| Delta radiomics improves pulmonary nodule malignancy prediction in lung cancer screening SS Alahmari, D Cherezov, DB Goldgof, LO Hall, RJ Gillies, MB Schabath Ieee Access 6, 77796-77806, 2018 | 84 | 2018 |
| Challenges for the repeatability of deep learning models SS Alahmari, DB Goldgof, PR Mouton, LO Hall IEEE Access 8, 211860-211868, 2020 | 72 | 2020 |
| Automated cell counts on tissue sections by deep learning and unbiased stereology SS Alahmari, D Goldgof, L Hall, HA Phoulady, RH Patel, PR Mouton Journal of chemical neuroanatomy 96, 94-101, 2019 | 47 | 2019 |
| Iterative deep learning based unbiased stereology with human-in-the-loop S Alahmari, D Goldgof, L Hall, P Dave, HA Phoulady, P Mouton 2018 17th ieee international conference on machine learning and applications …, 2018 | 28 | 2018 |
| A comprehensive review of deep learning-based methods for COVID-19 detection using chest X-ray images SS Alahmari, B Altazi, J Hwang, S Hawkins, T Salem Ieee Access 10, 100763-100785, 2022 | 16 | 2022 |
| Automatic cell counting using active deep learning and unbiased stereology SS Alahmari, D Goldgof, LO Hall, PR Mouton 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 12 | 2019 |
| Food state recognition using deep learning SS Alahmari, T Salem Ieee Access 10, 130048-130057, 2022 | 11 | 2022 |
| An adaptive digital stain separation method for deep learning-based automatic cell profile counts P Dave, S Alahmari, D Goldgof, LO Hall, H Morera, PR Mouton Journal of Neuroscience Methods 354, 109102, 2021 | 10 | 2021 |
| Novel stain separation method for automatic stereology of immunostained tissue sections P Dave, D Goldgof, LO Hall, S Alahmari, PR Mouton Innovation in Aging 3 (Supplement_1), 2019 | 8 | 2019 |
| A review of nuclei detection and segmentation on microscopy images using deep learning with applications to unbiased stereology counting SS Alahmari, D Goldgof, LO Hall, PR Mouton IEEE Transactions on Neural Networks and Learning Systems, 2022 | 7 | 2022 |
| A disector-based framework for the automatic optical fractionator P Dave, D Goldgof, LO Hall, Y Kolinko, K Allen, S Alahmari, PR Mouton Journal of Chemical Neuroanatomy 124, 102134, 2022 | 6 | 2022 |
| Classification of global microglia proliferation based on deep learning with local images H Morera, P Dave, Y Kolinko, K Allen, S Alahmari, D Goldgof, LO Hall, ... Medical Imaging 2022: Image Processing 12032, 682-687, 2022 | 5 | 2022 |
| Active deep learning method to automate unbiased stereology cell counting S Alahmari University of South Florida, 2020 | 5 | 2020 |
| An ensemble learning for detecting situational awareness tweets during environmental hazards A Alshehri, S Alahamri 2019 IEEE International Systems Conference (SysCon), 1-8, 2019 | 5 | 2019 |
| Make your bone great again: A study on osteoporosis classification R Paul, S Alahamri, S Malla, GJ Quadri arXiv preprint arXiv:1707.05385, 2017 | 5 | 2017 |
| MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences P Dave, Y Kolinko, H Morera, K Allen, S Alahmari, D Goldgof, LO Hall, ... Medical Imaging 2023: Digital and Computational Pathology 12471, 180-186, 2023 | 4 | 2023 |
| Hall, and Peter R Mouton. Automatic cell counting using active deep learning and unbiased stereology SS Alahmari, D Goldgof, O Lawrence 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 0 | 2 | |
| Attention guided approach for food type and state recognition SS Alahmari, MR Gardner, T Salem Food and Bioproducts Processing, 2024 | 1 | 2024 |
| Mathematical modeling of clonal interference by density-dependent selection in heterogeneous cancer cell lines T Veith, A Schultz, S Alahmari, R Beck, J Johnson, N Andor Cells 12 (14), 1849, 2023 | 1 | 2023 |
| Accurate Phase Detection for ZigBee Using Artificial Neural Network A Alqahtani, AA Alsulami, S Alahmari, M Alrizq Intell. Autom. Soft Comput 36, 2505-2518, 2023 | 1 | 2023 |
Lawrence HallProfessor of Computer Science and Engineering, University of South Florida在 mail.usf.edu 的电子邮件经过验证
