1605 related articles for article (PubMed ID: 32109685)
1. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation of intra-cochlear anatomy in post-implantation CT of unilateral cochlear implant recipients.
Reda FA; McRackan TR; Labadie RF; Dawant BM; Noble JH
Med Image Anal; 2014 Apr; 18(3):605-15. PubMed ID: 24650801
[TBL] [Abstract][Full Text] [Related]
3. Automatic Cochlear Duct Length Estimation for Selection of Cochlear Implant Electrode Arrays.
Rivas A; Cakir A; Hunter JB; Labadie RF; Zuniga MG; Wanna GB; Dawant BM; Noble JH
Otol Neurotol; 2017 Mar; 38(3):339-346. PubMed ID: 28146009
[TBL] [Abstract][Full Text] [Related]
4. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
5. Application of UNETR for automatic cochlear segmentation in temporal bone CTs.
Li Z; Zhou L; Tan S; Tang A
Auris Nasus Larynx; 2023 Apr; 50(2):212-217. PubMed ID: 35970625
[TBL] [Abstract][Full Text] [Related]
6. Automatic multi-label temporal bone computed tomography segmentation with deep learning.
Zhou L; Li Z
Int J Med Robot; 2023 Oct; 19(5):e2536. PubMed ID: 37203865
[TBL] [Abstract][Full Text] [Related]
7. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
8. Automatic segmentation of the facial nerve and chorda tympani in pediatric CT scans.
Reda FA; Noble JH; Rivas A; McRackan TR; Labadie RF; Dawant BM
Med Phys; 2011 Oct; 38(10):5590-600. PubMed ID: 21992377
[TBL] [Abstract][Full Text] [Related]
9. Fully Automated Measurement of Cochlear Duct Length From Clinical Temporal Bone Computed Tomography.
Neves CA; Tran ED; Cooperman SP; Blevins NH
Laryngoscope; 2022 Feb; 132(2):449-458. PubMed ID: 34536238
[TBL] [Abstract][Full Text] [Related]
10. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
[TBL] [Abstract][Full Text] [Related]
11. PWD-3DNet: A Deep Learning-Based Fully-Automated Segmentation of Multiple Structures on Temporal Bone CT Scans.
Nikan S; Van Osch K; Bartling M; Allen DG; Rohani SA; Connors B; Agrawal SK; Ladak HM
IEEE Trans Image Process; 2021; 30():739-753. PubMed ID: 33226942
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
Men K; Dai J; Li Y
Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
[TBL] [Abstract][Full Text] [Related]
14. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
15. Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation.
Tian Y; Xue F; Lambo R; He J; An C; Xie Y; Cao H; Qin W
Comput Methods Programs Biomed; 2021 Mar; 200():105818. PubMed ID: 33218708
[TBL] [Abstract][Full Text] [Related]
16. [Study on the accuracy of automatic segmentation of knee CT images based on deep learning].
Song P; Fan Z; Zhi X; Cao Z; Min S; Liu X; Zhang Y; Kong X; Chai W
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2022 May; 36(5):534-539. PubMed ID: 35570625
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network.
Shen G; Jin X; Sun C; Li Q
Front Public Health; 2022; 10():813135. PubMed ID: 35493368
[TBL] [Abstract][Full Text] [Related]
18. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
[TBL] [Abstract][Full Text] [Related]
19. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
Zhou X
Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
[TBL] [Abstract][Full Text] [Related]
20. Male pelvic multi-organ segmentation using token-based transformer Vnet.
Pan S; Lei Y; Wang T; Wynne J; Chang CW; Roper J; Jani AB; Patel P; Bradley JD; Liu T; Yang X
Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36170872
[No Abstract] [Full Text] [Related]
[Next] [New Search]