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 (ICMLA, 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)

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (SMC, 2019)

Challenges for the Repeatability of Deep Learning Models. - Saeed S. Alahmari; Dmitry B. Goldgof; Peter R. Mouton; Lawrence O. Hall (IEEE Access, 2020)

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting. - Saeed S. Alahmari (2020)

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 (BigDataService, 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 (Image Processing, 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)

Food State Recognition Using Deep Learning. - Saeed S. Alahmari; Tawfiq Salem (IEEE Access, 2022)

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 (CBMS, 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 (Digital and Computational Pathology, 2023)

Segment Anything in Food Images. - Saeed S. Alahmari; Michael Gardner; Tawfiq Salem (CVPR Workshops, 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)

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., 2024)