| Fetal ultrasound image segmentation for measuring biometric parameters using multi-task deep learning Z Sobhaninia, S Rafiei, A Emami, N Karimi, K Najarian, S Samavi, ... 2019 41st annual international conference of the IEEE engineering in …, 2019 | 129 | 2019 |
| Brain tumor segmentation using deep learning by type specific sorting of images Z Sobhaninia, S Rezaei, A Noroozi, M Ahmadi, H Zarrabi, N Karimi, ... arXiv preprint arXiv:1809.07786, 2018 | 111 | 2018 |
| RLMD‐PA: a reinforcement learning‐based myocarditis diagnosis combined with a population‐based algorithm for pretraining weights SV Moravvej, R Alizadehsani, S Khanam, Z Sobhaninia, A Shoeibi, ... Contrast Media & Molecular Imaging 2022 (1), 8733632, 2022 | 60 | 2022 |
| Brain tumor segmentation by cascaded deep neural networks using multiple image scales Z Sobhaninia, S Rezaei, N Karimi, A Emami, S Samavi 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-4, 2020 | 51 | 2020 |
| An improved de algorithm to optimise the learning process of a bert-based plagiarism detection model SV Moravvej, SJ Mousavirad, D Oliva, G Schaefer, Z Sobhaninia 2022 IEEE congress on evolutionary computation (CEC), 1-7, 2022 | 44 | 2022 |
| Localization of fetal head in ultrasound images by multiscale view and deep neural networks Z Sobhaninia, A Emami, N Karimi, S Samavi 2020 25th International Computer Conference, Computer Society of Iran (CSICC …, 2020 | 37 | 2020 |
| Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation Z Sobhaninia, N Karimi, P Khadivi, S Samavi Biomedical Signal Processing and Control 85, 104834, 2023 | 20 | 2023 |
| Determination of foveal avascular zone parameters using a new location-aware deep-learning method Z Sobhaninia, H Danesh, R Kafieh, JJ Balaji, V Lakshminarayanan Applications of Machine Learning 2021 11843, 249-259, 2021 | 11 | 2021 |
| 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Z Sobhaninia, S Rafiei, A Emami, N Karimi, K Najarian, S Samavi, ... IEEE, 2019 | 10 | 2019 |
| Brain tumor classification using medial residual encoder layers Z Sobhaninia, N Karimi, P Khadivi, R Roshandel, S Samavi 2022 30th International Conference on Electrical Engineering (ICEE), 442-445, 2020 | 7 | 2020 |
| Reza Soroushmehr SM Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Z Sobhaninia, S Rafiei, A Emami, N Karimi, K Najarian, S Samavi EMBS, 2019 | 7 | 2019 |
| Medial residual encoder layers for classification of brain tumors in magnetic resonance images Z Sobhaninia, N Karimi, P Khadivi, S Samavi 2022 30th International Conference on Electrical Engineering (ICEE), 442-445, 2022 | 4 | 2022 |
| Endoscopy classification model using swin transformer and saliency map Z Sobhaninia, N Abharian, N Karimi, S Shirani, S Samavi arXiv preprint arXiv:2303.06736, 2023 | 3 | 2023 |
| Brain tumor classification by cascaded multiscale multitask learning framework based on feature aggregation Z Sobhaninia, N Karimi, P Khadivi, S Samavi arXiv preprint arXiv:2112.14320, 2021 | 3 | 2021 |
| Enhanced Nuclei Segmentation in Histopathological Images Using a Novel Preprocessing Pipeline and Deep Learning A Tamizifar, P Behzadifar, Z SobhaniNia, N Karimi, P Khadivi, S Samavi 2024 IEEE World AI IoT Congress (AIIoT), 259-264, 2024 | | 2024 |
| Research Article RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights SV Moravvej, R Alizadehsani, S Khanam, Z Sobhaninia, A Shoeibi, ... | | 2022 |
Shadrokh SamaviSeattle University and Adjunct Professor McMaster University在 mcmaster.ca 的电子邮件经过验证