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Örjan Smedby

Researcher at Royal Institute of Technology

Publications -  233
Citations -  6713

Örjan Smedby is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 37, co-authored 222 publications receiving 5401 citations. Previous affiliations of Örjan Smedby include Uppsala University Hospital & Linköping University.

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Journal ArticleDOI

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

Michiel Schaap, +30 more
- 01 Oct 2009 - 
TL;DR: A standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms and a database containing 32 cardiac CTA datasets with corresponding reference standard is described and made available.
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MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans

Adriënne M. Mendrik, +29 more
- 01 Jan 2015 - 
TL;DR: The MRBrainS evaluation framework provides an objective and direct comparison of all evaluated algorithms and can aid in selecting the best performing method for the segmentation goal at hand.
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A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar, +86 more
- 01 May 2020 - 
TL;DR: Several of the top techniques compared favorably to an individual human annotator and can be used with confidence for nuclear morphometrics as well as heavy data augmentation in the MoNuSeg 2018 challenge.
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Web-Based Interactive 3D Visualization as a Tool for Improved Anatomy Learning

Helge Petersson, +3 more
- 01 Mar 2009 - 
TL;DR: The results indicate that, in general, students' attitudes towards the EVA‐program were positive when compared with anatomy textbooks, but results were not the same with dissections.