192 related articles for article (PubMed ID: 11901019)
1. Using Bayesian tissue classification to improve the accuracy of vestibular schwannoma volume and growth measurement.
Vokurka EA; Herwadkar A; Thacker NA; Ramsden RT; Jackson A
AJNR Am J Neuroradiol; 2002 Mar; 23(3):459-67. PubMed ID: 11901019
[TBL] [Abstract][Full Text] [Related]
2. Automated 2-Dimensional Measurement of Vestibular Schwannoma: Validity and Accuracy of an Artificial Intelligence Algorithm.
Neve OM; Romeijn SR; Chen Y; Nagtegaal L; Grootjans W; Jansen JC; Staring M; Verbist BM; Hensen EF
Otolaryngol Head Neck Surg; 2023 Dec; 169(6):1582-1589. PubMed ID: 37555251
[TBL] [Abstract][Full Text] [Related]
3. Segmentation of Vestibular Schwannomas on Postoperative Gadolinium-Enhanced T1-Weighted and Noncontrast T2-Weighted Magnetic Resonance Imaging Using Deep Learning.
Yao P; Shavit SS; Shin J; Selesnick S; Phillips CD; Strauss SB
Otol Neurotol; 2022 Dec; 43(10):1227-1239. PubMed ID: 36240735
[TBL] [Abstract][Full Text] [Related]
4. Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.
McGrath H; Li P; Dorent R; Bradford R; Saeed S; Bisdas S; Ourselin S; Shapey J; Vercauteren T
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1445-1455. PubMed ID: 32676869
[TBL] [Abstract][Full Text] [Related]
5. Natural History of Sporadic Vestibular Schwannoma: A Volumetric Study of Tumor Growth.
Lees KA; Tombers NM; Link MJ; Driscoll CL; Neff BA; Van Gompel JJ; Lane JI; Lohse CM; Carlson ML
Otolaryngol Head Neck Surg; 2018 Sep; 159(3):535-542. PubMed ID: 29685084
[TBL] [Abstract][Full Text] [Related]
6. Three-dimensional segmented volumetric analysis of sporadic vestibular schwannomas: comparison of segmented and linear measurements.
Walz PC; Bush ML; Robinett Z; Kirsch CF; Welling DB
Otolaryngol Head Neck Surg; 2012 Oct; 147(4):737-43. PubMed ID: 22588731
[TBL] [Abstract][Full Text] [Related]
7. Volumetrical measurements in vestibular schwannoma, the influence of slice thickness and patient's repositioning.
Luppino FS; Grooters E; de Bruïne FT; Zwinderman AH; van der Mey AG
Otol Neurotol; 2006 Oct; 27(7):962-8. PubMed ID: 17006347
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning for Automated Calculation of Vestibular Schwannoma Volumes.
Cass ND; Lindquist NR; Zhu Q; Li H; Oguz I; Tawfik KO
Otol Neurotol; 2022 Dec; 43(10):1252-1256. PubMed ID: 36109146
[TBL] [Abstract][Full Text] [Related]
9. Congress of Neurological Surgeons Systematic Review and Evidence-Based Guidelines on the Role of Imaging in the Diagnosis and Management of Patients With Vestibular Schwannomas.
Dunn IF; Bi WL; Mukundan S; Delman BN; Parish J; Atkins T; Asher AL; Olson JJ
Neurosurgery; 2018 Feb; 82(2):E32-E34. PubMed ID: 29309686
[TBL] [Abstract][Full Text] [Related]
10. Follow-up assessment of vestibular schwannomas: volume quantification versus two-dimensional measurements.
van de Langenberg R; de Bondt BJ; Nelemans PJ; Baumert BG; Stokroos RJ
Neuroradiology; 2009 Aug; 51(8):517-24. PubMed ID: 19418046
[TBL] [Abstract][Full Text] [Related]
11. Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling.
Şener E; Mumcuoglu EU; Hamcan S
Comput Methods Programs Biomed; 2016 Feb; 124():31-44. PubMed ID: 26574298
[TBL] [Abstract][Full Text] [Related]
12. A Comparison of Repeatability and Usability of Semi-Automated Volume Segmentation Tools for Measurement of Vestibular Schwannomas.
MacKeith SAC; Das T; Graves M; Patterson A; Donnelly N; Mannion R; Axon P; Tysome J
Otol Neurotol; 2018 Jul; 39(6):e496-e505. PubMed ID: 29649049
[TBL] [Abstract][Full Text] [Related]
13. Linear accelerator radiosurgery for vestibular schwannoma: measuring tumor volume changes on serial three-dimensional spoiled gradient-echo magnetic resonance images.
Okunaga T; Matsuo T; Hayashi N; Hayashi Y; Shabani HK; Kaminogo M; Ochi M; Nagata I
J Neurosurg; 2005 Jul; 103(1):53-8. PubMed ID: 16121973
[TBL] [Abstract][Full Text] [Related]
14. A comparison of semi-automated volumetric vs linear measurement of small vestibular schwannomas.
MacKeith S; Das T; Graves M; Patterson A; Donnelly N; Mannion R; Axon P; Tysome J
Eur Arch Otorhinolaryngol; 2018 Apr; 275(4):867-874. PubMed ID: 29335780
[TBL] [Abstract][Full Text] [Related]
15. Slip Interface Imaging Predicts Tumor-Brain Adhesion in Vestibular Schwannomas.
Yin Z; Glaser KJ; Manduca A; Van Gompel JJ; Link MJ; Hughes JD; Romano A; Ehman RL; Huston J
Radiology; 2015 Nov; 277(2):507-17. PubMed ID: 26247776
[TBL] [Abstract][Full Text] [Related]
16. Size and growth rate of sporadic vestibular schwannoma: predictive value of information available at presentation.
Herwadker A; Vokurka EA; Evans DG; Ramsden RT; Jackson A
Otol Neurotol; 2005 Jan; 26(1):86-92. PubMed ID: 15699725
[TBL] [Abstract][Full Text] [Related]
17. An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI.
Shapey J; Wang G; Dorent R; Dimitriadis A; Li W; Paddick I; Kitchen N; Bisdas S; Saeed SR; Ourselin S; Bradford R; Vercauteren T
J Neurosurg; 2019 Dec; 134(1):171-179. PubMed ID: 31812137
[TBL] [Abstract][Full Text] [Related]
18. Texture Analysis of Standard Magnetic Resonance Images to Predict Response to Gamma Knife Radiosurgery in Vestibular Schwannomas.
Speckter H; Santana J; Bido J; Hernandez G; Rivera D; Suazo L; Valenzuela S; Oviedo J; Gonzalez CF; Stoeter P
World Neurosurg; 2019 Dec; 132():e228-e234. PubMed ID: 31493607
[TBL] [Abstract][Full Text] [Related]
19. Analysis of vestibular schwannoma size: A literature review on consistency with measurement techniques.
Li D; Tsimpas A; Germanwala AV
Clin Neurol Neurosurg; 2015 Nov; 138():72-7. PubMed ID: 26282911
[TBL] [Abstract][Full Text] [Related]
20. Vestibular schwannomas: Accuracy of tumor volume estimated by ice cream cone formula using thin-sliced MR images.
Ho HH; Li YH; Lee JC; Wang CW; Yu YL; Hueng DY; Ma HI; Hsu HH; Juan CJ
PLoS One; 2018; 13(2):e0192411. PubMed ID: 29438424
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
