97 related articles for article (PubMed ID: 26054979)
1. A novel semi-automatic segmentation method for volumetric assessment of the colon based on magnetic resonance imaging.
Sandberg TH; Nilsson M; Poulsen JL; Gram M; Frøkjær JB; Østergaard LR; Drewes AM
Abdom Imaging; 2015 Oct; 40(7):2232-41. PubMed ID: 26054979
[TBL] [Abstract][Full Text] [Related]
2. MRI analysis of fecal volume and dryness: Validation study using an experimental oxycodone-induced constipation model.
Mark EB; Bødker MB; Grønlund D; Østergaard LR; Frøkjaer JB; Drewes AM
J Magn Reson Imaging; 2019 Sep; 50(3):733-745. PubMed ID: 30609164
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Quantification and variability in colonic volume with a novel magnetic resonance imaging method.
Nilsson M; Sandberg TH; Poulsen JL; Gram M; Frøkjaer JB; Østergaard LR; Krogh K; Brock C; Drewes AM
Neurogastroenterol Motil; 2015 Dec; 27(12):1755-63. PubMed ID: 26598050
[TBL] [Abstract][Full Text] [Related]
5. Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding.
Sandmair M; Hammon M; Seuss H; Theis R; Uder M; Janka R
BMC Res Notes; 2016 Nov; 9(1):489. PubMed ID: 27855691
[TBL] [Abstract][Full Text] [Related]
6. Comparison of manual and semi-automated segmentation methods to evaluate hippocampus volume in APP and PS1 transgenic mice obtained via in vivo magnetic resonance imaging.
Hayes K; Buist R; Vincent TJ; Thiessen JD; Zhang Y; Zhang H; Wang J; Summers AR; Kong J; Li XM; Martin M
J Neurosci Methods; 2014 Jan; 221():103-11. PubMed ID: 24091139
[TBL] [Abstract][Full Text] [Related]
7. Semi-automatic MRI segmentation and volume quantification of intra-plaque hemorrhage.
Tang H; Selwaness M; Hameeteman R; van Dijk A; van der Lugt A; Witteman JC; Niessen WJ; van Vliet LJ; van Walsum T
Int J Comput Assist Radiol Surg; 2015 Jan; 10(1):67-74. PubMed ID: 24817176
[TBL] [Abstract][Full Text] [Related]
8. Volumetric glioma quantification: comparison of manual and semi-automatic tumor segmentation for the quantification of tumor growth.
Odland A; Server A; Saxhaug C; Breivik B; Groote R; Vardal J; Larsson C; Bjørnerud A
Acta Radiol; 2015 Nov; 56(11):1396-403. PubMed ID: 25338837
[TBL] [Abstract][Full Text] [Related]
9. Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach.
Shahzad R; Bos D; Metz C; Rossi A; Kirisli H; van der Lugt A; Klein S; Witteman J; de Feyter P; Niessen W; van Vliet L; van Walsum T
Med Phys; 2013 Sep; 40(9):091910. PubMed ID: 24007161
[TBL] [Abstract][Full Text] [Related]
10. Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.
Bones IK; Bos C; Moonen C; Hendrikse J; van Stralen M
Magn Reson Med; 2022 Feb; 87(2):800-809. PubMed ID: 34672029
[TBL] [Abstract][Full Text] [Related]
11. Automated Segmentation of Kidneys from MR Images in Patients with Autosomal Dominant Polycystic Kidney Disease.
Kim Y; Ge Y; Tao C; Zhu J; Chapman AB; Torres VE; Yu AS; Mrug M; Bennett WM; Flessner MF; Landsittel DP; Bae KT;
Clin J Am Soc Nephrol; 2016 Apr; 11(4):576-84. PubMed ID: 26797708
[TBL] [Abstract][Full Text] [Related]
12. User-guided segmentation of preterm neonate ventricular system from 3-D ultrasound images using convex optimization.
Qiu W; Yuan J; Kishimoto J; McLeod J; Chen Y; de Ribaupierre S; Fenster A
Ultrasound Med Biol; 2015 Feb; 41(2):542-56. PubMed ID: 25542486
[TBL] [Abstract][Full Text] [Related]
13. Hyperpolarized 3He magnetic resonance functional imaging semiautomated segmentation.
Kirby M; Heydarian M; Svenningsen S; Wheatley A; McCormack DG; Etemad-Rezai R; Parraga G
Acad Radiol; 2012 Feb; 19(2):141-52. PubMed ID: 22104288
[TBL] [Abstract][Full Text] [Related]
14. Fully automated prostate segmentation on MRI: comparison with manual segmentation methods and specimen volumes.
Turkbey B; Fotin SV; Huang RJ; Yin Y; Daar D; Aras O; Bernardo M; Garvey BE; Weaver J; Haldankar H; Muradyan N; Merino MJ; Pinto PA; Periaswamy S; Choyke PL
AJR Am J Roentgenol; 2013 Nov; 201(5):W720-9. PubMed ID: 24147502
[TBL] [Abstract][Full Text] [Related]
15. Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.
Chlebus G; Meine H; Thoduka S; Abolmaali N; van Ginneken B; Hahn HK; Schenk A
PLoS One; 2019; 14(5):e0217228. PubMed ID: 31107915
[TBL] [Abstract][Full Text] [Related]
16. Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations.
Jovicich J; Marizzoni M; Sala-Llonch R; Bosch B; Bartrés-Faz D; Arnold J; Benninghoff J; Wiltfang J; Roccatagliata L; Nobili F; Hensch T; Tränkner A; Schönknecht P; Leroy M; Lopes R; Bordet R; Chanoine V; Ranjeva JP; Didic M; Gros-Dagnac H; Payoux P; Zoccatelli G; Alessandrini F; Beltramello A; Bargalló N; Blin O; Frisoni GB;
Neuroimage; 2013 Dec; 83():472-84. PubMed ID: 23668971
[TBL] [Abstract][Full Text] [Related]
17. Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging.
Knuth F; Groendahl AR; Winter RM; Torheim T; Negård A; Holmedal SH; Bakke KM; Meltzer S; Futsæther CM; Redalen KR
Phys Imaging Radiat Oncol; 2022 Apr; 22():77-84. PubMed ID: 35602548
[TBL] [Abstract][Full Text] [Related]
18. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods.
de Boer R; Vrooman HA; Ikram MA; Vernooij MW; Breteler MM; van der Lugt A; Niessen WJ
Neuroimage; 2010 Jul; 51(3):1047-56. PubMed ID: 20226258
[TBL] [Abstract][Full Text] [Related]
19. Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI.
Karlsson A; Rosander J; Romu T; Tallberg J; Grönqvist A; Borga M; Dahlqvist Leinhard O
J Magn Reson Imaging; 2015 Jun; 41(6):1558-69. PubMed ID: 25111561
[TBL] [Abstract][Full Text] [Related]
20. Validation of volumetric and single-slice MRI adipose analysis using a novel fully automated segmentation method.
Addeman BT; Kutty S; Perkins TG; Soliman AS; Wiens CN; McCurdy CM; Beaton MD; Hegele RA; McKenzie CA
J Magn Reson Imaging; 2015 Jan; 41(1):233-41. PubMed ID: 24431195
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
