 55 (1), 247, 2009
602009
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
472018
Automated age estimation from MRI volumes of the hand
D Štern, C Payer, M Urschler
Medical image analysis 58, 101538, 2019
452019
Minimum cement volume for vertebroplasty
D Martinčič, M Brojan, F Kosel, D Štern, T Vrtovec, V Antolič, R Vengust
International orthopaedics 39 (4), 727-733, 2015
422015
Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks
C Payer, D Štern, M Feiner, H Bischof, M Urschler
Medical image analysis 57, 106-119, 2019
402019
Generative adversarial network based synthesis for supervised medical image segmentation
T Neff, C Payer, D Stern, M Urschler
Proc. OAGM and ARW joint Workshop 3, 4, 2017
402017
Automated age estimation from hand MRI volumes using deep learning
D Štern, C Payer, V Lepetit, M Urschler
International conference on medical image computing and computer-assisted …, 2016
402016
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
372021
What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents
M Urschler, S Grassegger, D Štern
Annals of human biology 42 (4), 358-367, 2015
362015
Automatic age estimation and majority age classification from multi-factorial MRI data
D Štern, C Payer, N Giuliani, M Urschler
IEEE Journal of Biomedical and Health Informatics 23 (4), 1392-1403, 2018
352018
From local to global random regression forests: exploring anatomical landmark localization
D Štern, T Ebner, M Urschler
International Conference on Medical Image Computing and Computer-Assisted …, 2016
352016
Fully automatic bone age estimation from left hand MR images
D Stern, T Ebner, H Bischof, S Grassegger, T Ehammer, M Urschler
International Conference on Medical Image Computing and Computer-Assisted …, 2014
352014
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