S. Arslanturk

发表

Pacific Symposium on Biocomputing 2020 (761 Pages)

S. Drăghici, S. Arslanturk, 2019 .

Identifying indicators influencing emergency department performance during a medical surge: A consensus-based modified fuzzy Delphi approach

S. Arslanturk, L. Monplaisir, Egbe-Etu Etu, 2022, PloS one.

Neonatal encephalopathy prediction of poor outcome with diffusion-weighted imaging connectome and fixel-based analysis

S. Arslanturk, Jeong-Won Jeong, Sidhartha Tan, 2021, Pediatric Research.

Nanoscale imaging using differential expansion microscopy

B. Jena, S. Arslanturk, D. Taatjes, 2020, Histochemistry and Cell Biology.

Acute coronary syndrome prediction in emergency care: A machine learning approach

S. Arslanturk, C. Aguwa, Joseph Miller, 2022, Comput. Methods Programs Biomed..

Skeletal Muscle Remodeling in Immobilized Patients: Determined Using a Parameter Estimation Histomorphometric Approach

B. Jena, L. Larsson, S. Arslanturk, 2020, bioRxiv.

A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic

S. Arslanturk, I. Tenebe, Joseph Miller, 2022, Healthcare.

Continence Index: a new screening questionnaire to predict the probability of future incontinence in older women in the community

S. Arslanturk, A. Diokno, T. Ogunyemi, 2015, International Urology and Nephrology.

Analysis of incomplete and inconsistent clinical survey data

S. Arslanturk, A. Diokno, T. Ogunyemi, 2016, Knowledge and Information Systems.

Biomarker-driven drug repurposing on biologically similar cancers with DNA-repair deficiencies

Tasnimul Alam Taz, E. Heath, S. Arslanturk, 2022, Frontiers in Genetics.

Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach

S. Arslanturk, L. Monplaisir, C. Aguwa, 2022, IEEE Access.

Integration of Multimodal Data from Disparate Sources for Identifying Disease Subtypes

S. Drăghici, S. Arslanturk, Zhewei Zhang, 2022, Biology.

Discovery of primary prostate cancer biomarkers using cross cancer learning

Douglas B. Craig, S. Drăghici, E. Heath, 2021, Scientific Reports.

Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning

S. Arslanturk, A. Murat, M. Yildirim, 2020, ArXiv.

Disease Subtyping using Somatic Variant Data

Sorin Draghici, Suzan Arslanturk, S. Drăghici, 2018, BCB.

Human skeletal muscle cell atlas: Unraveling cellular secrets utilizing 'muscle-on-a-chip', differential expansion microscopy, mass spectrometry, nanothermometry and machine learning.

Suzan Arslanturk, Douglas J Taatjes, Bhanu P Jena, 2019, Micron.

Stratification of Clinical Survey Data by Using Contingency Tables

Mohammad-Reza Siadat, Suzan Arslanturk, Theophilus Ogunyemi, 2014 .

Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors

S. Arslanturk, A. Diokno, T. Ogunyemi, 2012, Advances in urology.

Nanoscale imaging using differential expansion microscopy

B. Jena, S. Arslanturk, D. Taatjes, 2020, Histochemistry and Cell Biology.

Differential expansion microscopy

B. Jena, S. Arslanturk, D. Taatjes, 2019, bioRxiv.

“Zero-Shot” Point Cloud Upsampling

S. Arslanturk, K. Zhou, Mingtao Dong, 2021, 2022 IEEE International Conference on Multimedia and Expo (ICME).

33 Forecasting Daily Patient Arrivals during COVID-19 in Emergency Departments: A Deep Learning Approach

S. Arslanturk, L. Monplaisir, J. Miller, 2021, Annals of Emergency Medicine.

Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets

Sorin Draghici, Suzan Arslanturk, Tin Nguyen, 2019, PSB.

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning

R. Chinnam, S. Arslanturk, Jeong-Won Jeong, 2023, Scientific reports.

Automated Surgical Term Clustering: A Text Mining Approach for Unstructured Textual Surgery Descriptions

Alper Murat, Suzan Arslanturk, Eric Davies, 2019, IEEE Journal of Biomedical and Health Informatics.

Effect of Missing Data Imputation on Prediction of Urinary Incontinence

Mohammad-Reza Siadat, Suzan Arslanturk, Theophilus Ogunyemi, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images pdf

Lars Larsson, Domenico L. Gatti, Suzan Arslanturk, 2020, Mach. Learn. Sci. Technol..