| Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks F Abdolali, J Kapur, JL Jaremko, M Noga, AR Hareendranathan, ... Computers in Biology and Medicine 122, 103871, 2020 | 86 | 2020 |
| Automatic segmentation of maxillofacial cysts in cone beam CT images F Abdolali, RA Zoroofi, Y Otake, Y Sato Computers in biology and medicine 72, 108-119, 2016 | 61 | 2016 |
| Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and Spherical Harmonics F Abdolali, RA Zoroofi, Y Otake, Y Sato Computer methods and programs in biomedicine 139, 197-207, 2017 | 59 | 2017 |
| Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching F Abdolali, RA Zoroofi, M Abdolali, F Yokota, Y Otake, Y Sato International journal of computer assisted radiology and surgery 12, 581-593, 2017 | 55 | 2017 |
| Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods I Nejadgholi, MH Moradi, F Abdolali Computers in biology and medicine 41 (6), 411-419, 2011 | 52 | 2011 |
| Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models S Amiri, M Akbarabadi, F Abdolali, A Nikoofar, AJ Esfahani, S Cheraghi Computers in Biology and Medicine 133, 104409, 2021 | 22 | 2021 |
| A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future F Abdolali arXiv preprint arXiv:2006.05861, 2020 | 14 | 2020 |
| A novel image-based retrieval system for characterization of maxillofacial lesions in cone beam CT images F Abdolali, RA Zoroofi, Y Otake, Y Sato International journal of computer assisted radiology and surgery 14, 785-796, 2019 | 13 | 2019 |
| Mandibular canal segmentation using 3D Active Appearance Models and shape context registration F Abdolali, RA Zoroofi 2014 21th Iranian Conference on Biomedical Engineering (ICBME), 7-11, 2014 | 10 | 2014 |
| Improving face recognition from a single image per person via virtual images produced by a bidirectional network F Abdolali, SA Seyyedsalehi Procedia-Social and Behavioral Sciences 32, 108-116, 2012 | 10 | 2012 |
| Improving pose manifold and virtual images using bidirectional neural networks in face recognition using single image per person F Abdolali, SA Seyyedsalehi 2011 International Symposium on Artificial Intelligence and Signal …, 2011 | 10 | 2011 |
| Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition A Biniaz, F Abdolali, RA Zoroofi IET Image Processing 14 (1), 147-153, 2020 | 4 | 2020 |
| Fully automated detection of the mandibular canal in cone beam CT images using Lie group based statistical shape models F Abdolali, RA Zoroofi, A Biniaz 2018 25th National and 3rd International Iranian Conference on Biomedical …, 2018 | 4 | 2018 |
| Face recognition from a single image per person using deep architecture neural network F Abdolali, S Seyyedsalehi Proceedings of the 3rd International conference on computer and electrical …, 2010 | 4 | 2010 |
| Automatic Detection of Salient Video Frames from Wireless Capsule Endoscopy using Adaptive Singular Value Decomposition A Biniaz, F Abdolali, RA Zoroofi, OH Maghsoudi, Y Sato Iranian Journal of Biomedical Engineering 12 (4), 317-329, 2019 | 2 | 2019 |
| Improving face recognition from a single image per person via virtual images produced by imagination using neural networks F Abdolali, N Dadashi, SA SeyyedSalehi Signal and Data Processing 8 (1), 33-44, 2018 | 2* | 2018 |
| Content based image retrieval for maxillofacial lesions F Abdolali, RA Zoroofi, M Abdolali 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), 5-8, 2015 | 2 | 2015 |
| 顎口腔領域の CT 画像における金属アチファクト低減を用いた筋骨格セグメンテション 金属アチファクトのシミュレションによる精度検証 森谷友香， F Abdolali， 阪本充輝 日本医用画像工学会大会予稿集 38 回, 630-637, 2019 | 1 | 2019 |
| A modified deep learning model in the classification of post-COVID-19 lung disease and a comparative study on Iranian and international databases S Cheraghi, S Amiri, F Abdolali, AJ Esfahani, AAT Zade, R Ahadi, F Ansari, ... International Journal of Radiation Research 22 (1), 55-64, 2024 | | 2024 |
| A machine learning approach for prediction of auditory brain stem response in patients after head-and-neck radiation therapy S Amiri, F Abdolali, A Neshastehriz, A Nikoofar, S Farahani, ... Journal of Cancer Research and Therapeutics 19 (5), 1219-1225, 2023 | | 2023 |
Yoshinobu Sato (佐藤 嘉伸)Professor of Information Science, Nara Institute of Science and Technology (NAIST)在 is.naist.jp 的电子邮件经过验证
