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2024
Mark Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
Trägårdh, Elin ^LU ; Ulén, Johannes ; Enqvist, Olof ; Edenbrandt, Lars and Larsson, Måns (2024) In Clinical Physiology and Functional Imaging
- Contribution to journal › Article
Mark Retrospective evaluation of the predictive value of tumour burden at baseline [ 68 Ga]Ga-DOTA-TOC or -TATE PET/CT and tumour dosimetry in GEP-NET patients treated with PRRT.
Gålne, Anni ^LU ; Sundlöv, Anna ^LU ; Enqvist, Olof ^LU ; Sjögreen Gleisner, Katarina ^LU ; Larsson, Erik and Trägårdh, Elin ^LU (2024) In EJNMMI reports 8. p.1-19
- Contribution to journal › Article
Mark A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
Abuhasanein, Suleiman ; Edenbrandt, Lars ; Enqvist, Olof ; Jahnson, Staffan ; Leonhardt, Henrik ; Trägårdh, Elin ^LU ; Ulén, Johannes and Kjölhede, Henrik (2024) In Scandinavian Journal of Urology 59. p.90-97
- Contribution to journal › Article
Mark Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography
Polymeri, Eirini ; Johnsson, Åse A. ; Enqvist, Olof ; Ulén, Johannes ; Pettersson, Niclas ; Nordström, Fredrik ; Kindblom, Jon ; Trägårdh, Elin ^LU ; Edenbrandt, Lars and Kjölhede, Henrik (2024) In Advances in Radiation Oncology 9(3).
- Contribution to journal › Article
2023
Mark AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT
Gålne, Anni ^LU ; Enqvist, Olof ^LU ; Sundlöv, Anna ^LU ; Valind, Kristian ^LU ; Minarik, David ^LU and Trägårdh, Elin ^LU (2023) In European journal of hybrid imaging 7(1).
- Contribution to journal › Article
Mark Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
Lindgren Belal, Sarah ^LU ; Frantz, Sophia ^LU ; Minarik, David ^LU ; Enqvist, Olof ^LU ; Wikström, Erik ; Edenbrandt, Lars and Trägårdh, Elin ^LU (2023) In Seminars in Nuclear Medicine
- Contribution to journal › Article
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
Mark Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
Trägårdh, Elin ^LU ; Enqvist, Olof ; Ulén, Johannes ; Hvittfeldt, Erland ^LU ; Garpered, Sabine ^LU ; Belal, Sarah Lindgren ^LU ; Bjartell, Anders ^LU and Edenbrandt, Lars ^LU (2022) In European Journal of Nuclear Medicine and Molecular Imaging 49(10). p.3412-3418
- Contribution to journal › Article
Mark Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
Trägårdh, Elin ^LU ; Enqvist, Olof ^LU ; Ulén, Johannes ; Jögi, Jonas ^LU ; Bitzén, Ulrika ^LU ; Hedeer, Fredrik ^LU ; Valind, Kristian ^LU ; Garpered, Sabine ^LU ; Hvittfeldt, Erland ^LU and Borrelli, Pablo , et al. (2022) In Diagnostics 12(9).
- Contribution to journal › Article

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