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Johannes Ulén

Showing results (1-10 of 31) with videos related to

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IEEE Transactions on Medical Imaging|September 19, 2012
An efficient optimization framework for multi-region segmentation based on Lagrangian dualityJohannes Ulén, Petter Strandmark, Fredrik Kahl
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Exploratory study of EEG burst characteristics in preterm infantsZhayida Simayijiang, Sofia Backman, Johannes Ulén, et al.
Clinical Physiology and Functional Imaging|April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT imagesElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
EJNMMI Reports|June 15, 2025
AI based automatic measurement of split renal function in [<sup>18</sup>F]PSMA-1007 PET/CTKristian Valind, Johannes Ulén, Anni Gålne, et al.
EJNMMI Research|October 12, 2021
Convolutional neural network-based automatic heart segmentation and quantitation in <sup>123</sup>I-metaiodobenzylguanidine SPECT imagingShintaro Saito, Kenichi Nakajima, Lars Edenbrandt, et al.
Clinical Physiology and Functional Imaging|October 5, 2018
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 lymphomasMay Sadik, Erica Lind, Eirini Polymeri, et al.
Clinical Imaging|October 1, 2021
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosisDavid Schmidt, Johannes Ulén, Olof Enqvist, et al.
EJNMMI Physics|August 20, 2025
A fully automated AI-based method for tumour detection and quantification on [<sup>18</sup>F]PSMA-1007 PET-CT images in prostate cancerElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical and Translational Radiation Oncology|October 2, 2020
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truthHanna Sartor, David Minarik, Olof Enqvist, et al.
EJNMMI Physics|August 6, 2020
RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiologyElin Trägårdh, Pablo Borrelli, Reza Kaboteh, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Medical Imaging|September 19, 2012
An efficient optimization framework for multi-region segmentation based on Lagrangian dualityJohannes Ulén, Petter Strandmark, Fredrik Kahl
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Exploratory study of EEG burst characteristics in preterm infantsZhayida Simayijiang, Sofia Backman, Johannes Ulén, et al.
Clinical Physiology and Functional Imaging|April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT imagesElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
EJNMMI Reports|June 15, 2025
AI based automatic measurement of split renal function in [<sup>18</sup>F]PSMA-1007 PET/CTKristian Valind, Johannes Ulén, Anni Gålne, et al.
EJNMMI Research|October 12, 2021
Convolutional neural network-based automatic heart segmentation and quantitation in <sup>123</sup>I-metaiodobenzylguanidine SPECT imagingShintaro Saito, Kenichi Nakajima, Lars Edenbrandt, et al.
Clinical Physiology and Functional Imaging|October 5, 2018
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 lymphomasMay Sadik, Erica Lind, Eirini Polymeri, et al.
Clinical Imaging|October 1, 2021
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosisDavid Schmidt, Johannes Ulén, Olof Enqvist, et al.
EJNMMI Physics|August 20, 2025
A fully automated AI-based method for tumour detection and quantification on [<sup>18</sup>F]PSMA-1007 PET-CT images in prostate cancerElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical and Translational Radiation Oncology|October 2, 2020
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truthHanna Sartor, David Minarik, Olof Enqvist, et al.
EJNMMI Physics|August 6, 2020
RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiologyElin Trägårdh, Pablo Borrelli, Reza Kaboteh, et al.
Pageof 4