| 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 | 894 | 2017 |
| 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 | 526 | 2011 |
| 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 | 342 | 2019 |
| Regressing Heatmaps for Multiple Landmark Localization using CNNs C Payer, D Štern, H Bischof, M Urschler Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 …, 2016 | 329 | 2016 |
| Saliency driven total variation segmentation M Donoser, M Urschler, M Hirzer, H Bischof 2009 IEEE 12th International Conference on Computer Vision, 817-824, 2009 | 323 | 2009 |
| 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 | 307 | 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 | 286 | 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 | 208 | 2017 |
| 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 | 182 | 2014 |
| 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 | 170 | 2021 |
| 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 | 154 | 2007 |
| 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 | 150 | 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 | 148 | 2016 |
| 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 | 140 | 2017 |
| 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 | 118 | 2014 |
| 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 | 107 | 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 | 97 | 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 | 85 | 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 | 84 | 2018 |
| 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 | 83 | 2018 |
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
