Staartjes VE - Search Results

1

Machine Learning and Intracranial Aneurysms: From Detection to Outcome Prediction.

Stumpo V, Staartjes VE, Esposito G, Serra C, Regli L, Olivi A, Sturiale CL. Stumpo V, et al. Among authors: staartjes ve. Acta Neurochir Suppl. 2022;134:319-331. doi: 10.1007/978-3-030-85292-4_36. Acta Neurochir Suppl. 2022. PMID: 34862556

2

Intraoperative unfolding and postoperative pruning of the pituitary gland after transsphenoidal surgery for pituitary adenoma: A volumetric and endocrinological evaluation.

Staartjes VE, Stricker S, Muscas G, Maldaner N, Holzmann D, Burkhardt JK, Seifert B, Schmid C, Serra C, Regli L. Staartjes VE, et al. Endocrine. 2019 Feb;63(2):231-239. doi: 10.1007/s12020-018-1758-2. Epub 2018 Sep 21. Endocrine. 2019. PMID: 30242602

3

Predicting extent of resection in transsphenoidal surgery for pituitary adenoma.

Serra C, Staartjes VE, Maldaner N, Muscas G, Akeret K, Holzmann D, Soyka MB, Schmid C, Regli L. Serra C, et al. Among authors: staartjes ve. Acta Neurochir (Wien). 2018 Nov;160(11):2255-2262. doi: 10.1007/s00701-018-3690-x. Epub 2018 Sep 29. Acta Neurochir (Wien). 2018. PMID: 30267209

4

Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study.

Staartjes VE, Serra C, Muscas G, Maldaner N, Akeret K, van Niftrik CHB, Fierstra J, Holzmann D, Regli L. Staartjes VE, et al. Neurosurg Focus. 2018 Nov 1;45(5):E12. doi: 10.3171/2018.8.FOCUS18243. Neurosurg Focus. 2018. PMID: 30453454

5

A White Matter Fiber Microdissection Study of the Anterior Perforated Substance and the Basal Forebrain: A Gateway to the Basal Ganglia?

Serra C, Akeret K, Maldaner N, Staartjes VE, Regli L, Baltsavias G, Krayenbühl N. Serra C, et al. Among authors: staartjes ve. Oper Neurosurg (Hagerstown). 2019 Sep 1;17(3):311-320. doi: 10.1093/ons/opy345. Oper Neurosurg (Hagerstown). 2019. PMID: 30476312

6

Anatomical features of primary brain tumors affect seizure risk and semiology.

Akeret K, Serra C, Rafi O, Staartjes VE, Fierstra J, Bellut D, Maldaner N, Imbach LL, Wolpert F, Poryazova R, Regli L, Krayenbühl N. Akeret K, et al. Among authors: staartjes ve. Neuroimage Clin. 2019;22:101688. doi: 10.1016/j.nicl.2019.101688. Epub 2019 Jan 25. Neuroimage Clin. 2019. PMID: 30710869 Free PMC article.

7

Objective measures of functional impairment for degenerative diseases of the lumbar spine: a systematic review of the literature.

Stienen MN, Ho AL, Staartjes VE, Maldaner N, Veeravagu A, Desai A, Gautschi OP, Bellut D, Regli L, Ratliff JK, Park J. Stienen MN, et al. Among authors: staartjes ve. Spine J. 2019 Jul;19(7):1276-1293. doi: 10.1016/j.spinee.2019.02.014. Epub 2019 Mar 2. Spine J. 2019. PMID: 30831316 Free article.

8

Response to "Going beyond scoring systems for cavernous sinus involvement in trans-sphenoidal pituitary surgery".

Serra C, Staartjes VE, Maldaner N, Muscas G, Akeret K, Holzmann D, Soyka MB, Schmid C, Regli L. Serra C, et al. Among authors: staartjes ve. Acta Neurochir (Wien). 2019 May;161(5):1035-1036. doi: 10.1007/s00701-019-03891-8. Epub 2019 Apr 5. Acta Neurochir (Wien). 2019. PMID: 30953155 No abstract available.

9

Machine Learning Algorithm Identifies Patients at High Risk for Early Complications After Intracranial Tumor Surgery: Registry-Based Cohort Study.

van Niftrik CHB, van der Wouden F, Staartjes VE, Fierstra J, Stienen MN, Akeret K, Sebök M, Fedele T, Sarnthein J, Bozinov O, Krayenbühl N, Regli L, Serra C. van Niftrik CHB, et al. Among authors: staartjes ve. Neurosurgery. 2019 Oct 1;85(4):E756-E764. doi: 10.1093/neuros/nyz145. Neurosurgery. 2019. PMID: 31149726

10

Neural network-based identification of patients at high risk for intraoperative cerebrospinal fluid leaks in endoscopic pituitary surgery.

Staartjes VE, Zattra CM, Akeret K, Maldaner N, Muscas G, Bas van Niftrik CH, Fierstra J, Regli L, Serra C. Staartjes VE, et al. J Neurosurg. 2019 Jun 21:1-7. doi: 10.3171/2019.4.JNS19477. Online ahead of print. J Neurosurg. 2019. PMID: 31226693

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