| Foundations of machine learning-based clinical prediction modeling: Part II—Generalization and overfitting JM Kernbach, VE Staartjes Machine Learning in Clinical Neuroscience: Foundations and Applications, 15-21, 2022 | 105 | 2022 |
| Pedicle screw revision in robot-guided, navigated, and freehand thoracolumbar instrumentation: a systematic review and meta-analysis VE Staartjes, AM Klukowska, ML Schröder World neurosurgery 116, 433-443. e8, 2018 | 105 | 2018 |
| Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling VE Staartjes, MP de Wispelaere, WP Vandertop, ML Schröder The Spine Journal 19 (5), 853-861, 2019 | 102 | 2019 |
| Improving recovery after elective degenerative spine surgery: 5-year experience with an enhanced recovery after surgery (ERAS) protocol VE Staartjes, MP de Wispelaere, ML Schröder Neurosurgical focus 46 (4), E7, 2019 | 96 | 2019 |
| Objective measures of functional impairment for degenerative diseases of the lumbar spine: a systematic review of the literature MN Stienen, AL Ho, VE Staartjes, N Maldaner, A Veeravagu, A Desai, ... The Spine Journal 19 (7), 1276-1293, 2019 | 86 | 2019 |
| The five-repetition sit-to-stand test: evaluation of a simple and objective tool for the assessment of degenerative pathologies of the lumbar spine VE Staartjes, ML Schröder Journal of Neurosurgery: Spine 29 (4), 380-387, 2018 | 84 | 2018 |
| Enhanced Recovery After Surgery strategies for elective craniotomy: a systematic review V Stumpo, VE Staartjes, A Quddusi, MV Corniola, E Tessitore, ... Journal of Neurosurgery 135 (6), 1857-1881, 2021 | 83 | 2021 |
| Machine learning–based preoperative predictive analytics for lumbar spinal stenosis A Siccoli, MP de Wispelaere, ML Schröder, VE Staartjes Neurosurgical Focus 46 (5), E5, 2019 | 81 | 2019 |
| Revisions for screw malposition and clinical outcomes after robot-guided lumbar fusion for spondylolisthesis ML Schröder, VE Staartjes Neurosurgical Focus 42 (5), E12, 2017 | 73 | 2017 |
| Machine learning in neurosurgery: a global survey VE Staartjes, V Stumpo, JM Kernbach, AM Klukowska, PS Gadjradj, ... Acta neurochirurgica 162, 3081-3091, 2020 | 67 | 2020 |
| Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study VE Staartjes, C Serra, G Muscas, N Maldaner, K Akeret, CHB van Niftrik, ... Neurosurgical focus 45 (5), E12, 2018 | 63 | 2018 |
| Magnetic resonance imaging–based synthetic computed tomography of the lumbar spine for surgical planning: a clinical proof-of-concept VE Staartjes, PR Seevinck, WP Vandertop, M van Stralen, ML Schröder Neurosurgical focus 50 (1), E13, 2021 | 52 | 2021 |
| Neural network–based identification of patients at high risk for intraoperative cerebrospinal fluid leaks in endoscopic pituitary surgery VE Staartjes, CM Zattra, K Akeret, N Maldaner, G Muscas, CHB van Niftrik, ... Journal of neurosurgery 133 (2), 329-335, 2019 | 52 | 2019 |
| Gender differences in degenerative spine surgery: do female patients really fare worse? A Siccoli, VE Staartjes, MP de Wispelaere, ML Schröder European Spine Journal 27, 2427-2435, 2018 | 46 | 2018 |
| Medical student interest and recruitment in neurosurgery V Stumpo, K Latour, JI Traylor, VE Staartjes, M Giordano, VM Caccavella, ... World neurosurgery 141, 448-454. e6, 2020 | 44 | 2020 |
| Diabetes insipidus and syndrome of inappropriate antidiuresis (SIADH) after pituitary surgery: incidence and risk factors EL Sorba, VE Staartjes, S Voglis, L Tosic, G Brandi, O Tschopp, C Serra, ... Neurosurgical review 44, 1503-1511, 2021 | 43 | 2021 |
| Machine learning algorithm identifies patients at high risk for early complications after intracranial tumor surgery: registry-based cohort study CHB Van Niftrik, F Van Der Wouden, VE Staartjes, J Fierstra, MN Stienen, ... Neurosurgery 85 (4), E756-E764, 2019 | 42 | 2019 |
| Patient-reported outcomes unbiased by length of follow-up after lumbar degenerative spine surgery: do we need 2 years of follow-up? VE Staartjes, A Siccoli, MP de Wispelaere, ML Schröder The Spine Journal 19 (4), 637-644, 2019 | 41 | 2019 |
| Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery TD Azad, J Ehresman, AK Ahmed, VE Staartjes, D Lubelski, MN Stienen, ... The Spine Journal 21 (10), 1610-1616, 2021 | 40 | 2021 |
| Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery S Voglis, CHB van Niftrik, VE Staartjes, G Brandi, O Tschopp, L Regli, ... Pituitary 23, 543-551, 2020 | 40 | 2020 |
Carlo SerraNeurosurgery University Hospital ZurichEmail verificata su usz.ch