| A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records S Ansari, N Farzaneh, M Duda, K Horan, HB Andersson, ZD Goldberger, ... IEEE reviews in biomedical engineering 10, 264-298, 2017 | 155 | 2017 |
| A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication N Farzaneh, CA Williamson, J Gryak, K Najarian NPJ digital medicine 4 (1), 78, 2021 | 58 | 2021 |
| Automated segmentation and severity analysis of subdural hematoma for patients with traumatic brain injuries N Farzaneh, CA Williamson, C Jiang, A Srinivasan, JR Bapuraj, J Gryak, ... Diagnostics 10 (10), 773, 2020 | 44 | 2020 |
| Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome N Farzaneh, S Ansari, E Lee, KR Ward, MW Sjoding NPJ Digital Medicine 6 (1), 62, 2023 | 40 | 2023 |
| A deep learning framework for automated detection and quantitative assessment of liver trauma N Farzaneh, EB Stein, R Soroushmehr, J Gryak, K Najarian BMC medical imaging 22 (1), 39, 2022 | 32 | 2022 |
| Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients N Farzaneh, SMR Soroushmehr, CA Williamson, C Jiang, A Srinivasan, ... 2017 39th annual international conference of the IEEE engineering in …, 2017 | 32 | 2017 |
| Atlas based 3D liver segmentation using adaptive thresholding and superpixel approaches N Farzaneh, S Habbo-Gavin, SMR Soroushmehr, H Patel, DP Fessell, ... 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 19 | 2017 |
| Automated kidney segmentation for traumatic injured patients through ensemble learning and active contour modeling N Farzaneh, SMR Soroushmehr, H Patel, A Wood, J Gryak, D Fessell, ... 2018 40th annual international conference of the IEEE engineering in …, 2018 | 16 | 2018 |
| External validation and comparison of a general ward deterioration index between diversely different health systems BC Cummings, JM Blackmer, JR Motyka, N Farzaneh, L Cao, EL Bisco, ... Critical Care Medicine 51 (6), 775-786, 2023 | 13 | 2023 |
| Teaching Python for Data Science: Collaborative development of a modular & interactive curriculum M Duda, KL Sovacool, N Farzaneh, VK Nguyen, SE Haynes, H Falk, ... The Journal of open source education 4 (46), 138, 2021 | 11 | 2021 |
| Midline shift vs. mid-surface shift: correlation with outcome of traumatic brain injuries C Jiang, J Cao, C Williamson, N Farzaneh, V Rajajee, J Gryak, K Najarian, ... 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 10 | 2019 |
| Liver segmentation using location and intensity probabilistic atlases N Farzaneh, S Samavi, SMR Soroushmehr, H Patel, S Habbo-Gavin, ... 2016 38th annual international conference of the IEEE engineering in …, 2016 | 10 | 2016 |
| Fully automated spleen localization and segmentation using machine learning and 3D active contours A Wood, SMR Soroushmehr, N Farzaneh, D Fessell, KR Ward, J Gryak, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 8 | 2018 |
| A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records. IEEE Rev Biomed Eng 10: 264–298 S Ansari, N Farzaneh, M Duda, K Horan, HB Andersson, ZD Goldberger, ... | 5 | 2017 |
| A comprehensive comparison of six publicly available algorithms for localization of QRS complex on electrocardiograph N Farzaneh, H Ghanbari, M Liu, L Cao, KR Ward, S Ansari 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 4 | 2023 |
| Real-time detection of intradialytic hypotension using a novel polyvinylidene fluoride based sensor S Ansari, N Farzaneh, M Heung, K Oldham, H Derksen, KR Ward, ... 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 4 | 2016 |
| Impact of follicle size before luteal progesterone supplementation on clinical outcomes of modified natural cycle single frozen embryo transfer SK Kavoussi, SH Chen, N Farzaneh, A Farahi, R Mehrabani-Farsi, ... F&S Reports 6 (1), 47-51, 2025 | 2 | 2025 |
| Deep learning model performance for identifying pediatric acute respiratory distress syndrome on chest radiographs JG Kohne, N Farzaneh, RP Barbaro, MG Mahani, S Ansari, MW Sjoding Intensive Care Medicine–Paediatric and Neonatal 2 (1), 5, 2024 | 2 | 2024 |
| Robustness of Residual Network in Predicting PR Interval Trained Using Noisy Labels L Cao, H Ghanbari, N Farzaneh, KR Ward, S Ansari | 2 | 2022 |
| 21 Optimizing AI-physician collaboration for enhanced diagnostic accuracy: A case study on acute respiratory distress syndrome detection using chest X-ray imaging N Farzaneh, S Ansari, E Lee, KR Ward, MW Sjoding Journal of Clinical and Translational Science 9 (s1), 7-8, 2025 | 1 | 2025 |
