Nanoscale imaging using differential expansion microscopy SP Pernal, A Liyanaarachchi, DL Gatti, B Formosa, R Pulvender, ER Kuhn, ... Histochemistry and cell biology 153, 469-480, 2020 | 32 | 2020 |
Discovery of primary prostate cancer biomarkers using cross cancer learning K Zhou, S Arslanturk, DB Craig, E Heath, S Draghici Scientific reports 11 (1), 10433, 2021 | 26 | 2021 |
Automated surgical term clustering: A text mining approach for unstructured textual surgery descriptions T Khaleghi, A Murat, S Arslanturk, E Davies IEEE Journal of Biomedical and Health Informatics 24 (7), 2107-2118, 2019 | 18 | 2019 |
Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach EE Etu, L Monplaisir, S Arslanturk, S Masoud, C Aguwa, I Markevych, ... IEEE Access 10, 42243-42251, 2022 | 17 | 2022 |
Integrated cancer subtyping using heterogeneous genome-scale molecular datasets S Arslanturk, S Draghici, T Nguyen Pacific Symposium on Biocomputing 2020, 551-562, 2019 | 15 | 2019 |
Identifying indicators influencing emergency department performance during a medical surge: a consensus-based modified fuzzy Delphi approach EE Etu, L Monplaisir, C Aguwa, S Arslanturk, S Masoud, I Markevych, ... PLoS One 17 (4), e0265101, 2022 | 14 | 2022 |
Acute coronary syndrome prediction in emergency care: A machine learning approach J Emakhu, L Monplaisir, C Aguwa, S Arslanturk, S Masoud, ... Computer methods and programs in biomedicine 225, 107080, 2022 | 13 | 2022 |
A comparison of univariate and multivariate forecasting models predicting emergency department patient arrivals during the COVID-19 pandemic EE Etu, L Monplaisir, S Masoud, S Arslanturk, J Emakhu, I Tenebe, ... Healthcare 10 (6), 1120, 2022 | 12 | 2022 |
Human skeletal muscle cell atlas: Unraveling cellular secrets utilizing ‘muscle-on-a-chip’, differential expansion microscopy, mass spectrometry, nanothermometry and machine … BP Jena, DL Gatti, S Arslanturk, S Pernal, DJ Taatjes Micron 117, 55-59, 2019 | 12 | 2019 |
Analysis of incomplete and inconsistent clinical survey data S Arslanturk, MR Siadat, T Ogunyemi, K Killinger, A Diokno Knowledge and Information Systems 46, 731-750, 2016 | 11 | 2016 |
Continence Index: a new screening questionnaire to predict the probability of future incontinence in older women in the community AC Diokno, T Ogunyemi, MR Siadat, S Arslanturk, KA Killinger International urology and nephrology 47, 1091-1097, 2015 | 11 | 2015 |
“Zero-Shot” Point Cloud Upsampling K Zhou, M Dong, S Arslanturk 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 9 | 2022 |
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images H Abdallah, B Formosa, A Liyanaarachchi, M Saigh, S Silvers, ... Machine Learning: Science and Technology 1 (4), 045004, 2020 | 9 | 2020 |
Prediction System for Heart Disease Based on Ensemble Classifiers J Emakhu, S Shrestha, S Arslanturk Proceedings of the 5th NA International Conference on Industrial Engineering …, 2020 | 9 | 2020 |
Neonatal encephalopathy prediction of poor outcome with diffusion-weighted imaging connectome and fixel-based analysis JW Jeong, MH Lee, N Fernandes, S Deol, S Mody, S Arslanturk, ... Pediatric research 91 (6), 1505-1515, 2022 | 8 | 2022 |
Novel application of statistical methods to identify new urinary incontinence risk factors TO Ogunyemi, MR Siadat, S Arslanturk, KA Killinger, AC Diokno Advances in Urology 2012 (1), 276501, 2012 | 7 | 2012 |
Integration of multimodal data from disparate sources for identifying disease subtypes K Zhou, BS Kottoori, SA Munj, Z Zhang, S Draghici, S Arslanturk Biology 11 (3), 360, 2022 | 6 | 2022 |
Differential expansion microscopy SP Pernal, A Liyanaarachchi, DL Gatti, B Formosa, R Pulvender, ER Kuhn, ... bioRxiv, 699579, 2019 | 5 | 2019 |
Skip pattern analysis for detection of undetermined and inconsistent data S Arslanturk, MR Siadat, T Ogunyemi, K Demirovic, A Diokno 2012 5th international conference on biomedical engineering and informatics …, 2012 | 4 | 2012 |
A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome J Emakhu, EE Etu, L Monplaisir, C Aguwa, S Arslanturk, S Masoud, ... Healthcare Analytics 4, 100249, 2023 | 3 | 2023 |