| 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 | 97 | 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 | 64 | 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 | 63 | 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 | 58 | 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 | 56 | 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 | 24 | 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 | 12 | 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 |
| 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 | 1 | 2023 |
| 顎口腔領域の CT 画像における金属アーチファクト低減を用いた筋骨格セグメンテーション 金属アーチファクトのシミュレー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 |
| 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 | 1 | 2015 |
| 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 Amiris, F Abdolali, AJ Esfahani, AAT Zade, R Ahadi, ... International Journal of Radiation Research 22 (1), 55-64, 2024 | | 2024 |
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
