| Mitigating bias in radiology machine learning: 1. Data handling P Rouzrokh, B Khosravi, S Faghani, M Moassefi, DV Vera Garcia, Y Singh, ... Radiology: Artificial Intelligence 4 (5), e210290, 2022 | 65 | 2022 |
| Mitigating bias in radiology machine learning: 2. Model development K Zhang, B Khosravi, S Vahdati, S Faghani, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220010, 2022 | 50 | 2022 |
| Mitigating bias in radiology machine learning: 3. Performance metrics S Faghani, B Khosravi, K Zhang, M Moassefi, JM Jagtap, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220061, 2022 | 46 | 2022 |
| Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett’s esophagus S Faghani, DC Codipilly, D Vogelsang, M Moassefi, P Rouzrokh, ... Gastrointestinal endoscopy 96 (6), 918-925. e3, 2022 | 25 | 2022 |
| Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews A Valizadeh, M Moassefi, A Nakhostin-Ansari, SH Hosseini Asl, ... BMC Medical Research Methodology 22 (1), 160, 2022 | 21 | 2022 |
| Multitask brain tumor inpainting with diffusion models: A methodological report P Rouzrokh, B Khosravi, S Faghani, M Moassefi, S Vahdati, BJ Erickson arXiv preprint arXiv:2210.12113, 2022 | 14 | 2022 |
| Correlation between the clinical disability and T1 hypointense lesions’ volume in cerebral magnetic resonance imaging of multiple sclerosis patients: a systematic review and … A Valizadeh, M Moassefi, E Barati, M Ali Sahraian, F Aghajani, MR Fattahi CNS Neuroscience & Therapeutics 27 (11), 1268-1280, 2021 | 14 | 2021 |
| Quantifying uncertainty in deep learning of radiologic images S Faghani, M Moassefi, P Rouzrokh, B Khosravi, FI Baffour, MD Ringler, ... Radiology 308 (2), e222217, 2023 | 13 | 2023 |
| Melatonin improves learning and memory of mice with chronic social isolation stress via an interaction between microglia polarization and BDNF/TrkB/CREB signaling pathway S Bagheri, K Moradi, E Ehghaghi, A Badripour, M Keykhaei, ... European Journal of Pharmacology 908, 174358, 2021 | 13 | 2021 |
| A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients M Moassefi, S Faghani, GM Conte, RO Kowalchuk, S Vahdati, ... Journal of neuro-oncology 159 (2), 447-455, 2022 | 12 | 2022 |
| A comparison of three different deep learning-based models to predict the MGMT promoter methylation status in glioblastoma using brain MRI S Faghani, B Khosravi, M Moassefi, GM Conte, BJ Erickson Journal of Digital Imaging 36 (3), 837-846, 2023 | 11 | 2023 |
| A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT S Faghani, FI Baffour, MD Ringler, M Hamilton-Cave, P Rouzrokh, ... Skeletal Radiology 52 (1), 91-98, 2023 | 11 | 2023 |
| Artificial intelligence in radiology: Overview of application types, design, and challenges M Moassefi, S Faghani, B Khosravi, P Rouzrokh, BJ Erickson Seminars in Roentgenology, 2023 | 7 | 2023 |
| THA-AID: deep learning tool for total hip arthroplasty automatic implant detection with uncertainty and outlier quantification P Rouzrokh, JP Mickley, B Khosravi, S Faghani, M Moassefi, WR Schulz, ... The Journal of Arthroplasty 39 (4), 966-973. e17, 2024 | 5 | 2024 |
| Reproducibility of deep learning algorithms developed for medical imaging analysis: A systematic review M Moassefi, P Rouzrokh, GM Conte, S Vahdati, T Fu, A Tahmasebi, ... Journal of Digital Imaging 36 (5), 2306-2312, 2023 | 5 | 2023 |
| The mirror mechanism in schizophrenia: A systematic review and qualitative meta-analysis A Valizadeh, M Mbwogge, A Rasouli Yazdi, N Hedayati Amlashi, A Haadi, ... Frontiers in psychiatry 13, 884828, 2022 | 5 | 2022 |
| Machine learning in cardiovascular imaging: a scoping review of published literature P Rouzrokh, B Khosravi, S Vahdati, M Moassefi, S Faghani, E Mahmoudi, ... Current Radiology Reports 11 (2), 34-45, 2023 | 2 | 2023 |
| Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review B Khosravi, P Rouzrokh, S Faghani, M Moassefi, S Vahdati, E Mahmoudi, ... Diagnostics 12 (10), 2512, 2022 | 2 | 2022 |
| Mri brain tumor segmentation using deep encoder-decoder convolutional neural networks BB Yan, Y Wei, JMM Jagtap, M Moassefi, DVV Garcia, Y Singh, S Vahdati, ... International MICCAI Brainlesion Workshop, 80-89, 2021 | 2 | 2021 |
| Accuracy of machine learning algorithms for the diagnosis of autism spectrum disorder based on cerebral sMRI, rs-fMRI, and EEG: protocols for three systematic reviews and meta … A Valizadeh, M Moassefi, A Nakhostin-Ansari, IM Oskoie, SH Some’eh, ... medRxiv, 2021.06. 29.21254249, 2021 | 2 | 2021 |
Shahriar FaghaniRadiology Department, Mayo ClinicVerified email at mayo.edu
