Skip pattern analysis for stratification and detection of undetermined and inconsistent data. - Suzan Arslanturk; Mohammad-Reza Siadat; Theophilus Ogunyemi; Kerima Demirovic; Ananias Diokno (BMEI, 2012)

Skip pattern analysis for detection of undetermined and inconsistent data. - Suzan Arslanturk; Mohammad-Reza Siadat; Theophilus Ogunyemi; Kerima Demirovic; Ananias Diokno (BMEI, 2012)

Skip pattern analysis of the MESA data for stratification. - Suzan Arslanturk; Mohammad-Reza Siadat; Theophilus Ogunyemi; Kerima Demirovic; Ananias Diokno (BMEI, 2012)

Knowing the Enemy at the Gates: Measuring Attacker Motivation. - George P. Corser; Suzan Arslanturk; Jared Oluoch; Huirong Fu; George E. Corser (Int. J. Interdiscip. Telecommun. Netw., 2013)

Clinical data analysis for prediction of urinary incontinence () - Suzan Arslanturk (2015)

Analysis of incomplete and inconsistent clinical survey data. - Suzan Arslanturk; Mohammad-Reza Siadat; Theophilus Ogunyemi; Kim Killinger; Ananias Diokno (Knowl. Inf. Syst., 2016)

Disease Subtyping using Somatic Variant Data. - Suzan Arslanturk; Sorin Draghici (BCB, 2018)

Effect of Missing Data Imputation on Prediction of Urinary Incontinence. - Suzan Arslanturk; Mohammad-Reza Siadat; Theophilus Ogunyemi; Kim Killinger; Ananias Diokno (ICDM Workshops, 2019)

Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets. - Suzan Arslanturk; Sorin Draghici; Tin Nguyen 001 (PSB, 2020)

Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images. - Hassan Abdallah 001; Asiri Liyanaarachchi; Maranda Saigh; Samantha Silvers; Suzan Arslanturk; Douglas J. Taatjes; Lars Larsson 002; Bhanu P. Jena; Domenico L. Gatti (CoRR, 2020)

Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning. - Suleyman Yildirim; Alper Ekrem Murat; Murat Yildirim; Suzan Arslanturk (CoRR, 2020)

DSP: a deep learning based approach to extend the lifetime of wireless sensor networks. - Jack Press; Suzan Arslanturk (Int. J. Sens. Networks, 2020)

Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images. - Hassan Abdallah 001; Brent Formosa; Asiri Liyanaarachchi; Maranda Saigh; Samantha Silvers; Suzan Arslanturk; Douglas J. Taatjes; Lars Larsson 002; Bhanu P. Jena; Domenico L. Gatti (Mach. Learn. Sci. Technol., 2020)

Automated Surgical Term Clustering: A Text Mining Approach for Unstructured Textual Surgery Descriptions. - Tannaz Khaleghi; Alper Ekrem Murat; Suzan Arslanturk; Eric Davies (IEEE J. Biomed. Health Informatics, 2020)

A tree based approach for multi-class classification of surgical procedures using structured and unstructured data. - Tannaz Khaleghi; Alper Ekrem Murat; Suzan Arslanturk (BMC Medical Informatics Decis. Mak., 2021)

"Zero-Shot" Point Cloud Upsampling. - Kaiyue Zhou; Ming Dong 001; Suzan Arslanturk (ICME, 2022)

Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach. - Egbe-Etu Etu; Leslie Monplaisir; Suzan Arslanturk; Sara Masoud; Celestine C. Aguwa; Ihor Markevych; Joseph Miller (IEEE Access, 2022)

Acute coronary syndrome prediction in emergency care: A machine learning approach. - Joshua Emakhu; Leslie Monplaisir; Celestine C. Aguwa; Suzan Arslanturk; Sara Masoud; Hashem Nassereddine; Mohamed S. Hamam; Joseph Miller (Comput. Methods Programs Biomed., 2022)

Integration of incomplete multi-omics data using Knowledge Distillation and Supervised Variational Autoencoders for disease progression prediction. - Sima Ranjbari; Suzan Arslanturk (J. Biomed. Informatics, 2023)

From Silos to Synthesis: A comprehensive review of domain adaptation strategies for multi-source data integration in healthcare. - Shelia Rahman Tuly; Sima Ranjbari; Alper Ekrem Murat; Suzan Arslanturk (Comput. Biol. Medicine, 2025)