Toward automated quantification of biological microstructures using unbiased stereology. - Om Pavithra Bonam; Daniel Elozory; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

Automatic location of microscopic focal planes for computerized stereology. - Daniel T. Elozory; Om Pavithra Bonam; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

A novel algorithm for automated counting of stained cells on thick tissue sections. - Baishali Chaudhury; Kurt Kramer; Daniel Elozory; Gerry Hernandez; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (CBMS, 2012)

An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. - Baishali Chaudhury; Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (ICIAP (1), 2013)

Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. - Hady Ahmady Phoulady; Baishali Chaudhury; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (SMC, 2014)

Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. - Hady Ahmady Phoulady; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ICIP, 2016)

A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ISBI, 2016)

Nucleus segmentation in histology images with hierarchical multilevel thresholding. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital Pathology, 2016)

A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Comput. Medical Imaging Graph., 2017)

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)

A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection. - Hady Ahmady Phoulady; Peter R. Mouton (CoRR, 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)

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Peter R. Mouton; Kanwaljeet J. S. Anand; Terri Ashmeade; Stephanie Prescott; Yangxin Huang; Yu Sun 004 (MICCAI (3), 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)

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 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 (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)

Enhancing Concept-Based Explanation with Vision-Language Models. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2024)

Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Lawrence O. Hall; Dmitry B. Goldgof (CBMS, 2024)

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (EMBC, 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)

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Peter R. Mouton; Stephanie Prescott; Thao Ho; Yu Sun 004; Dmitry B. Goldgof (IEEE Access, 2024)

Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (CoRR, 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)

Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction Through Physiological Signals. - Jacqueline Hausmann; Jiayi Wang; Marcia Kneusel; Stephanie Prescott; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2025)

Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds. - Anthony McCofie; Abhiram Kandiyana; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2025)

Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (ISBI, 2025)

Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Md Sirajus Salekin; Yu Sun 004; Dmitry B. Goldgof (ACM Comput. Surv., 2025)