Kamu erişimi zorunlu olan makaleler - Johannes UlénDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
Deep learning takes the pain out of back breaking work-Automatic vertebral segmentation and attenuation measurement for osteoporosis
D Schmidt, J Ulén, O Enqvist, E Persson, E Trägårdh, P Leander, ...
Clinical imaging 81, 54-59, 2022
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Bir yerde sunuluyor: 16
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
Zorunlu olanlar: Knut and Alice Wallenberg Foundation, Swedish Research Council
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, 1-12, 2020
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
In Defense of 3D-Label Stereo
C Olsson, J Ulén, Y Boykov
Conference on Computer Vision and Pattern Recognition (CVPR), 2013
Zorunlu olanlar: Swedish Research Council
Shortest Paths with Higher-Order Regularization
J Ulén, P Strandmark, F Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
Zorunlu olanlar: Swedish Research Council, European Commission
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
P Borrelli, J Ly, R Kaboteh, J Ulén, O Enqvist, E Trägårdh, L Edenbrandt
EJNMMI physics 8, 1-11, 2021
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Shortest Paths with Curvature and Torsion
P Strandmark, J Ulén, F Kahl, L Grady
International Conference on Computer Vision (ICCV), 2013
Zorunlu olanlar: Swedish Research Council
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
H Sartor, D Minarik, O Enqvist, J Ulén, A Wittrup, M Bjurberg, E Trägårdh
Clinical and Translational Radiation Oncology 25, 37-45, 2020
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
E Trägårdh, O Enqvist, J Ulén, E Hvittfeldt, S Garpered, SL Belal, A Bjartell, ...
European Journal of Nuclear Medicine and Molecular Imaging 49 (10), 3412-3418, 2022
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
E Trägårdh, O Enqvist, J Ulén, J Jögi, U Bitzén, F Hedeer, K Valind, ...
Diagnostics 12 (9), 2101, 2022
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Partial Enumeration and Curvature Regularization
C Olsson, J Ulén, Y Boykov, V Kolmogorov
International Conference on Computer Vision (ICCV), 2013
Zorunlu olanlar: Swedish Research Council
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
P Borrelli, JLL Góngora, R Kaboteh, J Ulén, O Enqvist, E Trägårdh, ...
EJNMMI physics 9 (1), 6, 2022
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Automated analysis of PSMA-PET/CT studies using convolutional neural networks
L Edenbrandt, P Borrelli, J Ulén, O Enqvist, E Trägårdh
medRxiv, 2021.03. 03.21252818, 2021
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
Local Refinement for Stereo Regularization
C Olsson, J Ulén, A Eriksson
International Conference on Pattern Recognition (ICPR), 2014
Zorunlu olanlar: Australian Research Council, Swedish Research Council
Simultaneous Fusion Moves for 3D-Label Stereo
J Ulén, C Olsson
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013
Zorunlu olanlar: Swedish Research Council
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images
E Trägårdh, J Ulén, O Enqvist, L Edenbrandt, M Larsson
Clinical Physiology and Functional Imaging 44 (4), 332-339, 2024
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
AI-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
P Borrelli, JLL Gongora, R Kaboteh, J Ulen, O Enqvist, E Trägårdh, ...
Zorunlu olanlar: Knut and Alice Wallenberg Foundation
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