Saeed S. Alahmari

According to our database, Saeed S. Alahmari authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting.

Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA.

Saeed S. Alahmari, Lawrence O. Hall, Peter R. Mouton, Dmitry B. Goldgof

IEEE Access, 2024

Segment Anything in Food Images.

Saeed S. Alahmari, Michael Gardner, Tawfiq Salem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences.

Palak Dave, Yaroslav Kolinko, Hunter Morera, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting.

Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Food State Recognition Using Deep Learning.

Saeed S. Alahmari, Tawfiq Salem

IEEE Access, 2022

A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images.

Saeed S. Alahmari, Baderaldeen Altazi, Jisoo Hwang, Samuel H. Hawkins, Tawfiq Salem

IEEE Access, 2022

Classification of global microglia proliferation based on deep learning with local images.

Hunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging.

Andrew Schultz, Saeed S. Alahmari, Joeseph Johnson, Thomas Veith, Zaid Siddiqui, Issam El-Naqa, Laura Heiser, Noemi Andor

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2020

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting.

Saeed S. Alahmari

PhD thesis, 2020

Challenges for the Repeatability of Deep Learning Models.

Saeed S. Alahmari, Dmitry B. Goldgof, Peter R. Mouton, Lawrence O. Hall

IEEE Access, 2020

2019

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology.

Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening.

Saeed S. Alahmari, Dmitry Cherezov, Dmitry B. Goldgof, Lawrence O. Hall, Robert J. Gillies, Matthew B. Schabath

IEEE Access, 2018

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop.

Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018