D. Štern

发表

Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images

Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec, 2011, Physics in medicine and biology.

Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine

F. Pernus, D. Štern, B. Likar, 2010, Physics in medicine and biology.

Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

Determination of the intervertebral disc space from CT images of the lumbar spine

Bostjan Likar, Franjo Pernus, Tomaz Vrtovec, 2014, Medical Imaging.

Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net

Horst Bischof, Christian Payer, Martin Urschler, 2020, VISIGRAPP.

Fusion of automatically estimated skeletal and dental age from a large reference database

Martin Urschler, Darko Stern, Sabine Grassegger, 2014 .

Automatic Detection of Periapical Osteolytic Lesions on CBCT Using Deep CNNs.

H. Bischof, D. Štern, N. Jakse, 2022, Journal of endodontics.

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

D. Štern, Song Gu, Xiaoping Yang, 2022, Medical Image Anal..

Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks

H. Bischof, D. Štern, N. Jakse, 2022 .

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Christian Payer, Martin Urschler, Gernot Plank, 2021, Medical Image Anal..

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs

Bjoern H Menze, M. Urschler, D. Štern, 2022, Tomography.

Vertebrae Segmentation in 3D CT Images Based on a Variational Framework

Martin Urschler, Thomas Pock, Darko Štern, 2015 .

Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation

Thomas Neff, Christian Payer, Martin Urschler, 2017 .

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Hao Chen, Chengwen Chu, Pheng-Ann Heng, 2017, Medical Image Anal..

Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks

Thomas Neff, Christian Payer, Martin Urschler, 2018, MICCAI.

Minimum cement volume for vertebroplasty

M. Brojan, F. Kosel, D. Štern, 2015, International Orthopaedics.

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Guang Yang, Guoyan Zheng, Jean-Yves Ramel, 2019, Medical Image Anal..

Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements pdf

Horst Bischof, Christian Payer, Darko Stern, 2021, ArXiv.

Collaborative Multi-agent Reinforcement Learning for Landmark Localization Using Continuous Action Space

Christian Payer, Darko Stern, Franz Thaler, 2021, IPMI.

Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data

Christian Payer, Martin Urschler, Darko Štern, 2019, IEEE Journal of Biomedical and Health Informatics.

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study

Bernhard Schölkopf, Sergios Gatidis, Darko Stern, 2021, Comput. Medical Imaging Graph..

Towards Automatic Bone Age Estimation from MRI: Localization of 3D Anatomical Landmarks

Horst Bischof, Martin Urschler, Rene Donner, 2014, MICCAI.

Automated age estimation from MRI volumes of the hand

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

Quantitative vertebral morphometry in 3D

Bostjan Likar, Franjo Pernus, Tomaz Vrtovec, 2013, Medical Imaging.

Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D

B. Likar, F. Pernus, D. Štern, 2013, Osteoporosis International.

Regressing Heatmaps for Multiple Landmark Localization Using CNNs

Horst Bischof, Christian Payer, Martin Urschler, 2016, MICCAI.

What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents

Martin Urschler, Darko Štern, Sabine Grassegger, 2015, Annals of human biology.

Fully Automatic Bone Age Estimation from Left Hand MR Images

Horst Bischof, Martin Urschler, Darko Stern, 2014, MICCAI.

Sparse-View CT Reconstruction Using Wasserstein GANs

Christian Payer, Martin Urschler, Kerstin Hammernik, 2018, MLMIR@MICCAI.

Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

Martin Urschler, Darko Stern, Thomas Ebner, 2018, Medical Image Anal..

Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization pdf

Christian Payer, Martin Urschler, Darko Stern, 2021, Machine Learning for Biomedical Imaging.

Segmentation of vertebral bodies in CT and MR images based on 3D deterministic models

Bostjan Likar, Franjo Pernus, Tomaz Vrtovec, 2011, Medical Imaging.

Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

From individual hand bone age estimates to fully automated age estimation via learning-based information fusion

Martin Urschler, Darko Stern, M. Urschler, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Segmentation of Vertebral Bodies in MR Images Based on Geometrical Models in 3D

Bostjan Likar, Franjo Pernus, Tomaz Vrtovec, 2010, MIAR.

Automated Age Estimation from Hand MRI Volumes Using Deep Learning

Vincent Lepetit, Christian Payer, Martin Urschler, 2016, MICCAI.

Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Martin Urschler, Kerstin Hammernik, Darko Stern, 2015, CSI@MICCAI.