| 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 | 75 | 2020 |
| Deep Learning‐Based Quantification of PET/CT Prostate Gland Uptake: Association with Overall Survival E Polymeri, M Sadik, R Kaboteh, P Borrelli, O Enqvist, J Ulén, M Ohlsson, ... Clinical Physiology and Functional Imaging, 2019 | 51 | 2019 |
| aPROMISE: a novel automated PROMISE platform to standardize evaluation of tumor burden in 18F-DCFPyL images of veterans with prostate cancer N Nickols, A Anand, K Johnsson, J Brynolfsson, P Borreli, N Parikh, ... Journal of Nuclear Medicine 63 (2), 233-239, 2022 | 43 | 2022 |
| Artificial intelligence-aided CT segmentation for body composition analysis: a validation study P Borrelli, R Kaboteh, O Enqvist, J Ulén, E Trägårdh, H Kjölhede, ... European Radiology Experimental 5, 1-6, 2021 | 36 | 2021 |
| Contribution of SPECT/CT for sentinel node localization in patients with ipsilateral breast cancer relapse P Borrelli, ML Donswijk, MP Stokkel, SC Teixeira, H van Tinteren, ... European journal of nuclear medicine and molecular imaging 44, 630-637, 2017 | 32 | 2017 |
| Artificial intelligence‐based versus manual assessment of prostate cancer in the prostate gland: a method comparison study MA Mortensen, P Borrelli, MH Poulsen, O Gerke, O Enqvist, J Ulén, ... Clinical physiology and functional imaging 39 (6), 399-406, 2019 | 30 | 2019 |
| Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival P Borrelli, M Larsson, J Ulén, O Enqvist, E Trägårdh, MH Poulsen, ... Clinical Physiology and Functional Imaging 41 (1), 62-67, 2021 | 27 | 2021 |
| 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 | 23 | 2021 |
| 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 | 15 | 2022 |
| 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 | 8 | 2022 |
| Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer T Ying, P Borrelli, L Edenbrandt, O Enqvist, R Kaboteh, E Trägårdh, ... European Radiology Experimental 5, 1-8, 2021 | 8 | 2021 |
| RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology. EJNMMI Phys 7: 51 E Trägårdh, P Borrelli, R Kaboteh | 5 | 2020 |
| Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients E Polymeri, H Kjölhede, O Enqvist, J Ulén, MH Poulsen, JA Simonsen, ... Scandinavian Journal of Urology 55 (6), 427-433, 2021 | 4 | 2021 |
| Dosimetría individualizada para pacientes de cáncer diferenciado de tiroides basada en tasa de dosis externa. Optimización del número de medidas JA Bautista-Ballesteros, I Torres-Espallardo, P Borrelli, A Rivas-Sanchez, ... Revista Española de Medicina Nuclear e Imagen Molecular 35 (2), 107-114, 2016 | 4 | 2016 |
| 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 | 3 | 2021 |
| Individualized dosimetry in patients with differentiated thyroid cancer based on external dose rate. Optimization of the number of measurements JA Bautista-Ballesteros, I Torres-Espallardo, P Borrelli, A Rivas-Sanchez, ... Revista Española de Medicina Nuclear e Imagen Molecular (English Edition) 35 …, 2016 | 3 | 2016 |
| Prognostic value of automatically acquired biomarkers using artificial intelligence in 18F-Choline PET/CT in high-risk prostate cancer. P Borrelli, O Enqvist, E Polymeri, M Ohlsson, L Edenbrandt Journal of Nuclear Medicine 60 (supplement 1), 1592-1592, 2019 | 1 | 2019 |
| Artificial intelligence based method for automated PET/CT measurements of prostate gland volume and choline uptake P Borrelli, M Mortensen, O Enqvist, J Ulen, MH Poulsen, E Tragardh, ... European Journal of Nuclear Medicine and Molecular Imaging 45 (Suppl. 1 …, 2018 | 1 | 2018 |
| AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans T Ying, P Borrelli, L Edenbrandt, O Enqvist, R Kaboteh, E Trägårdh, ... Osteoporosis and Sarcopenia, 2024 | | 2024 |
| Analytical performance validation of aPROMISE platform for prostate tumor burden, index and dominant tumor assessment with 18F-DCFPyL PET/CT. A pilot study AM García Vicente, C Lucas Lucas, J Pérez-Beteta, P Borrelli, ... Scientific Reports 14 (1), 3001, 2024 | | 2024 |
Olof EnqvistAssistant Professor, Department of Signals and Systems, Chalmers University of Technology, GöteborgVerified email at chalmers.se
