Saeed S. Alahmari

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2018, IEEE Access.

Challenges for the Repeatability of Deep Learning Models

Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton, 2020, IEEE Access.

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

Lawrence O. Hall, Dmitry B. Goldgof, Palak Dave, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology

Hady Ahmady Phoulady, Peter R. Mouton, Dmitry Goldgof, 2019, Journal of Chemical Neuroanatomy.

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology

Lawrence O. Hall, Dmitry Goldgof, Peter R. Mouton, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

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

Saeed S. Alahmari, B. Altazi, Jisoo Hwang, 2022, IEEE Access.

Food State Recognition Using Deep Learning

Saeed S. Alahmari, Tawfiq Salem, 2022, IEEE Access.

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

Saeed S. Alahmari, D. Goldgof, L. Hall, 2023, Medical Imaging.

An adaptive digital stain separation method for deep learning-based automatic cell profile counts

Saeed S. Alahmari, D. Goldgof, L. Hall, 2021, Journal of Neuroscience Methods.

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting

Saeed S. Alahmari, 2020 .

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

Saeed S. Alahmari, D. Goldgof, L. Hall, 2022, IEEE Transactions on Neural Networks and Learning Systems.