| Analyzing personality through social media profile picture choice L Liu, D Preotiuc-Pietro, ZR Samani, ME Moghaddam, L Ungar Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016 | 367 | 2016 |
| Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr ZR Samani, SC Guntuku, ME Moghaddam, D Preoţiuc-Pietro, LH Ungar PloS one 13 (7), e0198660, 2018 | 52 | 2018 |
| QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images ZR Samani, JA Alappatt, D Parker, AAO Ismail, R Verma Frontiers in Neuroscience 13, 2020 | 34 | 2020 |
| Distinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases ZR Samani, D Parker, R Wolf, W Hodges, S Brem, R Verma Scientific Reports 11 (1), 14469, 2021 | 27 | 2021 |
| A knowledge-based semantic approach for image collection summarization ZR Samani, ME Moghaddam Multimedia Tools and Applications 76, 11917-11939, 2017 | 26 | 2017 |
| Image classification using ontology based improved visual words Z Abdollahpour, ZR Samani, ME Moghaddam 2015 23rd Iranian Conference on Electrical Engineering, 694-698, 2015 | 19 | 2015 |
| 3D-QCNet–A pipeline for automated artifact detection in diffusion MRI images A Ahmad, D Parker, S Dheer, ZR Samani, R Verma Computerized Medical Imaging and Graphics 103, 102151, 2023 | 17 | 2023 |
| The state of the art in developing fuzzy ontologies: A survey ZR Samani, M Shamsfard arXiv preprint arXiv:1805.02290, 2018 | 11 | 2018 |
| Artificial intelligence-based locoregional markers of brain peritumoral microenvironment Z Riahi Samani, D Parker, H Akbari, RL Wolf, S Brem, S Bakas, R Verma Scientific Reports 13 (1), 963, 2023 | 8 | 2023 |
| On the application of fuzzy ontology for qualitative spatial reasoning ZR Samani, M Shamsfard J. Next Gener. Inf. Technol., 2012 | 5 | 2012 |
| A fuzzy ontology model for qualitative spatial reasoning ZR Samani, M Shamsfard 2011 6th International Conference on Computer Sciences and Convergence …, 2011 | 5 | 2011 |
| Image collection summarization method based on semantic hierarchies Z Riahi Samani, M Ebrahimi Moghaddam AI 1 (2), 14, 2020 | 4 | 2020 |
| Deep learning-based peritumoral microstructure mapping in glioblastomas using free water volume fraction ZR Samani, D Parker, JA Alappatt, S Brem, R Verma Neuro-Oncology 22, 158-158, 2020 | 3* | 2020 |
| NIMG-21. Differentiating tumor types based on the peritumoral microenvironment using convolutional neural networks ZR Samani, D Parker, JA Alappatt, S Brem, R Verma Neuro-Oncology 22 (Suppl 2), ii151, 2020 | 3 | 2020 |
| A multi-criteria context-sensitive approach for social image collection summarization ZR Samani, ME Moghaddam Sādhanā 43 (9), 143, 2018 | 3 | 2018 |
| NIMG-23. AI-BASED CONNECTED COMPONENT MARKERS OF BRAIN PERITUMORAL MICROENVIRONMENT USING WATER RESTRICTION INFORMATION ZR Samani, D Parker, H Akbari, RL Wolf, S Brem, S Bakas, R Verma Neuro-Oncology 24 (Suppl 7), vii166, 2022 | | 2022 |
| AI-BASED BIOMARKER OF THE PERITUMORAL REGION USING TISSUE MICROSTRUCTURE ZR Samani, D Parker, R Wolf, S Brem, R Verma NEURO-ONCOLOGY 23, 223-224, 2021 | | 2021 |
| A novel Unsupervised deep learning based diffusion imaging marker of tumor extent ZR Samani, JA Alappatt, D Parker, AAO Ismail, R Verma 2020 Annual Meeting of the Organization for Human Brain Mapping, 2020 | | 2020 |
| Nuclear Population Statistics as an Image Feature for Prognosis and Prediction in Whole-slide Images ZR Samani, MD Zarella, FU Garcia, DE Breen 2nd Digital Pathology Congress, 2016 | | 2016 |
| AI-driven markers of IDH1 mutational status using microstructure-based characterization of peritumoral region in gliomas ZR Samani, D Parker, S Brem, R Verma | | |