241 related articles for article (PubMed ID: 35997927)
1. Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net.
Khorasani A; Kafieh R; Saboori M; Tavakoli MB
Phys Eng Sci Med; 2022 Sep; 45(3):925-934. PubMed ID: 35997927
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric study for glioma grading with FLAIR, ADC map, eADC map, T1 map, and SWI images.
Khorasani A; Tavakoli MB
Magn Reson Imaging; 2023 Feb; 96():93-101. PubMed ID: 36473544
[TBL] [Abstract][Full Text] [Related]
3. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
[TBL] [Abstract][Full Text] [Related]
4. Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms.
Woo I; Lee A; Jung SC; Lee H; Kim N; Cho SJ; Kim D; Lee J; Sunwoo L; Kang DW
Korean J Radiol; 2019 Aug; 20(8):1275-1284. PubMed ID: 31339015
[TBL] [Abstract][Full Text] [Related]
5. Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading.
Khorasani A; Tavakoli MB; Saboori M; Jalilian M
Eur J Radiol Open; 2021; 8():100378. PubMed ID: 34632000
[TBL] [Abstract][Full Text] [Related]
6. Quantifying U-Net uncertainty in multi-parametric MRI-based glioma segmentation by spherical image projection.
Yang Z; Lafata K; Vaios E; Hu Z; Mullikin T; Yin FF; Wang C
Med Phys; 2024 Mar; 51(3):1931-1943. PubMed ID: 37696029
[TBL] [Abstract][Full Text] [Related]
7. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
[TBL] [Abstract][Full Text] [Related]
8. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
[TBL] [Abstract][Full Text] [Related]
9. Magnetic Resonance Assessment of Peritoneal Carcinomatosis: Is There a True Benefit From Diffusion-Weighted Imaging?
Cianci R; Delli Pizzi A; Patriarca G; Massari R; Basilico R; Gabrielli D; Filippone A
Curr Probl Diagn Radiol; 2020; 49(6):392-397. PubMed ID: 31248709
[TBL] [Abstract][Full Text] [Related]
10. Prostate cancer: comparison of tumor visibility on trace diffusion-weighted images and the apparent diffusion coefficient map.
Rosenkrantz AB; Kong X; Niver BE; Berkman DS; Melamed J; Babb JS; Taneja SS
AJR Am J Roentgenol; 2011 Jan; 196(1):123-9. PubMed ID: 21178056
[TBL] [Abstract][Full Text] [Related]
11. Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-Nets.
Zabihollahy F; Schieda N; Krishna Jeyaraj S; Ukwatta E
Med Phys; 2019 Jul; 46(7):3078-3090. PubMed ID: 31002381
[TBL] [Abstract][Full Text] [Related]
12. Investigated diagnostic value of synthetic relaxometry, three-dimensional pseudo-continuous arterial spin labelling and diffusion-weighted imaging in the grading of glioma.
Ge X; Wang M; Ma H; Zhu K; Wei X; Li M; Zhai X; Shen Y; Huang X; Hou M; Liu W; Wang M; Wang X
Magn Reson Imaging; 2022 Feb; 86():20-27. PubMed ID: 34808303
[TBL] [Abstract][Full Text] [Related]
13. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of rectal tumor on diffusion-weighted images by deep learning with U-Net.
Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
J Appl Clin Med Phys; 2021 Sep; 22(9):324-331. PubMed ID: 34343402
[TBL] [Abstract][Full Text] [Related]
15. A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients.
Sun R; Wang K; Guo L; Yang C; Chen J; Ti Y; Sa Y
BMC Med Imaging; 2019 Jun; 19(1):48. PubMed ID: 31208349
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of Exponential ADC (eADC) and Computed DWI (cDWI) for the Detection of Prostate Cancer.
Sprinkart AM; Marx C; Träber F; Block W; Thomas D; Schild H; Kukuk GM; Mürtz P
Rofo; 2018 Aug; 190(8):758-766. PubMed ID: 30045400
[TBL] [Abstract][Full Text] [Related]
17. Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation.
Lee J; Choi SH; Kim JH; Sohn CH; Lee S; Jeong J
NMR Biomed; 2014 Sep; 27(9):1046-52. PubMed ID: 25042540
[TBL] [Abstract][Full Text] [Related]
18. The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net.
Li YH; Lin SC; Chung HW; Chang CC; Peng HH; Huang TY; Shen WC; Tsai CH; Lo YC; Lee TY; Juan CH; Juan CE; Chang HC; Liu YJ; Juan CJ
Eur Radiol; 2023 Sep; 33(9):6157-6167. PubMed ID: 37095361
[TBL] [Abstract][Full Text] [Related]
19. A whole-body diffusion MRI normal atlas: development, evaluation and initial use.
Sjöholm T; Tarai S; Malmberg F; Strand R; Korenyushkin A; Enblad G; Ahlström H; Kullberg J
Cancer Imaging; 2023 Sep; 23(1):87. PubMed ID: 37710346
[TBL] [Abstract][Full Text] [Related]
20. MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts.
Knuth F; Adde IA; Huynh BN; Groendahl AR; Winter RM; Negård A; Holmedal SH; Meltzer S; Ree AH; Flatmark K; Dueland S; Hole KH; Seierstad T; Redalen KR; Futsaether CM
Acta Oncol; 2022 Feb; 61(2):255-263. PubMed ID: 34918621
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
