Saeed S. Alahmari
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
Challenges for the repeatability of deep learning models
SS Alahmari, DB Goldgof, PR Mouton, LO Hall
IEEE Access 8, 211860-211868, 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
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
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
Make your bone great again: A study on osteoporosis classification
R Paul, S Alahamri, S Malla, GJ Quadri
arXiv preprint arXiv:1707.05385, 2017
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
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
An Ensemble Learning for Detecting Situational Awareness Tweets during Environmental Hazards
A Alshehri, S Alahamri
2019 IEEE International Systems Conference (SysCon), 1-8, 2019
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
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, 2022
Active Deep Learning Method to Automate Unbiased Stereology Cell Counting
S Alahmari
University of South Florida, 2020
Food State Recognition Using Deep Learning
SS Alahmari, T Salem
IEEE Access 10, 130048-130057, 2022
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
Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging
A Schultz, S Alahmari, J Johnson, T Veith, Z Siddiqui, I El Naqa, L Heiser, ...
2022 IEEE Eighth International Conference on Big Data Computing Service and …, 2022
Abstract A013: Integrating imaging and sequencing to compute the subcellular organization of a cell’s transcriptome
AR Schultz, S Alahmari, P Singh, Z Siddiqui, E Thomas, E Demir, L Heiser, ...
Cancer Research 82 (10_Supplement), A013-A013, 2022
Abstract A014: Models of neighbors and space: frequency and density dependent dynamics of tumor evolution
T Veith, A Schultz, S Alahmari, N Andor
Cancer Research 82 (10_Supplement), A014-A014, 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
Automated stereology for determining tissue characteristics
SS Alahmari, D Goldgof, LO Hall, PR Mouton
US Patent App. 17/397,891, 2022
2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService)| 978-1-6654-5890-0/22/$31.00© 2022 IEEE| DOI: 10.1109 …
D Agarwal, T Aggarwal, S Alahmari, S Ali, N Andor, M Anisetti, N Atrey, ...
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