| The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 2623 | 2020 |
| Next-generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning algorithms I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, M Hatt, H Zaidi, ... Molecular imaging and biology 22, 1132-1148, 2020 | 112 | 2020 |
| Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer W Lv, S Ashrafinia, J Ma, L Lu, A Rahmim IEEE journal of biomedical and health informatics 24 (8), 2268-2277, 2019 | 80 | 2019 |
| Quantitative nuclear medicine imaging using advanced image reconstruction and radiomics S Ashrafinia The Johns Hopkins University, 2019 | 69 | 2019 |
| Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy PET/CT images D Du, H Feng, W Lv, S Ashrafinia, Q Yuan, Q Wang, W Yang, Q Feng, ... Molecular imaging and biology 22, 730-738, 2020 | 67 | 2020 |
| A physics-guided modular deep-learning based automated framework for tumor segmentation in PET KH Leung, W Marashdeh, R Wray, S Ashrafinia, MG Pomper, A Rahmim, ... Physics in Medicine & Biology 65 (24), 245032, 2020 | 60 | 2020 |
| Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features A Rahmim, KP Bak-Fredslund, S Ashrafinia, L Lu, CR Schmidtlein, ... European journal of radiology 113, 101-109, 2019 | 50 | 2019 |
| Generalized PSF modeling for optimized quantitation in PET imaging S Ashrafinia, H Mohy-ud-Din, NA Karakatsanis, AK Jha, ME Casey, ... Physics in Medicine & Biology 62 (12), 5149, 2017 | 39 | 2017 |
| PO-0981: Results from the Image Biomarker Standardisation Initiative Radiotherapy and Oncology 127, S543-S544, 2018 | 32 | 2018 |
| A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction A Rahmim, CR Schmidtlein, A Jackson, S Sheikhbahaei, C Marcus, ... Physics in Medicine & Biology 61 (1), 227, 2015 | 32 | 2015 |
| Practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in positron emission tomography AK Jha, E Mena, B Caffo, S Ashrafinia, A Rahmim, E Frey, ... Journal of Medical Imaging 4 (1), 011011-011011, 2017 | 31 | 2017 |
| EP-1677: multicentre initiative for standardisation of image biomarkers A Zwanenburg Radiotherapy and Oncology 123, S914-S915, 2017 | 24 | 2017 |
| Source and relay power selection using biogeography-based optimization for cognitive radio systems S Ashrafinia, U Pareek, M Naeem, D Lee 2011 IEEE vehicular technology conference (VTC Fall), 1-5, 2011 | 21 | 2011 |
| Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET KH Leung, SP Rowe, JP Leal, S Ashrafinia, MS Sadaghiani, HW Chung, ... EJNMMI research 12 (1), 76, 2022 | 20 | 2022 |
| Biogeography-based optimization for joint relay assignment and power allocation in cognitive radio systems S Ashrafinia, U Pareek, M Naeem, D Lee 2011 IEEE Symposium on Swarm Intelligence, 1-8, 2011 | 16 | 2011 |
| PET/CT radiomic sequencer for prediction of EGFR and KRAS mutation status in NSCLC patients I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, MG Oghli, M Hatt, ... 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 15 | 2018 |
| A deep-learning-based fully automated segmentation approach to delineate tumors in FDG-PET images of patients with lung cancer K Leung, W Marashdeh, R Wray, S Ashrafinia, A Rahmim, M Pomper, ... Journal of Nuclear Medicine 59 (supplement 1), 323-323, 2018 | 15 | 2018 |
| Binary artificial bee colony for cooperative relay communication in cognitive radio systems S Ashrafinia, U Pareek, M Naeem, DC Lee 2012 IEEE International Conference on Communications (ICC), 1550-1554, 2012 | 14 | 2012 |
| Wireless mesh network planning using quantum inspired evolutionary algorithm HM Ali, S Ashrafinia, J Liu, DC Lee 2011 IEEE Vehicular Technology Conference (VTC Fall), 1-5, 2011 | 14 | 2011 |
| A fully automated deep-learning based method for lesion segmentation in 18F-DCFPyL PSMA PET images of patients with prostate cancer K Leung, S Ashrafinia, MS Sadaghiani, P Dalaie, R Tulbah, Y Yin, ... Journal of Nuclear Medicine 60 (supplement 1), 399-399, 2019 | 12 | 2019 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British Columbia在 ubc.ca 的电子邮件经过验证
