受强制性开放获取政策约束的文章 - Hamid Abdollahi了解详情
可在其他位置公开访问的文章:21 篇
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
强制性开放获取政策: Swiss National Science Foundation
Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning
M Nazari, I Shiri, G Hajianfar, N Oveisi, H Abdollahi, MR Deevband, ...
La radiologia medica 125, 754-762, 2020
强制性开放获取政策: Swiss National Science Foundation
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
I Shiri, M Sorouri, P Geramifar, M Nazari, M Abdollahi, Y Salimi, ...
Computers in biology and medicine 132, 104304, 2021
强制性开放获取政策: Swiss National Science Foundation
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
I Shiri, A Akhavanallaf, A Sanaat, Y Salimi, D Askari, Z Mansouri, ...
European radiology 31, 1420-1431, 2021
强制性开放获取政策: Swiss National Science Foundation
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
E Avard, I Shiri, G Hajianfar, H Abdollahi, KR Kalantari, G Houshmand, ...
Computers in Biology and Medicine 141, 105145, 2022
强制性开放获取政策: Swiss National Science Foundation
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
I Shiri, M Amini, M Nazari, G Hajianfar, AH Avval, H Abdollahi, M Oveisi, ...
Computers in biology and medicine 142, 105230, 2022
强制性开放获取政策: Swiss National Science Foundation
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test–retest and image registration analyses
I Shiri, G Hajianfar, A Sohrabi, H Abdollahi, S P. Shayesteh, P Geramifar, ...
Medical physics 47 (9), 4265-4280, 2020
强制性开放获取政策: Swiss National Science Foundation, Swiss Cancer Foundation
Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study
M Edalat-Javid, I Shiri, G Hajianfar, H Abdollahi, H Arabi, N Oveisi, ...
Journal of Nuclear Cardiology 28 (6), 2730-2744, 2021
强制性开放获取政策: Swiss National Science Foundation
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
I Shiri, Y Salimi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, S Mostafaei, ...
Computers in biology and medicine 145, 105467, 2022
强制性开放获取政策: Swiss National Science Foundation
Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma
M Amini, M Nazari, I Shiri, G Hajianfar, MR Deevband, H Abdollahi, ...
Physics in medicine & biology 66 (20), 205017, 2021
强制性开放获取政策: Swiss National Science Foundation
COLI‐Net: deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
I Shiri, H Arabi, Y Salimi, A Sanaat, A Akhavanallaf, G Hajianfar, D Askari, ...
International journal of imaging systems and technology 32 (1), 12-25, 2022
强制性开放获取政策: Swiss National Science Foundation
Diagnosis of COVID-19 using CT image radiomics features: a comprehensive machine learning study involving 26,307 patients
I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ...
medRxiv, 2021.12. 07.21267367, 2021
强制性开放获取政策: Swiss National Science Foundation
Radiomics-guided radiation therapy: opportunities and challenges
H Abdollahi, E Chin, H Clark, DE Hyde, S Thomas, J Wu, CF Uribe, ...
Physics in Medicine & Biology 67 (12), 12TR02, 2022
强制性开放获取政策: Natural Sciences and Engineering Research Council of Canada
COLI-NET: Fully Automated COVID-19 Lung and Infection Pneumonia Lesion Detection and Segmentation from Chest CT Images
I Shiri, H Arabi, Y Salimi, AH Sanaat, A Akhavanalaf, G Hajianfar, D Askari, ...
MedRxiv, 2021.04. 08.21255163, 2021
强制性开放获取政策: Swiss National Science Foundation
Digital twins for personalized healthcare: application to radiopharmaceutical therapies
H Abdollahi, A Rahmim
Frontiers in Biomedical Technologies 10 (1), 1-5, 2023
强制性开放获取政策: Canadian Institutes of Health Research
Multi-level PET and CT fusion radiomics-based survival analysis of NSCLC patients
M Amini, M Nazari, I Shiri, G Hajianfar, MR Deevband, H Abdollahi, ...
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020
强制性开放获取政策: Swiss National Science Foundation
Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ...
International Journal of Imaging Systems and Technology 34 (2), e23028, 2024
强制性开放获取政策: Swiss National Science Foundation
Radiopharmaceutical therapy on-a-chip: a perspective on microfluidic-driven digital twins towards personalized cancer therapies
H Abdollahi, B Saboury, M Soltani, K Shi, C Uribe, A Rahmim
Science bulletin 68 (18), 1983-1988, 2023
强制性开放获取政策: Canadian Institutes of Health Research
Multi-scale temporal imaging: from micro-and meso-to macro-scale-time nuclear medicine
F Farhadi, JR Rajagopal, EM Veziroglu, H Abdollahi, I Shiri, M Nikpanah, ...
PET clinics 18 (1), 135-148, 2023
强制性开放获取政策: US National Institutes of Health
Machine Learning Based Malignancy Prediction in Thyroid Nodules Malignancy: Radiomics Analysis of Ultrasound Images
SP Shayesteh, M Nazari, A Salahshour, AH Avval, G Hajianfar, M Araabi, ...
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020
强制性开放获取政策: Swiss National Science Foundation
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