| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2069 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1274 | 2023 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 460 | 2019 |
| Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms M Schaap, CT Metz, T van Walsum, AG van der Giessen, AC Weustink, ... Medical image analysis 13 (5), 701-714, 2009 | 431 | 2009 |
| Web‐based interactive 3D visualization as a tool for improved anatomy learning H Petersson, D Sinkvist, C Wang, Ö Smedby Anatomical sciences education 2 (2), 61-68, 2009 | 322 | 2009 |
| Skin lesion classification using hybrid deep neural networks A Mahbod, G Schaefer, C Wang, R Ecker, I Ellinge ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 309 | 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 | 299 | 2019 |
| MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015 (1), 813696, 2015 | 288 | 2015 |
| Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ... Scientific reports 8 (1), 13650, 2018 | 272 | 2018 |
| Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ... Medical image analysis 17 (8), 859-876, 2013 | 249 | 2013 |
| Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification A Mahbod, G Schaefer, C Wang, G Dorffner, R Ecker, I Ellinger Computer methods and programs in biomedicine 193, 105475, 2020 | 244 | 2020 |
| Fusing fine-tuned deep features for skin lesion classification A Mahbod, G Schaefer, I Ellinger, R Ecker, A Pitiot, C Wang Computerized Medical Imaging and Graphics 71, 19-29, 2019 | 244 | 2019 |
| Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ... IEEE transactions on medical imaging 35 (11), 2459-2475, 2016 | 205 | 2016 |
| Iodinated contrast opacification gradients in normal coronary arteries imaged with prospectively ECG-gated single heart beat 320-detector row computed tomography ML Steigner, D Mitsouras, AG Whitmore, HJ Otero, C Wang, O Buckley, ... Circulation: Cardiovascular Imaging 3 (2), 179-186, 2010 | 192 | 2010 |
| Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015 | 113 | 2015 |
| Automatic whole heart segmentation using deep learning and shape context C Wang, Ö Smedby Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 84 | 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 | 84 | 2017 |
| Changes in brain architecture are consistent with altered fear processing in domestic rabbits I Brusini, M Carneiro, C Wang, CJ Rubin, H Ring, S Afonso, ... Proceedings of the National Academy of Sciences 115 (28), 7380-7385, 2018 | 76 | 2018 |
| A computational atlas of normal coronary artery anatomy P Medrano-Gracia, J Ormiston, M Webster, S Beier, A Young, C Ellis, ... EuroIntervention 12 (7), 845-54, 2016 | 73 | 2016 |
| Vessel segmentation using implicit model-guided level sets C Wang, R Moreno, Ö Smedby MICCAI Workshop" 3D Cardiovascular Imaging: a MICCAI segmentation Challenge …, 2012 | 60 | 2012 |
Örjan SmedbyProfessor of Medical image processing and visualization, KTH Royal Institute of TechnologyVerified email at kth.se
