| A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity D Goodman-Meza, A Rudas, JN Chiang, PC Adamson, J Ebinger, N Sun, ... Plos one 15 (9), e0239474, 2020 | 73 | 2020 |
| Prior diagnoses and medications as risk factors for COVID-19 in a Los Angeles Health System TS Chang, Y Ding, MK Freund, R Johnson, T Schwarz, JM Yabu, ... MedRxiv, 2020 | 50 | 2020 |
| Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning BL Hill, N Rakocz, Á Rudas, JN Chiang, S Wang, I Hofer, M Cannesson, ... Scientific reports 11 (1), 15755, 2021 | 48 | 2021 |
| Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors TS Chang, Y Ding, MK Freund, R Johnson, T Schwarz, JM Yabu, ... Iscience 24 (3), 2021 | 14 | 2021 |
| Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning JN Chiang, G Corradetti, MG Nittala, F Corvi, N Rakocz, A Rudas, ... Ophthalmology Retina 7 (2), 118-126, 2023 | 12 | 2023 |
| Phenome-wide association study of polygenic risk score for Alzheimer’s disease in electronic health records M Fu, TS Chang, AL Antonio, M Ariannejad, AM Badillo, B Balliu, ... Frontiers in Aging Neuroscience 14, 800375, 2022 | 8 | 2022 |
| On activity identification pipelines for a low-accuracy EEG device Á Rudas, S Laki 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 5 | 2019 |
| Machine Learning of Physiologic Waveforms and Electronic Health Record Data: A Large Perioperative Data Set of High-Fidelity Physiologic Waveforms. S Kim, S Kwon, A Rudas, R Pal, MK Markey, AC Bovik, M Cannesson Critical Care Clinics 39 (4), 675-687, 2023 | 3 | 2023 |
| Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME) SA Lee, S Jain, A Chen, A Biswas, J Fang, A Rudas, JN Chiang arXiv preprint arXiv:2402.00160, 2024 | 1 | 2024 |
| Association of red blood cell distribution width with hospital admission and in-hospital mortality across all-cause adult emergency department visits WS Hong, A Rudas, EJ Bell, JN Chiang JAMIA open 6 (3), ooad053, 2023 | 1 | 2023 |
| SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data O Avram, B Durmus, N Rakocz, G Corradetti, U An, MG Nitalla, A Rudas, ... Research Square, 2023 | 1 | 2023 |
| Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers A Rudas, JN Chiang, G Corradetti, N Rakocz, O Avram, E Halperin, ... PLOS digital health 2 (2), e0000106, 2023 | 1 | 2023 |
| Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning G Corradetti, JN Chiang, F Corvi, N Rakocz, A Rudas, B Durmus, A Chiu, ... Investigative Ophthalmology & Visual Science 63 (7), 3860-3860, 2022 | 1 | 2022 |
| Labeling activities acquired by a low-accuracy EEG device Á Rudas, S Laki Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings …, 2020 | 1 | 2020 |
| A signal processing tool for extracting features from arterial blood pressure and photoplethysmography waveforms R Pal, A Rudas, K Sungsoo, J Chiang, M Cannesson medRxiv, 2024.03. 14.24304307, 2024 | | 2024 |
| An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method R Pal, A Rudas, S Kim, J Chiang, A Barney, M Cannesson medRxiv, 2024.03. 05.24303735, 2024 | | 2024 |
| Machine Learning of A Rudas, R Pal, MK Markey Data Science in Critical Care, An Issue of Critical Care Clinics, E-Book …, 2023 | | 2023 |
| Forecasting patient census at a university hospital using the Prophet model A Rudas, DJ Weil, SL Jahnke, JN Chiang | | 2023 |
| Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers. PLOS Digit Health 2 (2): e0000106 A Rudas, JN Chiang, G Corradetti, N Rakocz, O Avram, E Halperin | | 2023 |
| Automated large-scale AMD progression prediction using machine-read OCT biomarkers A Rudas, JN Chiang, G Corradetti, N Rakocz, E Halperin, SR Sadda medRxiv, 2022.08. 21.22278906, 2022 | | 2022 |
Sándor LakiEötvös Loránd University, Budapest, HungaryVerified email at elte.hu
