| Clinical correlates of quantitative EEG in Parkinson disease: A systematic review VJ Geraedts, LI Boon, J Marinus, AA Gouw, JJ van Hilten, CJ Stam, ... Neurology 91 (19), 871-883, 2018 | 164 | 2018 |
| Postural instability and gait are associated with severity and prognosis of Parkinson disease JF van der Heeden, J Marinus, P Martinez-Martin, C Rodriguez-Blazquez, ... Neurology 86 (24), 2243-2250, 2016 | 116 | 2016 |
| Predictors of quality of life in acromegaly: no consensus on biochemical parameters VJ Geraedts, CD Andela, GK Stalla, AM Pereira, WR Van Furth, C Sievers, ... Frontiers in endocrinology 8, 40, 2017 | 87 | 2017 |
| A systematic review of MEG‐based studies in Parkinson's disease: The motor system and beyond LI Boon, VJ Geraedts, A Hillebrand, MR Tannemaat, MF Contarino, ... Human brain mapping 40 (9), 2827-2848, 2019 | 66 | 2019 |
| Health outcomes in acromegaly: depression and anxiety are promising targets for improving reduced quality of life VJ Geraedts, C Dimopoulou, M Auer, J Schopohl, GK Stalla, C Sievers Frontiers in Endocrinology 5, 229, 2015 | 64 | 2015 |
| Automated machine learning for EEG-based classification of Parkinson’s disease patients M Koch, V Geraedts, H Wang, M Tannemaat, T Bäck 2019 IEEE international conference on big data (Big Data), 4845-4852, 2019 | 43 | 2019 |
| Machine learning for automated EEG-based biomarkers of cognitive impairment during deep brain stimulation screening in patients with Parkinson’s disease VJ Geraedts, M Koch, MF Contarino, HAM Middelkoop, H Wang, ... Clinical Neurophysiology 132 (5), 1041-1048, 2021 | 42 | 2021 |
| Quantitative EEG reflects non-dopaminergic disease severity in Parkinson’s disease VJ Geraedts, J Marinus, AA Gouw, A Mosch, CJ Stam, JJ van Hilten, ... Clinical Neurophysiology 129 (8), 1748-1755, 2018 | 38 | 2018 |
| Prediction of the levodopa challenge test in Parkinson’s disease using data from a wrist-worn sensor H Khodakarami, L Ricciardi, MF Contarino, R Pahwa, KE Lyons, ... Sensors 19 (23), 5153, 2019 | 36 | 2019 |
| What predicts quality of life after subthalamic deep brain stimulation in Parkinson’s disease? A systematic review VJ Geraedts, S Feleus, J Marinus, JJ van Hilten, MF Contarino European journal of neurology 27 (3), 419-428, 2020 | 35 | 2020 |
| Selecting candidates for Deep Brain Stimulation in Parkinson's disease: the role of patients' expectations VJ Geraedts, ML Kuijf, JJ van Hilten, J Marinus, M Oosterloo, ... Parkinsonism & Related Disorders 66, 207-211, 2019 | 33 | 2019 |
| Importance of reperfusion status after intra-arterial thrombectomy for prediction of outcome in anterior circulation large vessel stroke L Dekker, VJ Geraedts, H Hund, SC Cannegieter, RG Nogueira, M Goyal, ... Interventional Neurology 7 (3-4), 137-147, 2018 | 25 | 2018 |
| Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach MR Tannemaat, M Kefalas, VJ Geraedts, L Remijn-Nelissen, ... Clinical Neurophysiology 146, 49-54, 2023 | 24 | 2023 |
| Effect of deep brain stimulation on caregivers of patients with Parkinson's disease: A systematic review MM van Hienen, MF Contarino, HAM Middelkoop, JJ van Hilten, ... Parkinsonism & Related Disorders, 2020 | 20 | 2020 |
| Assessment of Parkinson’s disease severity from videos using deep architectures Z Yin, VJ Geraedts, Z Wang, MF Contarino, H Dibeklioglu, J Van Gemert IEEE Journal of Biomedical and Health Informatics 26 (3), 1164-1176, 2021 | 19 | 2021 |
| Systematic review-combining neuroprotection with reperfusion in acute ischemic stroke EM Vos, VJ Geraedts, A Van Der Lugt, DWJ Dippel, MJH Wermer, ... Frontiers in neurology 13, 840892, 2022 | 17 | 2022 |
| Intraoperative test stimulation of the subthalamic nucleus aids postoperative programming of chronic stimulation settings in Parkinson's disease VJ Geraedts, RAP van Ham, J Marinus, JJ van Hilten, A Mosch, ... Parkinsonism & Related Disorders 65, 62-66, 2019 | 17 | 2019 |
| Preoperative Electroencephalography‐Based Machine Learning Predicts Cognitive Deterioration after Subthalamic Deep Brain Stimulation VJ Geraedts, M Koch, R Kuiper, M Kefalas, THW Bäck, JJ van Hilten, ... Movement Disorders 36 (10), 2324-2334, 2021 | 16 | 2021 |
| Neonatal quantitative electroencephalography and long‐term outcomes: a systematic review C van’t Westende, VJ Geraedts, T Van Ramesdonk, J Dudink, ... Developmental Medicine & Child Neurology 64 (4), 413-420, 2022 | 14 | 2022 |
| Automated machine learning for the classification of normal and abnormal electromyography data M Kefalas, M Koch, V Geraedts, H Wang, M Tannemaat, T Bäck 2020 IEEE International Conference on Big Data (Big Data), 1176-1185, 2020 | 10 | 2020 |