136 related articles for article (PubMed ID: 35600903)
1.
Nahas KL; Fernandes JF; Vyas N; Crump C; Graham S; Harkiolaki M
Biol Imaging; 2022; 2():. PubMed ID: 35600903
[TBL] [Abstract][Full Text] [Related]
2. 3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning.
Dyhr MCA; Sadeghi M; Moynova R; Knappe C; Kepsutlu Çakmak B; Werner S; Schneider G; McNally J; Noé F; Ewers H
Proc Natl Acad Sci U S A; 2023 Jun; 120(24):e2209938120. PubMed ID: 37276395
[TBL] [Abstract][Full Text] [Related]
3. SuRVoS: Super-Region Volume Segmentation workbench.
Luengo I; Darrow MC; Spink MC; Sun Y; Dai W; He CY; Chiu W; Pridmore T; Ashton AW; Duke EMH; Basham M; French AP
J Struct Biol; 2017 Apr; 198(1):43-53. PubMed ID: 28246039
[TBL] [Abstract][Full Text] [Related]
4. Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench.
Darrow MC; Luengo I; Basham M; Spink MC; Irvine S; French AP; Ashton AW; Duke EMH
J Vis Exp; 2017 Aug; (126):. PubMed ID: 28872144
[TBL] [Abstract][Full Text] [Related]
5. A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
Hareendranathan AR; Mabee M; Punithakumar K; Noga M; Jaremko JL
Int J Comput Assist Radiol Surg; 2016 Jan; 11(1):31-42. PubMed ID: 26092660
[TBL] [Abstract][Full Text] [Related]
6. Automated 3D cytoplasm segmentation in soft X-ray tomography.
Erozan A; Lösel PD; Heuveline V; Weinhardt V
iScience; 2024 Jun; 27(6):109856. PubMed ID: 38784019
[TBL] [Abstract][Full Text] [Related]
7. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
[TBL] [Abstract][Full Text] [Related]
8. Comparison of manual, semi- and fully automated heart segmentation for assessing global left ventricular function in multidetector computed tomography.
Plumhans C; Keil S; Ocklenburg C; Mühlenbruch G; Behrendt FF; Günther RW; Mahnken AH
Invest Radiol; 2009 Aug; 44(8):476-82. PubMed ID: 19561515
[TBL] [Abstract][Full Text] [Related]
9. Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study.
Dreizin D; Bodanapally UK; Neerchal N; Tirada N; Patlas M; Herskovits E
Abdom Radiol (NY); 2016 Nov; 41(11):2203-2208. PubMed ID: 27349420
[TBL] [Abstract][Full Text] [Related]
10. Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation.
Winkel DJ; Weikert TJ; Breit HC; Chabin G; Gibson E; Heye TJ; Comaniciu D; Boll DT
Eur J Radiol; 2020 May; 126():108918. PubMed ID: 32171914
[TBL] [Abstract][Full Text] [Related]
11. A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions.
Wang K; Ma C
Biomed Eng Online; 2016 Apr; 15():39. PubMed ID: 27074891
[TBL] [Abstract][Full Text] [Related]
12. Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis.
Buie HR; Campbell GM; Klinck RJ; MacNeil JA; Boyd SK
Bone; 2007 Oct; 41(4):505-15. PubMed ID: 17693147
[TBL] [Abstract][Full Text] [Related]
13. Effect of segmentation errors on 3D-to-2D registration of implant models in X-ray images.
Mahfouz MR; Hoff WA; Komistek RD; Dennis DA
J Biomech; 2005 Feb; 38(2):229-39. PubMed ID: 15598449
[TBL] [Abstract][Full Text] [Related]
14. Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets.
Blanco PJ; Ziemer PGP; Bulant CA; Ueki Y; Bass R; Räber L; Lemos PA; García-García HM
Med Image Anal; 2022 Jan; 75():102262. PubMed ID: 34670148
[TBL] [Abstract][Full Text] [Related]
15. Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.
Agner SC; Xu J; Madabhushi A
Med Phys; 2013 Mar; 40(3):032305. PubMed ID: 23464337
[TBL] [Abstract][Full Text] [Related]
16. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.
Owens CA; Peterson CB; Tang C; Koay EJ; Yu W; Mackin DS; Li J; Salehpour MR; Fuentes DT; Court LE; Yang J
PLoS One; 2018; 13(10):e0205003. PubMed ID: 30286184
[TBL] [Abstract][Full Text] [Related]
17. An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms.
Bartesaghi A; Sapiro G; Subramaniam S
IEEE Trans Image Process; 2005 Sep; 14(9):1314-23. PubMed ID: 16190467
[TBL] [Abstract][Full Text] [Related]
18. Semi-automated CT segmentation using optic flow and Fourier interpolation techniques.
Huang TC; Zhang G; Guerrero T; Starkschall G; Lin KP; Forster K
Comput Methods Programs Biomed; 2006 Dec; 84(2-3):124-34. PubMed ID: 17027116
[TBL] [Abstract][Full Text] [Related]
19. RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
Philbrick KA; Weston AD; Akkus Z; Kline TL; Korfiatis P; Sakinis T; Kostandy P; Boonrod A; Zeinoddini A; Takahashi N; Erickson BJ
J Digit Imaging; 2019 Aug; 32(4):571-581. PubMed ID: 31089974
[TBL] [Abstract][Full Text] [Related]
20. Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images.
Seuss H; Janka R; Prümmer M; Cavallaro A; Hammon R; Theis R; Sandmair M; Amann K; Bäuerle T; Uder M; Hammon M
J Digit Imaging; 2017 Apr; 30(2):244-254. PubMed ID: 28025731
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]