受强制性开放获取政策约束的文章 - Zahra Mansouri了解详情
无法在其他位置公开访问的文章：7 篇
Fully Automated Multi-Organ Segmentation in CT Images via Deep Neural Networks
Y Salimi, I Shiri, Z Mansouri, H Zaidi
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： European Commission
Deep Vision Transformers for Prognostic Modeling in COVID-19 Patients using Large Multi-Institutional Chest CT Dataset
I Shiri, Y Salimi, N Sirjani, AH Aval, Z Mansouri, M Amini, A Saberi, ...
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： Swiss National Science Foundation, Swiss Cancer Foundation
DSLS-PET: Unsupervised Deep Generative Simulator for Realistic PET Lesions Synthesis
I Shiri, A Sanaat, M Amini, G Hajianfar, Z Mansouri, A Saberi, Y Salimi, ...
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： US National Science Foundation, Swiss National Science Foundation
Density Dedicated Deep Learning Model for Mammogram Malignancy Classification
M Amini, Y Salimi, Z Mansouri, H Arabi, I Shiri, H Zaidi
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： US National Science Foundation
Real-time Voxel-Wise Patient-Specific Monte Carlo Dose Reconstruction in Total Body CT Scan Images using Deep Neural Network
Y Salimi, A Akhavanallaf, Z Mansouri, I Shiri, H Zaidi
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： European Commission
Interpretable PET/CT Radiomic Based Prognosis Modeling of NSCLC Recurrent Following Complete Resection
M Amini, S Mostafaei, M Poursamimi, S Chatterjee, Z Mansouri, ...
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： US National Science Foundation, Swiss National Science Foundation
Head and Neck Cancer Overall Survival Prognostication Using Dosiomic Features and Random Survival Forest Algorithm
Z Mansouri, Y Salimi, M Amini, G Hajianfar, M Oveisi, I Shiri, H Zaidi
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
强制性开放获取政策： European Commission
可在其他位置公开访问的文章：25 篇
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
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
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
Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging
Y Salimi, I Shiri, A Akhavanallaf, Z Mansouri, A Saberi Manesh, A Sanaat, ...
Insights into Imaging 12, 1-16, 2021
强制性开放获取政策： European Commission
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
Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization
Y Salimi, I Shiri, A Akhavanallaf, Z Mansouri, AH Sanaat, M Pakbin, ...
European Journal of Radiology 157, 110602, 2022
强制性开放获取政策： European Commission
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
Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks
Y Salimi, A Akhavanallaf, Z Mansouri, I Shiri, H Zaidi
European Radiology 33 (12), 9411-9424, 2023
强制性开放获取政策： European Commission
Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies
M Riveira-Martin, A Akhavanallaf, Z Mansouri, N Bianchetto Wolf, Y Salimi, ...
EJNMMI research 13 (1), 63, 2023
强制性开放获取政策： European Commission
Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study
Y Salimi, I Shiri, A Akavanallaf, Z Mansouri, H Arabi, H Zaidi
European Radiology 33 (5), 3243-3252, 2023
强制性开放获取政策： European Commission
Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance
G Hajianfar, M Sabouri, Y Salimi, M Amini, S Bagheri, E Jenabi, S Hekmat, ...
Zeitschrift für Medizinische Physik 34 (2), 242-257, 2024
强制性开放获取政策： Swiss National Science Foundation
Deep learning-assisted multiple organ segmentation from whole-body CT images
Y Salimi, I Shiri, Z Mansouri, H Zaidi
Medrxiv, 2023.10. 20.23297331, 2023
强制性开放获取政策： European Commission
Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study
Z Mansouri, Y Salimi, M Amini, G Hajianfar, M Oveisi, I Shiri, H Zaidi
Radiation oncology 19 (1), 12, 2024
强制性开放获取政策： Swiss National Science Foundation
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