Johannes Ulén
Johannes Ulén
Eigenvision AB
Verifierad e-postadress på maths.lth.se - Startsida
TitelCiteras avÅr
Hep-2 staining pattern classification
P Strandmark, J Ulén, F Kahl
International Conference on Pattern Recognition (ICPR), 33-36, 2012
672012
In Defense of 3D-Label Stereo
C Olsson, J Ulén, Y Boykov
Conference on Computer Vision and Pattern Recognition (CVPR), 2013
392013
Shortest Paths with Higher-Order Regularization
J Ulén, P Strandmark, F Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
302015
An Efficient Optimization Framework for Multi-Region Segmentation based on Lagrangian Duality
J Ulén, P Strandmark, F Kahl
IEEE Transactions on Medical Imaging, 2013
302013
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
172015
Shortest Paths with Curvature and Torsion
P Strandmark, J Ulén, F Kahl, L Grady
International Conference on Computer Vision (ICCV), 2013
172013
Partial Enumeration and Curvature Regularization
C Olsson, J Ulén, Y Boykov, V Kolmogorov
International Conference on Computer Vision (ICCV), 2013
9*2013
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
Shape-aware multi-atlas segmentation
J Alvén, F Kahl, M Landgren, V Larsson, J Ulén
2016 23rd International Conference on Pattern Recognition (Icpr), 1101-1106, 2016
22016
Higher-Order Regularization in Computer Vision
J Ulén
PhD thesis, Lund University 2014 (7), 2014
22014
Local Refinement for Stereo Regularization
C Olsson, J Ulén, A Eriksson
International Conference on Pattern Recognition (ICPR), 2014
22014
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
22013
Simultaneous Fusion Moves for 3D-Label Stereo
J Ulén, C Olsson
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013
22013
Shape-aware label fusion for multi-atlas frameworks
J Alvén, F Kahl, M Landgren, V Larsson, J Ulén, O Enqvist
Pattern Recognition Letters, 2018
12018
Multiatlas Segmentation Using Robust Feature-Based Registration
F Fejne, M Landgren, J Alvén, J Ulén, J Fredriksson, V Larsson, O Enqvist, ...
Cloud-Based Benchmarking of Medical Image Analysis, 203-218, 2017
12017
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, 2019
2019
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
2019
Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT
P Borrelli, M Mortensen, O Enqvist, J Ulen, M Poulsen, E Tragardh, ...
Journal of Nuclear Medicine 59 (supplement 1), 1493-1493, 2018
2018
Artificial intelligence based method for automated PET/CT measurements of prostate gland volume and choline uptake
P Borelli, M Mortensen, O Enqvist, J Ulén, MH Poulsen, E Tragardh, ...
European Journal of Nuclear Medicine and Molecular Imaging 45 (1), 2018
2018
Automated evaluation of normal uptake in different skeletal parts in F-18-sodium fluroide (NaF) PET/CT using a new convolutional neural network method
SL Belal, M Sadik, R Kaboteh, O Enqvist, J Ulen, H Kjolhede, O Bratt, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 44, S479-S479, 2017
2017
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Artiklar 1–20