Johannes Ulén (Former)

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2022
Mark Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
Schmidt, David ^LU ; Ulén, Johannes ^LU ; Enqvist, Olof ^LU ; Persson, Erik ^LU ; Trägårdh, Elin ^LU ; Leander, Peter ^LU and Edenbrandt, Lars ^LU (2022) In Clinical Imaging 81. p.54-59
- Contribution to journal › Article
Mark Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
Borrelli, Pablo ; Góngora, José Luis Loaiza ; Kaboteh, Reza ; Ulén, Johannes ^LU ; Enqvist, Olof ; Trägårdh, Elin ^LU and Edenbrandt, Lars ^LU (2022) In EJNMMI Physics 9(1).
- Contribution to journal › Article
2021
Mark Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
Borrelli, Pablo ; Kaboteh, Reza ; Enqvist, Olof ; Ulén, Johannes ^LU ; Trägårdh, Elin ^LU ; Kjölhede, Henrik ^LU and Edenbrandt, Lars ^LU (2021) In European Radiology Experimental 5(1).
- Contribution to journal › Article
Mark AI-based detection of lung lesions in [¹⁸F]FDG PET-CT from lung cancer patients
Borrelli, Pablo ; Ly, John ^LU ; Kaboteh, Reza ; Ulén, Johannes ^LU ; Enqvist, Olof ; Trägårdh, Elin ^LU and Edenbrandt, Lars ^LU (2021) In EJNMMI Physics 8(1).
- Contribution to journal › Article
Mark Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
Borrelli, Pablo ; Larsson, Måns ; Ulén, Johannes ^LU ; Enqvist, Olof ^LU ; Trägårdh, Elin ^LU ; Poulsen, Mads Hvid ; Mortensen, Mike Allan ; Kjölhede, Henrik ^LU ; Høilund-Carlsen, Poul Flemming and Edenbrandt, Lars ^LU (2021) In Clinical Physiology and Functional Imaging 41(1). p.62-67
- Contribution to journal › Article
2020
Mark Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
Polymeri, Eirini ; Sadik, May ; Kaboteh, Reza ; Borrelli, Pablo ; Enqvist, Olof ; Ulén, Johannes ^LU ; Ohlsson, Mattias ^LU ; Trägårdh, Elin ^LU ; Poulsen, Mads H. and Simonsen, Jane A. , et al. (2020) In Clinical Physiology and Functional Imaging 40(2). p.106-113
- Contribution to journal › Article
Mark Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
Sartor, Hanna ^LU ; Minarik, David ^LU ; Enqvist, Olof ^LU ; Ulén, Johannes ^LU ; Wittrup, Anders ^LU ; Bjurberg, Maria ^LU and Trägårdh, Elin ^LU (2020) In Clinical and Translational Radiation Oncology 25. p.37-45
- Contribution to journal › Article
Mark RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
Trägårdh, Elin ^LU ; Borrelli, Pablo ; Kaboteh, Reza ; Gillberg, Tony ; Ulén, Johannes ^LU ; Enqvist, Olof ^LU and Edenbrandt, Lars ^LU (2020) In EJNMMI Physics 7(1).
- Contribution to journal › Article
2019
Mark Shape-aware label fusion for multi-atlas frameworks
Alvén, Jennifer ; Kahl, Fredrik ^LU ; Landgren, Matilda ^LU ; Larsson, Viktor ^LU ; Ulén, Johannes ^LU and Enqvist, Olof ^LU (2019) In Pattern Recognition Letters 124. p.109-117
- Contribution to journal › Article
Mark 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 lymphomas
Sadik, May ; Lind, Erica ; Polymeri, Eirini ; Enqvist, Olof ; Ulén, Johannes ^LU and Trägårdh, Elin ^LU (2019) In Clinical Physiology and Functional Imaging 39(1). p.78-84
- Contribution to journal › Article

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