150 related articles for article (PubMed ID: 36471169)
1. Computed tomography-based measurements of normative liver and spleen volumes in children.
de Padua V Alves V; Dillman JR; Somasundaram E; Taylor ZP; Brady SL; Zhang B; Trout AT
Pediatr Radiol; 2023 Mar; 53(3):378-386. PubMed ID: 36471169
[TBL] [Abstract][Full Text] [Related]
2. Population-based and Personalized Reference Intervals for Liver and Spleen Volumes in Healthy Individuals and Those with Viral Hepatitis.
Kim DW; Ha J; Lee SS; Kwon JH; Kim NY; Sung YS; Yoon JS; Suk HI; Lee Y; Kang BK
Radiology; 2021 Nov; 301(2):339-347. PubMed ID: 34402668
[TBL] [Abstract][Full Text] [Related]
3. Approximation of head and neck cancer volumes in contrast enhanced CT.
Dejaco D; Url C; Schartinger VH; Haug AK; Fischer N; Riedl D; Posch A; Riechelmann H; Widmann G
Cancer Imaging; 2015 Sep; 15():16. PubMed ID: 26419914
[TBL] [Abstract][Full Text] [Related]
4. Comparison of MRI- and CT-based semiautomated liver segmentation: a validation study.
Gotra A; Chartrand G; Vu KN; Vandenbroucke-Menu F; Massicotte-Tisluck K; de Guise JA; Tang A
Abdom Radiol (NY); 2017 Feb; 42(2):478-489. PubMed ID: 27680014
[TBL] [Abstract][Full Text] [Related]
5. Validation of a semiautomated liver segmentation method using CT for accurate volumetry.
Gotra A; Chartrand G; Massicotte-Tisluck K; Morin-Roy F; Vandenbroucke-Menu F; de Guise JA; Tang A
Acad Radiol; 2015 Sep; 22(9):1088-98. PubMed ID: 25907454
[TBL] [Abstract][Full Text] [Related]
6. Comparative Evaluation of Three Software Packages for Liver and Spleen Segmentation and Volumetry.
Pattanayak P; Turkbey EB; Summers RM
Acad Radiol; 2017 Jul; 24(7):831-839. PubMed ID: 28258903
[TBL] [Abstract][Full Text] [Related]
7. Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.
Xu Z; Gertz AL; Burke RP; Bansal N; Kang H; Landman BA; Abramson RG
Acad Radiol; 2016 Oct; 23(10):1214-20. PubMed ID: 27519156
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images.
Ahn Y; Yoon JS; Lee SS; Suk HI; Son JH; Sung YS; Lee Y; Kang BK; Kim HS
Korean J Radiol; 2020 Aug; 21(8):987-997. PubMed ID: 32677383
[TBL] [Abstract][Full Text] [Related]
9. Semiautomated thoracic and abdominal computed tomography segmentation using the belief functions theory: application to 3D internal dosimetry.
Dieudonné A; Zhang P; Vannoorenberghe P; Gardin I
Cancer Biother Radiopharm; 2007 Apr; 22(2):275-80. PubMed ID: 17600476
[TBL] [Abstract][Full Text] [Related]
10. Pancreas volumes and predictive factors in healthy children.
Qiu L; Dillman JR; Sun Q; Fei L; Abu-El-Haija M; Trout AT
Pediatr Radiol; 2022 Dec; 52(13):2568-2574. PubMed ID: 35644828
[TBL] [Abstract][Full Text] [Related]
11. Preoperative liver volumetry: how does the slice thickness influence the multidetector computed tomography- and magnetic resonance-liver volume measurements?
Reiner CS; Karlo C; Petrowsky H; Marincek B; Weishaupt D; Frauenfelder T
J Comput Assist Tomogr; 2009; 33(3):390-7. PubMed ID: 19478632
[TBL] [Abstract][Full Text] [Related]
12. Normal organ volume assessment from abdominal CT.
Geraghty EM; Boone JM; McGahan JP; Jain K
Abdom Imaging; 2004; 29(4):482-90. PubMed ID: 15024516
[TBL] [Abstract][Full Text] [Related]
13. Computed tomography liver volumetry using 3-dimensional image data in living donor liver transplantation: effects of the slice thickness on the volume calculation.
Hori M; Suzuki K; Epstein ML; Baron RL
Liver Transpl; 2011 Dec; 17(12):1427-36. PubMed ID: 21850689
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.
Perez AA; Noe-Kim V; Lubner MG; Graffy PM; Garrett JW; Elton DC; Summers RM; Pickhardt PJ
Radiology; 2022 Feb; 302(2):336-342. PubMed ID: 34698566
[TBL] [Abstract][Full Text] [Related]
15. Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis.
Somasundaram E; Castiglione JA; Brady SL; Trout AT
AJR Am J Roentgenol; 2022 Aug; 219(2):326-336. PubMed ID: 35234481
[No Abstract] [Full Text] [Related]
16. 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]
17. Computer-based automated left atrium segmentation and volumetry from ECG-gated coronary CT angiography data: comparison with manual slice segmentation and ultrasound planimetric methods.
Bauer RW; Kraus B; Bernhardt D; Kerl JM; Lehnert T; Ackermann H; Vega-Higuera F; Vogl TJ
Rofo; 2010 Dec; 182(12):1110-7. PubMed ID: 20938885
[TBL] [Abstract][Full Text] [Related]
18. Volumetric measurement of hepatic tumors: Accuracy of manual contouring using CT with volumetric pathology as the reference method.
Pupulim LF; Ronot M; Paradis V; Chemouny S; Vilgrain V
Diagn Interv Imaging; 2018 Feb; 99(2):83-89. PubMed ID: 29221936
[TBL] [Abstract][Full Text] [Related]
19. Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival.
Anyene I; Caan B; Williams GR; Popuri K; Lenchik L; Giri S; Chow V; Beg MF; Cespedes Feliciano EM
J Cachexia Sarcopenia Muscle; 2022 Dec; 13(6):2974-2984. PubMed ID: 36052755
[TBL] [Abstract][Full Text] [Related]
20. Anthropometric approaches and their uncertainties to assigning computational phantoms to individual patients in pediatric dosimetry studies.
Whalen S; Lee C; Williams JL; Bolch WE
Phys Med Biol; 2008 Jan; 53(2):453-71. PubMed ID: 18184999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
