Human Computation of Big Data in Biomedicine: Making STAR annotations for large scale functional characterization of disease. - Dexter Hadley; James Pan; Osama M. El-Sayed; Jihad Al-Jabban; Imad Al-Jabban; Tej Azad; Shuaib Raza; Mohamed Hadied; Bin Chen; Hyojung Paik; Sanchita Bhattacharya; Marina Sirota; et al. (AMIA, 2015)

Development and Validation of a Machine Learning Algorithm to Identify Delirium Risk in Newly Hospitalized Patients. - Andrew Wong; Albert T. Young; April S. Liang; Ralph Gonzales; Vanja C. Douglas; Dexter Hadley (AMIA, 2018)

Large Scale Advanced Data Analytics on Skin Conditions from Genotype to Phenotype. - Maryam Panahiazar; Darya Fadavi; Jihad Al-Jabban; Laraib Safeer; Imad Al-Jabban; Dexter Hadley (Informatics, 2018)

Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. - Dmytro S. Lituiev; Hari Trivedi; Maryam Panahiazar; Beau Norgeot; Youngho Seo; Benjamin L. Franc; Roy Harnish; Michael Kawczynski; Dexter Hadley (J. Digit. Imaging, 2019)

Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. - Hari Trivedi; Maryam Panahiazar; April Liang; Dmytro Lituiev; Peter Chang; Jae Ho Sohn; Yunn-Yi Chen; Benjamin L. Franc; Bonnie Joe; Dexter Hadley (J. Digit. Imaging, 2019)

Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. - Maryam Panahiazar; Andrew M. Bishara; Yorick Chern; Roohallah Alizadehsani; Omar S. Latif; Dexter Hadley; Ramin E. Beygui (MedInfo, 2021)

Data Analytics of Electronic Medical Record to Study Racial Diversities in Cardiovascular Diagnosis and Treatment. - Maryam Panahiazar; Yorick Chern; Ramon Riojas; Omar S. Latif; Dexter Hadley; Ramin E. Beygui (MIE, 2022)

An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. - Maryam Panahiazar; Yorick Chern; Ramon Riojas; Omar S. Latif; Usha Lokala; Dexter Hadley; Amit P. Sheth; Ramin E. Beygui (MIE, 2022)