These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
223 related articles for article (PubMed ID: 33621350)
1. Three-dimensional multipath DenseNet for improving automatic segmentation of glioblastoma on pre-operative multimodal MR images. Fu J; Singhrao K; Qi XS; Yang Y; Ruan D; Lewis JH Med Phys; 2021 Jun; 48(6):2859-2866. PubMed ID: 33621350 [TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation of high-risk clinical target volume for tandem-and-ovoids brachytherapy patients using an asymmetric dual-path convolutional neural network. Cao Y; Vassantachart A; Ragab O; Bian S; Mitra P; Xu Z; Gallogly AZ; Cui J; Shen ZL; Balik S; Gribble M; Chang EL; Fan Z; Yang W Med Phys; 2022 Mar; 49(3):1712-1722. PubMed ID: 35080018 [TBL] [Abstract][Full Text] [Related]
3. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI. Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262 [TBL] [Abstract][Full Text] [Related]
4. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images. Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468 [TBL] [Abstract][Full Text] [Related]
5. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach. Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622 [TBL] [Abstract][Full Text] [Related]
6. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images. Tong N; Gou S; Yang S; Cao M; Sheng K Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188 [TBL] [Abstract][Full Text] [Related]
7. Fully automatic brain tumor segmentation for 3D evaluation in augmented reality. Fick T; van Doormaal JAM; Tosic L; van Zoest RJ; Meulstee JW; Hoving EW; van Doormaal TPC Neurosurg Focus; 2021 Aug; 51(2):E14. PubMed ID: 34333477 [TBL] [Abstract][Full Text] [Related]
8. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images. Zabihollahy F; White JA; Ukwatta E Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937 [TBL] [Abstract][Full Text] [Related]
9. Deep learning automatic semantic segmentation of glioblastoma multiforme regions on multimodal magnetic resonance images. Beser-Robles M; Castellá-Malonda J; Martínez-Gironés PM; Galiana-Bordera A; Ferrer-Lozano J; Ribas-Despuig G; Teruel-Coll R; Cerdá-Alberich L; Martí-Bonmatí L Int J Comput Assist Radiol Surg; 2024 Sep; 19(9):1743-1751. PubMed ID: 38849632 [TBL] [Abstract][Full Text] [Related]
10. Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse. Feng F; Ashton-Miller JA; DeLancey JOL; Luo J Med Phys; 2020 Sep; 47(9):4281-4293. PubMed ID: 32638370 [TBL] [Abstract][Full Text] [Related]
11. Geometric and Dosimetric Evaluation of the Automatic Delineation of Organs at Risk (OARs) in Non-Small-Cell Lung Cancer Radiotherapy Based on a Modified DenseNet Deep Learning Network. Zhang F; Wang Q; Yang A; Lu N; Jiang H; Chen D; Yu Y; Wang Y Front Oncol; 2022; 12():861857. PubMed ID: 35371991 [TBL] [Abstract][Full Text] [Related]
12. Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images. Tong N; Gou S; Niu T; Yang S; Sheng K Phys Med Biol; 2020 Jul; 65(13):135011. PubMed ID: 32657281 [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. An Automatic Deep Learning-Based Workflow for Glioblastoma Survival Prediction Using Preoperative Multimodal MR Images: A Feasibility Study. Fu J; Singhrao K; Zhong X; Gao Y; Qi SX; Yang Y; Ruan D; Lewis JH Adv Radiat Oncol; 2021; 6(5):100746. PubMed ID: 34458648 [TBL] [Abstract][Full Text] [Related]
15. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging. Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets. Fashandi H; Kuling G; Lu Y; Wu H; Martel AL Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062 [TBL] [Abstract][Full Text] [Related]
18. A multiple-channel and atrous convolution network for ultrasound image segmentation. Zhang L; Zhang J; Li Z; Song Y Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105 [TBL] [Abstract][Full Text] [Related]
19. Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: a preliminary investigation in terms of identification and segmentation. Assefa D; Keller H; Ménard C; Laperriere N; Ferrari RJ; Yeung I Med Phys; 2010 Apr; 37(4):1722-36. PubMed ID: 20443493 [TBL] [Abstract][Full Text] [Related]
20. Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network. Soomro MH; Coppotelli M; Conforto S; Schmid M; Giunta G; Del Secco L; Neri E; Caruso D; Rengo M; Laghi A J Healthc Eng; 2019; 2019():1075434. PubMed ID: 30838121 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]