Removal of subject-dependent and activity-dependent variation in physiological measures of stress. - Folami Alamudun; Jongyoon Choi; Ricardo Gutierrez-Osuna; Hira Khan; Beena Ahmed (PervasiveHealth, 2012)

Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. - Folami Alamudun; Hong-Jun Yoon; Tracy Hammond; Kathy Hudson; Garnetta Morin-Ducote; Georgia D. Tourassi (Image Perception, Observer Performance, and Technology Assessment, 2016)

Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions. - Vijay Rajanna; Folami Alamudun; Daniel W. Goldberg; Tracy Hammond (EAI Endorsed Trans. Ambient Syst., 2016)

RésuMatcher: A personalized résumé-job matching system. - Shiqiang Guo; Folami Alamudun; Tracy Hammond (Expert Syst. Appl., 2016)

Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. - Folami T. Alamudun; Tracy Hammond; Hong-Jun Yoon; Georgia D. Tourassi (HCI (14), 2017)

Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. - Hong-Jun Yoon; Arvind Ramanathan; Folami Alamudun; Georgia D. Tourassi (IWBI, 2018)

Semi-Supervised Information Extraction for Cancer Pathology Reports. - John X. Qiu; Shang Gao 008; Mohammed M. Alawad; Noah Schaefferkoetter; Folami Alamudun; Hong-Jun Yoon; Xiao-Cheng Wu; Georgia D. Tourassi (BHI, 2019)

Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. - Hong-Jun Yoon; John X. Qiu; James Blair Christian; Jacob D. Hinkle; Folami Alamudun; Georgia D. Tourassi (INNSBDDL, 2019)

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. - Suzanne Parete-Koon; Peter F. Peterson; Garrett E. Granroth; Wenduo Zhou; Pravallika Devineni; Nouamane Laanait; Junqi Yin; Albina Y. Borisevich; Ketan Maheshwari; Melissa R. Allen-Dumas; Srinath Ravulaparthy; Kuldeep R. Kurte; et al. (SMC, 2020)

Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks. - Olivera Kotevska; Folami Alamudun; Christopher B. Stanley (CSCI, 2021)

Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. - Srikanth B. Yoginath; Mathieu Doucet; Debsindhu Bhowmik; David Heise; Folami Alamudun; Hong-Jun Yoon; Christopher B. Stanley (SMC, 2021)

Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. - Folami Alamudun; Jacob D. Hinkle; Sajal Dash; Benjamín Hernández; Aristeidis Tsaris; Hong-Jun Yoon (IEEE Big Data, 2022)

A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. - Sajal Dash; Benjamín Hernández; Aristeidis Tsaris; Folami T. Alamudun; Hong-Jun Yoon; Feiyi Wang (IPDPS Workshops, 2022)