188 related articles for article (PubMed ID: 27703089)
1. Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage.
Scherer M; Cordes J; Younsi A; Sahin YA; Götz M; Möhlenbruch M; Stock C; Bösel J; Unterberg A; Maier-Hein K; Orakcioglu B
Stroke; 2016 Nov; 47(11):2776-2782. PubMed ID: 27703089
[TBL] [Abstract][Full Text] [Related]
2. Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement.
Wang T; Song N; Liu L; Zhu Z; Chen B; Yang W; Chen Z
BMC Med Imaging; 2021 Aug; 21(1):125. PubMed ID: 34388981
[TBL] [Abstract][Full Text] [Related]
3. Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage.
Ironside N; Chen CJ; Mutasa S; Sim JL; Ding D; Marfatiah S; Roh D; Mukherjee S; Johnston KC; Southerland AM; Mayer SA; Lignelli A; Connolly ES
Stroke; 2020 Mar; 51(3):815-823. PubMed ID: 32078476
[TBL] [Abstract][Full Text] [Related]
4. Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.
Ironside N; Chen CJ; Mutasa S; Sim JL; Marfatia S; Roh D; Ding D; Mayer SA; Lignelli A; Connolly ES
Stroke; 2019 Dec; 50(12):3416-3423. PubMed ID: 31735138
[TBL] [Abstract][Full Text] [Related]
5. Retrospective Methods Analysis of Semiautomated Intracerebral Hemorrhage Volume Quantification From a Selection of the STICH II Cohort (Early Surgery Versus Initial Conservative Treatment in Patients With Spontaneous Supratentorial Lobar Intracerebral Haematomas).
Haley MD; Gregson BA; Mould WA; Hanley DF; Mendelow AD
Stroke; 2018 Feb; 49(2):325-332. PubMed ID: 29321340
[TBL] [Abstract][Full Text] [Related]
6. Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation.
Xue W; Vegunta S; Zwart CM; Aguilar MI; Patel AC; Hoxworth JM; Demaerschalk BM; Mitchell JR
AJNR Am J Neuroradiol; 2017 Aug; 38(8):1536-1542. PubMed ID: 28596188
[TBL] [Abstract][Full Text] [Related]
7. PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT.
Muschelli J; Sweeney EM; Ullman NL; Vespa P; Hanley DF; Crainiceanu CM
Neuroimage Clin; 2017; 14():379-390. PubMed ID: 28275541
[TBL] [Abstract][Full Text] [Related]
8. Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema.
Zhao X; Chen K; Wu G; Zhang G; Zhou X; Lv C; Wu S; Chen Y; Xie G; Yao Z
Eur Radiol; 2021 Jul; 31(7):5012-5020. PubMed ID: 33409788
[TBL] [Abstract][Full Text] [Related]
9. Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset.
Elsheikh S; Elbaz A; Rau A; Demerath T; Fung C; Kellner E; Urbach H; Reisert M
Neuroradiology; 2024 Apr; 66(4):601-608. PubMed ID: 38367095
[TBL] [Abstract][Full Text] [Related]
10. [Hematoma Segmentation of Spontaneous Intracerebral Hemorrhage Based on Watershed and Region-Growing Algorithm].
Zhao JY; Zhou ZS; Wang XY; Zhang HY; Duan ZH; Wang SM; Wan HL; Zhang T
Sichuan Da Xue Xue Bao Yi Xue Ban; 2022 May; 53(3):511-516. PubMed ID: 35642163
[TBL] [Abstract][Full Text] [Related]
11. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
12. Semi-automatic volumetric assessment of perihemorrhagic edema with computed tomography.
Volbers B; Staykov D; Wagner I; Dörfler A; Saake M; Schwab S; Bardutzky J
Eur J Neurol; 2011 Nov; 18(11):1323-8. PubMed ID: 21457176
[TBL] [Abstract][Full Text] [Related]
13. Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT.
Cheimariotis GA; Al-Mashat M; Haris K; Aletras AH; Jögi J; Bajc M; Maglaveras N; Heiberg E
Ann Nucl Med; 2018 Feb; 32(2):94-104. PubMed ID: 29236220
[TBL] [Abstract][Full Text] [Related]
14. Neural network for autonomous segmentation and volumetric assessment of clot and edema in acute and subacute intracerebral hemorrhages.
Lilieholm T; McMillan A; Ahmed A; Henningsen M; Larson M; Block WF
Magn Reson Imaging; 2023 Nov; 103():162-168. PubMed ID: 37541456
[TBL] [Abstract][Full Text] [Related]
15. A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage.
Yu N; Yu H; Li H; Ma N; Hu C; Wang J
Stroke; 2022 Jan; 53(1):167-176. PubMed ID: 34601899
[TBL] [Abstract][Full Text] [Related]
16. Volume-dependent overestimation of spontaneous intracerebral hematoma volume by the ABC/2 formula.
Wang CW; Juan CJ; Liu YJ; Hsu HH; Liu HS; Chen CY; Hsueh CJ; Lo CP; Kao HW; Huang GS
Acta Radiol; 2009 Apr; 50(3):306-11. PubMed ID: 19173095
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of automated intracerebral hemorrhage volume measurement on non-contrast computed tomography: a Swedish Stroke Register cohort study.
Hillal A; Sultani G; Ramgren B; Norrving B; Wassélius J; Ullberg T
Neuroradiology; 2023 Mar; 65(3):479-488. PubMed ID: 36323862
[TBL] [Abstract][Full Text] [Related]
18. Perihematomal edema surrounding spontaneous intracerebral hemorrhage by CT: Ellipsoidal versus morphometric volumetry.
Shulman JG; Jara H; Qureshi MM; Lau H; Finn B; Abbas S; Cervantes-Arslanian AM; Mercado M; Greer D; Chapman M; Mian AZ; Takahashi CE
Medicine (Baltimore); 2020 Jul; 99(28):e20951. PubMed ID: 32664097
[TBL] [Abstract][Full Text] [Related]
19. Comparison of ABC/2 estimation technique to computer-assisted planimetric analysis in warfarin-related intracerebral parenchymal hemorrhage.
Huttner HB; Steiner T; Hartmann M; Köhrmann M; Juettler E; Mueller S; Wikner J; Meyding-Lamade U; Schramm P; Schwab S; Schellinger PD
Stroke; 2006 Feb; 37(2):404-8. PubMed ID: 16373654
[TBL] [Abstract][Full Text] [Related]
20. Generic method for automatic bladder segmentation on cone beam CT using a patient-specific bladder shape model.
van de Schoot AJ; Schooneveldt G; Wognum S; Hoogeman MS; Chai X; Stalpers LJ; Rasch CR; Bel A
Med Phys; 2014 Mar; 41(3):031707. PubMed ID: 24593711
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
