Electrocardiographic manifestations in female team handball players: analyzing ECG changes in athletes von Malmgren, A, Trägårdh, E, Gudmundsson, P, Kjellström, B, Stagmo, M, Dencker, M

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Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival von Polymeri, Eirini, Sadik, May, Kaboteh, Reza, Borrelli, Pablo, Enqvist, Olof, Ulén, Johannes, Ohlsson, Mattias, Trägårdh, Elin, Poulsen, Mads H., Simonsen, Jane A., Hoilund‐Carlsen, Poul Flemming, Johnsson, Åse A., Edenbrandt, Lars

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Diagnostic accuracy of 18F-PSMA-1007 PET/CT in primary staging of intermediate- and high-risk prostate cancer with extended lymph node dissection used as reference method von Ingvar, J.K.O., Hvittfeldt, E., Simoulis, A., Trägårdh, E., Bjartell, A.S.

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Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach von Minarik, David, Enqvist, Olof, Trägårdh, Elin

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Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT von Trägårdh, Elin, Enqvist, Olof, Ulén, Johannes, Jögi, Jonas, Bitzén, Ulrika, Hedeer, Fredrik, Valind, Kristian, Garpered, Sabine, Hvittfeldt, Erland, Borrelli, Pablo, Edenbrandt, Lars

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Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer von Borrelli, Pablo, Góngora, José Luis Loaiza, Kaboteh, Reza, Ulén, Johannes, Enqvist, Olof, Trägårdh, Elin, Edenbrandt, Lars

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A retrospective study assessing the accuracy of [18F]-fluorocholine PET/CT for primary staging of lymph node metastases in intermediate and high-risk prostate cancer patients under... von Puterman, Christopher, Bjöersdorff, Mimmi, Amidi, Jennifer, Anand, Aseem, Soller, Wolfgang, Jiborn, Thomas, Kjölhede, Henrik, Trägårdh, Elin, Bjartell, Anders

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Myocardial perfusion SPECT and SPECT/CT in interventional cardiology von Trägårdh, E., Hasbak, P., Hesse, B.

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Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases von Lindgren Belal, Sarah, Sadik, May, Kaboteh, Reza, Enqvist, Olof, Ulén, Johannes, Poulsen, Mads H., Simonsen, Jane, Høilund-Carlsen, Poul F., Edenbrandt, Lars, Trägårdh, Elin

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RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology von Trägårdh, Elin, Borrelli, Pablo, Kaboteh, Reza, Gillberg, Tony, Ulén, Johannes, Enqvist, Olof, Edenbrandt, Lars

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Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT von Sadik, May, López-Urdaneta, Jesús, Ulén, Johannes, Enqvist, Olof, Krupic, Armin, Kumar, Rajender, Andersson, Per-Ola, Trägårdh, Elin

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Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images von Trägårdh, Elin, Ulén, Johannes, Enqvist, Olof, Edenbrandt, Lars, Larsson, Måns

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Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging von Lindgren Belal, Sarah, Frantz, Sophia, Minarik, David, Enqvist, Olof, Wikström, Erik, Edenbrandt, Lars, Trägårdh, Elin

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Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians von Trägårdh, Elin, Enqvist, Olof, Ulén, Johannes, Hvittfeldt, Erland, Garpered, Sabine, Belal, Sarah Lindgren, Bjartell, Anders, Edenbrandt, Lars

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Artificial intelligence-aided CT segmentation for body composition analysis: a validation study von Borrelli, Pablo, Kaboteh, Reza, Enqvist, Olof, Ulén, Johannes, Trägårdh, Elin, Kjölhede, Henrik, Edenbrandt, Lars

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Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis von Schmidt, David, Ulén, Johannes, Enqvist, Olof, Persson, Erik, Trägårdh, Elin, Leander, Peter, Edenbrandt, Lars

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AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients von Borrelli, Pablo, Ly, John, Kaboteh, Reza, Ulén, Johannes, Enqvist, Olof, Trägårdh, Elin, Edenbrandt, Lars

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Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer: A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clini... von Reza, Mariana, Ohlsson, Mattias, Kaboteh, Reza, Anand, Aseem, Franck-Lissbrant, Ingela, Damber, Jan-Erik, Widmark, Anders, Thellenberg-Karlsson, Camilla, Budäus, Lars, Steuber, Thomas, Eichenauer, Till, Wollmer, Per, Edenbrandt, Lars, Trägårdh, Elin, Bjartell, Anders

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Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index von Lindgren Belal, Sarah, Larsson, Måns, Holm, Jorun, Buch-Olsen, Karen Middelbo, Sörensen, Jens, Bjartell, Anders, Edenbrandt, Lars, Trägårdh, Elin

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Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer von Ying, Thomas, Borrelli, Pablo, Edenbrandt, Lars, Enqvist, Olof, Kaboteh, Reza, Trägårdh, Elin, Ulén, Johannes, Kjölhede, Henrik

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