| 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 | 319 | 2016 |
| 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 | 305 | 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 | 279 | 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 | 228 | 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 | 194 | 2017 |
| 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 | 130 | 2021 |
| 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 | 127 | 2011 |
| Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ... Medical Image Analysis 82, 102616, 2022 | 123 | 2022 |
| 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 | 92 | 2020 |
| 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 | 90 | 2018 |
| 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 | 81 | 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 | 79 | 2018 |
| 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 | 77 | 2019 |
| 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 | 74 | 2018 |
| 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 | 74 | 2014 |
| Automated age estimation from MRI volumes of the hand D Štern, C Payer, M Urschler Medical image analysis 58, 101538, 2019 | 71 | 2019 |
| 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 | 67 | 2009 |
| Minimum cement volume for vertebroplasty D Martinčič, M Brojan, F Kosel, D Štern, T Vrtovec, V Antolič, R Vengust International orthopaedics 39, 727-733, 2015 | 66 | 2015 |
| 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 | 57 | 2017 |
| From local to global random regression forests: exploring anatomical landmark localization D Štern, T Ebner, M Urschler Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 56 | 2016 |
Martin UrschlerMedical University GrazBestätigte E-Mail-Adresse bei medunigraz.at
