Johannes Ulén
Johannes Ulén
Eigenvision AB
Verified email at maths.lth.se - Homepage
Title
Cited by
Cited by
Year
Hep-2 staining pattern classification
P Strandmark, J Ulén, F Kahl
International Conference on Pattern Recognition (ICPR), 33-36, 2012
762012
In Defense of 3D-Label Stereo
C Olsson, J Ulén, Y Boykov
Conference on Computer Vision and Pattern Recognition (CVPR), 2013
512013
Shortest Paths with Higher-Order Regularization
J Ulén, P Strandmark, F Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
412015
An Efficient Optimization Framework for Multi-Region Segmentation based on Lagrangian Duality
J Ulén, P Strandmark, F Kahl
IEEE Transactions on Medical Imaging, 2013
382013
Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases
SL Belal, M Sadik, R Kaboteh, O Enqvist, J Ulén, MH Poulsen, ...
European journal of radiology 113, 89-95, 2019
322019
Shortest Paths with Curvature and Torsion
P Strandmark, J Ulén, F Kahl, L Grady
International Conference on Computer Vision (ICCV), 2013
252013
Good Features for Reliable Registration in Multi-Atlas Segmentation.
F Kahl, J Alvén, O Enqvist, F Fejne, J Ulén, J Fredriksson, M Landgren, ...
VISCERAL Challenge@ ISBI, 12-17, 2015
182015
Partial Enumeration and Curvature Regularization
C Olsson, J Ulén, Y Boykov, V Kolmogorov
International Conference on Computer Vision (ICCV), 2013
112013
Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival
E Polymeri, M Sadik, R Kaboteh, P Borrelli, O Enqvist, J Ulén, M Ohlsson, ...
Clinical physiology and functional imaging 40 (2), 106-113, 2020
92020
Optimization for multi-region segmentation of cardiac MRI
J Ulén, P Strandmark, F Kahl
Statistical Atlases and Computational Models of the Heart: Imaging and …, 2012
72012
Artificial intelligence‐based versus manual assessment of prostate cancer in the prostate gland: a method comparison study
MA Mortensen, P Borrelli, MH Poulsen, O Gerke, O Enqvist, J Ulén, ...
Clinical physiology and functional imaging 39 (6), 399-406, 2019
52019
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG‐PET/CT in Hodgkin and non‐Hodgkin …
M Sadik, E Lind, E Polymeri, O Enqvist, J Ulén, E Trägårdh
Clinical physiology and functional imaging 39 (1), 78-84, 2019
52019
Variability in reference levels for Deauville classifications applied to lymphoma patients examined with 18F-FDG-PET/CT
M Sadik, E Lind, O Enqvist, J Ulén, E Polymeri, E Trägårdh, L Edenbrandt
EANM'17, 2017
42017
Automated quantification of reference levels in liver and mediastinum (blood pool) for the Deauville therapy response classification using FDG-PET/CT in lymphoma patients
M Sadik, E Lind, O Enqvist, J Ulén, E Polymeri, E Trägårdh, L Edenbrandt
EANM'17, 2017
42017
Analytical validation of an automated method for segmentation of the prostate gland in CT images
E Polymeri, M Sadik, R Kaboteh, O Enqvist, J Ulén, E Trägårdh, ...
EANM'17, 2017
42017
Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility
M Sadik, R Kaboteh, O Enqvist, J Ulén, E Trägårdh, MH Poulsen, ...
Annual Congress of the European Association of Nuclear Medicine 44 (Suppl. 2), 2017
42017
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
E Trägårdh, P Borrelli, R Kaboteh, T Gillberg, J Ulén, O Enqvist, ...
EJNMMI physics 7 (1), 1-12, 2020
32020
Higher-Order Regularization in Computer Vision
J Ulén
PhD thesis, Lund University 2014 (7), 2014
32014
Exploratory study of EEG burst characteristics in preterm infants
Z Simayijiang, S Backman, J Ulén, S Wikström, K Åström
Engineering in Medicine and Biology Society (EMBS), 4295-4298, 2013
32013
Shape-aware label fusion for multi-atlas frameworks
J Alvén, F Kahl, M Landgren, V Larsson, J Ulén, O Enqvist
Pattern Recognition Letters 124, 109-117, 2019
22019
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Articles 1–20