55 related articles for article (PubMed ID: 23286115)
1. Automatic detection and segmentation of kidneys in 3D CT images using random forests.
Cuingnet R; Prevost R; Lesage D; Cohen LD; Mory B; Ardon R
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):66-74. PubMed ID: 23286115
[TBL] [Abstract][Full Text] [Related]
2. Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT.
Linguraru MG; Pura JA; Pamulapati V; Summers RM
Med Image Anal; 2012 May; 16(4):904-14. PubMed ID: 22377657
[TBL] [Abstract][Full Text] [Related]
3. Multi-organ segmentation from multi-phase abdominal CT via 4D graphs using enhancement, shape and location optimization.
Linguraru MG; Pura JA; Chowdhury AS; Summers RM
Med Image Comput Comput Assist Interv; 2010; 13(Pt 3):89-96. PubMed ID: 20879387
[TBL] [Abstract][Full Text] [Related]
4. Contour-driven regression for label inference in atlas-based segmentation.
Wachinger C; Sharp GC; Golland P
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):211-8. PubMed ID: 24505763
[TBL] [Abstract][Full Text] [Related]
5. Sparse patch based prostate segmentation in CT images.
Liao S; Gao Y; Shen D
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):385-92. PubMed ID: 23286154
[TBL] [Abstract][Full Text] [Related]
6. A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations.
Roth HR; Lu L; Seff A; Cherry KM; Hoffman J; Wang S; Liu J; Turkbey E; Summers RM
Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):520-7. PubMed ID: 25333158
[TBL] [Abstract][Full Text] [Related]
7. 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers.
Seff A; Lu L; Cherry KM; Roth HR; Liu J; Wang S; Hoffman J; Turkbey EB; Summers RM
Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):544-52. PubMed ID: 25333161
[TBL] [Abstract][Full Text] [Related]
8. SPARSE: Seed Point Auto-Generation for Random Walks Segmentation Enhancement in medical inhomogeneous targets delineation of morphological MR and CT images.
Chen H; Zhen X; Gu X; Yan H; Cervino L; Xiao Y; Zhou L
J Appl Clin Med Phys; 2015 Mar; 16(2):5324. PubMed ID: 26103201
[TBL] [Abstract][Full Text] [Related]
9. A Multiorgan Segmentation Model for CT Volumes via Full Convolution-Deconvolution Network.
Yang Y; Jiang H; Sun Q
Biomed Res Int; 2017; 2017():6941306. PubMed ID: 29075646
[TBL] [Abstract][Full Text] [Related]
10. Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images.
Chung MK; Qiu A; Seo S; Vorperian HK
Med Image Anal; 2015 May; 22(1):63-76. PubMed ID: 25791435
[TBL] [Abstract][Full Text] [Related]
11. Global localization of 3D anatomical structures by pre-filtered Hough forests and discrete optimization.
Donner R; Menze BH; Bischof H; Langs G
Med Image Anal; 2013 Dec; 17(8):1304-14. PubMed ID: 23664450
[TBL] [Abstract][Full Text] [Related]
12. Automatic delineation of the myocardial wall from CT images via shape segmentation and variational region growing.
Zhu L; Gao Y; Appia V; Yezzi A; Arepalli C; Faber T; Stillman A; Tannenbaum A
IEEE Trans Biomed Eng; 2013 Oct; 60(10):2887-95. PubMed ID: 23744658
[TBL] [Abstract][Full Text] [Related]
13. Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
Gottlich HC; Gregory AV; Sharma V; Khanna A; Moustafa AU; Lohse CM; Potretzke TA; Korfiatis P; Potretzke AM; Denic A; Rule AD; Takahashi N; Erickson BJ; Leibovich BC; Kline TL
J Digit Imaging; 2023 Aug; 36(4):1770-1781. PubMed ID: 36932251
[TBL] [Abstract][Full Text] [Related]
14. Tumorous kidney segmentation in abdominal CT images using active contour and 3D-UNet.
Pandey M; Gupta A
Ir J Med Sci; 2023 Jun; 192(3):1401-1409. PubMed ID: 35930139
[TBL] [Abstract][Full Text] [Related]
15. Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images.
Li D; Xiao C; Liu Y; Chen Z; Hassan H; Su L; Liu J; Li H; Xie W; Zhong W; Huang B
Diagnostics (Basel); 2022 Jul; 12(8):. PubMed ID: 35892498
[TBL] [Abstract][Full Text] [Related]
16. Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.
Gai T; Thai T; Jones M; Jo J; Zheng B
J Xray Sci Technol; 2022; 30(2):377-388. PubMed ID: 35095015
[TBL] [Abstract][Full Text] [Related]
17. Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm.
Li C; Liao C; Meng X; Chen H; Chen W; Wei B; Zhu P
Patient Prefer Adherence; 2021; 15():691-703. PubMed ID: 33854303
[TBL] [Abstract][Full Text] [Related]
18. A new method for quantitative assessment of hand muscle volume and fat in magnetic resonance images.
Friedberger A; Figueiredo C; Bäuerle T; Schett G; Engelke K
BMC Rheumatol; 2020 Dec; 4(1):72. PubMed ID: 33349274
[TBL] [Abstract][Full Text] [Related]
19. Quantification of hand muscle volume and composition in patients with rheumatoid arthritis, psoriatic arthritis and psoriasis.
Friedberger A; Figueiredo C; Grimm A; d'Oliveira I; Bäuerle T; Rech J; Kleyer A; Simon D; Uder M; Schett G; Engelke K
BMC Musculoskelet Disord; 2020 Apr; 21(1):203. PubMed ID: 32241261
[TBL] [Abstract][Full Text] [Related]
20. Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
Zhang J; Liu M; Wang L; Chen S; Yuan P; Li J; Shen SG; Tang Z; Chen KC; Xia JJ; Shen D
Med Image Anal; 2020 Feb; 60():101621. PubMed ID: 31816592
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]