191 related articles for article (PubMed ID: 25605297)
1. Automatic lung tumor segmentation with leaks removal in follow-up CT studies.
Vivanti R; Joskowicz L; Karaaslan OA; Sosna J
Int J Comput Assist Radiol Surg; 2015 Sep; 10(9):1505-14. PubMed ID: 25605297
[TBL] [Abstract][Full Text] [Related]
2. Automatic detection of new tumors and tumor burden evaluation in longitudinal liver CT scan studies.
Vivanti R; Szeskin A; Lev-Cohain N; Sosna J; Joskowicz L
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1945-1957. PubMed ID: 28856515
[TBL] [Abstract][Full Text] [Related]
3. Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.
Vivanti R; Joskowicz L; Lev-Cohain N; Ephrat A; Sosna J
Med Biol Eng Comput; 2018 Sep; 56(9):1699-1713. PubMed ID: 29524116
[TBL] [Abstract][Full Text] [Related]
4. Automatic segmentation variability estimation with segmentation priors.
Joskowicz L; Cohen D; Caplan N; Sosna J
Med Image Anal; 2018 Dec; 50():54-64. PubMed ID: 30208356
[TBL] [Abstract][Full Text] [Related]
5. Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.
Awad J; Owrangi A; Villemaire L; O'Riordan E; Parraga G; Fenster A
Med Phys; 2012 Feb; 39(2):851-65. PubMed ID: 22320795
[TBL] [Abstract][Full Text] [Related]
6. Computer-based radiological longitudinal evaluation of meningiomas following stereotactic radiosurgery.
Shimol EB; Joskowicz L; Eliahou R; Shoshan Y
Int J Comput Assist Radiol Surg; 2018 Feb; 13(2):215-228. PubMed ID: 29032421
[TBL] [Abstract][Full Text] [Related]
7. A geometric method for the detection and correction of segmentation leaks of anatomical structures in volumetric medical images.
Kronman A; Joskowicz L
Int J Comput Assist Radiol Surg; 2016 Mar; 11(3):369-80. PubMed ID: 26337441
[TBL] [Abstract][Full Text] [Related]
8. Segmentation-based partial volume correction for volume estimation of solid lesions in CT.
Heckel F; Meine H; Moltz JH; Kuhnigk JM; Heverhagen JT; Kiessling A; Buerke B; Hahn HK
IEEE Trans Med Imaging; 2014 Feb; 33(2):462-80. PubMed ID: 24184707
[TBL] [Abstract][Full Text] [Related]
9. Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.
Shi J; Sahiner B; Chan HP; Hadjiiski L; Zhou C; Cascade PN; Bogot N; Kazerooni EA; Wu YT; Wei J
Med Phys; 2007 Apr; 34(4):1336-47. PubMed ID: 17500464
[TBL] [Abstract][Full Text] [Related]
10. Image segmentation errors correction by mesh segmentation and deformation.
Kronman A; Joskowicz L
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):206-13. PubMed ID: 24579142
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans.
Mendrik A; Vonken EJ; van Ginneken B; Smit E; Waaije A; Bertolini G; Viergever MA; Prokop M
Med Phys; 2010 Jun; 37(6):2956-66. PubMed ID: 20632608
[TBL] [Abstract][Full Text] [Related]
13. Automatic segmentation of juxta-pleural tumors from CT images based on morphological feature analysis.
Yong JR; Qi S; van Triest HJ; Kang Y; Qian W
Biomed Mater Eng; 2014; 24(6):3137-44. PubMed ID: 25227023
[TBL] [Abstract][Full Text] [Related]
14. Interactive lung segmentation in abnormal human and animal chest CT scans.
Kockelkorn TT; Schaefer-Prokop CM; Bozovic G; Muñoz-Barrutia A; van Rikxoort EM; Brown MS; de Jong PA; Viergever MA; van Ginneken B
Med Phys; 2014 Aug; 41(8):081915. PubMed ID: 25086546
[TBL] [Abstract][Full Text] [Related]
15. Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT.
Sedghi Gamechi Z; Bons LR; Giordano M; Bos D; Budde RPJ; Kofoed KF; Pedersen JH; Roos-Hesselink JW; de Bruijne M
Eur Radiol; 2019 Sep; 29(9):4613-4623. PubMed ID: 30673817
[TBL] [Abstract][Full Text] [Related]
16. Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification.
Smeets D; Loeckx D; Stijnen B; De Dobbelaer B; Vandermeulen D; Suetens P
Med Image Anal; 2010 Feb; 14(1):13-20. PubMed ID: 19828356
[TBL] [Abstract][Full Text] [Related]
17. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
[TBL] [Abstract][Full Text] [Related]
18. AISLE: an automatic volumetric segmentation method for the study of lung allometry.
Ren H; Kazanzides P
Stud Health Technol Inform; 2011; 163():476-8. PubMed ID: 21335842
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation.
Moses D; Sammut C; Zrimec T
Int J Comput Assist Radiol Surg; 2016 Mar; 11(3):381-95. PubMed ID: 26410842
[TBL] [Abstract][Full Text] [Related]
20. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
