| The promise of artificial intelligence and deep learning in PET and SPECT imaging H Arabi, A AkhavanAllaf, A Sanaat, I Shiri, H Zaidi Physica Medica 83, 122-137, 2021 | 180 | 2021 |
| 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 | 96 | 2021 |
| Whole-body voxel-based internal dosimetry using deep learning A Akhavanallaf, I Shiri, H Arabi, H Zaidi European Journal of Nuclear Medicine and Molecular Imaging 48, 670-682, 2021 | 71 | 2021 |
| 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 | 56 | 2022 |
| Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework I Shiri, AV Sadr, M Amini, Y Salimi, A Sanaat, A Akhavanallaf, B Razeghi, ... Clinical Nuclear Medicine 47 (7), 606-617, 2022 | 44 | 2022 |
| 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 | 42 | 2022 |
| 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 | 33 | 2021 |
| Personalized brachytherapy dose reconstruction using deep learning A Akhavanallaf, R Mohammadi, I Shiri, Y Salimi, H Arabi, H Zaidi Computers in biology and medicine 136, 104755, 2021 | 33 | 2021 |
| 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 | 28 | 2021 |
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms I Shiri, S Mostafaei, A Haddadi Avval, Y Salimi, A Sanaat, A Akhavanallaf, ... Scientific reports 12 (1), 14817, 2022 | 24 | 2022 |
| Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains A Sanaat, A Akhavanalaf, I Shiri, Y Salimi, H Arabi, H Zaidi Human brain mapping 43 (16), 5032-5043, 2022 | 20 | 2022 |
| Development of a library of adult computational phantoms based on anthropometric indexes A Akhavanallaf, T Xie, H Zaidi IEEE Transactions on Radiation and Plasma Medical Sciences 3 (1), 65-75, 2018 | 20 | 2018 |
| 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 | 17 | 2022 |
| Assessment of uncertainties associated with Monte Carlo-based personalized dosimetry in clinical CT examinations A Akhavanallaf, T Xie, H Zaidi Physics in Medicine & Biology 65 (4), 045008, 2020 | 15 | 2020 |
| Construction of patient‐specific computational models for organ dose estimation in radiological imaging T Xie, A Akhavanallaf, H Zaidi Medical physics 46 (5), 2403-2411, 2019 | 13 | 2019 |
| PET-QA-NET: Towards routine PET image artifact detection and correction using deep convolutional neural networks I Shiri, A Sanaat, Y Salimi, A Akhavanallaf, H Arabi, A Rahmim, H Zaidi 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 11 | 2021 |
| An update on computational anthropomorphic anatomical models A Akhavanallaf, H Fayad, Y Salimi, A Aly, H Kharita, H Al Naemi, H Zaidi Digital Health 8, 20552076221111941, 2022 | 9 | 2022 |
| 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 | 5 | 2023 |
| Development and validation of an optimal GATE model for proton pencil-beam scanning delivery A Asadi, A Akhavanallaf, SA Hosseini, N Vosoughi, H Zaidi Zeitschrift für Medizinische Physik 33 (4), 591-600, 2023 | 4 | 2023 |
| The predictive value of pretherapy [68Ga]Ga-DOTA-TATE PET and biomarkers in [177Lu]Lu-PRRT tumor dosimetry A Akhavanallaf, AB Peterson, K Fitzpatrick, M Roseland, KK Wong, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (10), 2984-2996, 2023 | 4 | 2023 |
Habib Zaidi, FIEEE, FAIMBE, FAAPM,...Full Professor, Geneva University Hospital and University of GenevaDirección de correo verificada de unige.ch
