Saeed Ashrafinia
Saeed Ashrafinia
Research Assistant at Johns Hopkins University, School of Medicine
Dirección de correo verificada de jhu.edu
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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
4062020
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, M Hatt, M Oveisi, ...
arXiv preprint arXiv:1907.02121, 2019
432019
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
212015
EP-1677: multicentre initiative for standardisation of image biomarkers
A Zwanenburg
Radiotherapy and Oncology 123, S914-S915, 2017
202017
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
202011
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 (3), 730-738, 2020
172020
Practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in positron emission tomography
AK Jha, E Mena, BS Caffo, S Ashrafinia, A Rahmim, EC Frey, ...
Journal of Medical Imaging 4 (1), 011011, 2017
172017
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
162019
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
152020
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
152017
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
142011
Quantitative nuclear medicine imaging using advanced image reconstruction and radiomics
S Ashrafinia
PQDT-Global, 2019
132019
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
132012
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
122019
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
112011
Radiomics analysis of clinical myocardial perfusion SPECT to predict coronary artery calcification
S Ashrafinia, P Dalaie, R Yan, P Ghazi, C Marcus, M Taghipour, P Huang, ...
Journal of Nuclear Medicine 59 (supplement 1), 512-512, 2018
82018
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
82018
Towards continualized task-based resolution modeling in PET imaging
S Ashrafinia, N Karakatsanis, H Mohy-ud-Din, A Rahmim
Medical Imaging 2014: Physics of Medical Imaging 9033, 903327, 2014
82014
Application of texture and radiomics analysis to clinical myocardial perfusion SPECT imaging
S Ashrafinia, P Dalaie, R Yan, P Huang, M Pomper, T Schindler, ...
Journal of Nuclear Medicine 59 (supplement 1), 94-94, 2018
72018
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
62018
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Artículos 1–20