200 related articles for article (PubMed ID: 33830924)
1. Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
Zhou T; Canu S; Vera P; Ruan S
IEEE Trans Image Process; 2021; 30():4263-4274. PubMed ID: 33830924
[TBL] [Abstract][Full Text] [Related]
2. Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation.
Diao Y; Li F; Li Z
Comput Biol Med; 2023 Sep; 163():107234. PubMed ID: 37450967
[TBL] [Abstract][Full Text] [Related]
3. A literature survey of MR-based brain tumor segmentation with missing modalities.
Zhou T; Ruan S; Hu H
Comput Med Imaging Graph; 2023 Mar; 104():102167. PubMed ID: 36584536
[TBL] [Abstract][Full Text] [Related]
4. A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
Choi Y; Al-Masni MA; Jung KJ; Yoo RE; Lee SY; Kim DH
Comput Methods Programs Biomed; 2023 Oct; 240():107644. PubMed ID: 37307766
[TBL] [Abstract][Full Text] [Related]
5. Multimodal MR Synthesis via Modality-Invariant Latent Representation.
Chartsias A; Joyce T; Giuffrida MV; Tsaftaris SA
IEEE Trans Med Imaging; 2018 Mar; 37(3):803-814. PubMed ID: 29053447
[TBL] [Abstract][Full Text] [Related]
6. Multimodal Transformer of Incomplete MRI Data for Brain Tumor Segmentation.
Ting H; Liu M
IEEE J Biomed Health Inform; 2023 Jun; PP():. PubMed ID: 37327094
[TBL] [Abstract][Full Text] [Related]
7. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
[TBL] [Abstract][Full Text] [Related]
8. Brain tumor segmentation from multimodal magnetic resonance images via sparse representation.
Li Y; Jia F; Qin J
Artif Intell Med; 2016 Oct; 73():1-13. PubMed ID: 27926377
[TBL] [Abstract][Full Text] [Related]
9. D
Yang Q; Guo X; Chen Z; Woo PYM; Yuan Y
IEEE Trans Med Imaging; 2022 Oct; 41(10):2953-2964. PubMed ID: 35576425
[TBL] [Abstract][Full Text] [Related]
10. AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2019 Feb; 32(1):105-115. PubMed ID: 30039425
[TBL] [Abstract][Full Text] [Related]
11. Learning Cross-Modality Representations From Multi-Modal Images.
van Tulder G; de Bruijne M
IEEE Trans Med Imaging; 2019 Feb; 38(2):638-648. PubMed ID: 30188817
[TBL] [Abstract][Full Text] [Related]
12. Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities.
Yang H; Sun J; Xu Z
IEEE Trans Med Imaging; 2023 Dec; 42(12):3678-3689. PubMed ID: 37540616
[TBL] [Abstract][Full Text] [Related]
13. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
14. Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.
Fang F; Yao Y; Zhou T; Xie G; Lu J
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5310-5320. PubMed ID: 34478389
[TBL] [Abstract][Full Text] [Related]
15. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
16. Extended Modality Propagation: Image Synthesis of Pathological Cases.
Cordier N; Delingette H; Le M; Ayache N
IEEE Trans Med Imaging; 2016 Dec; 35(12):2598-2608. PubMed ID: 27411217
[TBL] [Abstract][Full Text] [Related]
17. Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images.
Ranjbarzadeh R; Bagherian Kasgari A; Jafarzadeh Ghoushchi S; Anari S; Naseri M; Bendechache M
Sci Rep; 2021 May; 11(1):10930. PubMed ID: 34035406
[TBL] [Abstract][Full Text] [Related]
18. Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning.
Liu Z; Wei J; Li R; Zhou J
Comput Biol Med; 2023 Jun; 159():106927. PubMed ID: 37105113
[TBL] [Abstract][Full Text] [Related]
19. 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Li X; Dou Q; Chen H; Fu CW; Qi X; Belavý DL; Armbrecht G; Felsenberg D; Zheng G; Heng PA
Med Image Anal; 2018 Apr; 45():41-54. PubMed ID: 29414435
[TBL] [Abstract][Full Text] [Related]
20. Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels.
Soltaninejad M; Yang G; Lambrou T; Allinson N; Jones TL; Barrick TR; Howe FA; Ye X
Comput Methods Programs Biomed; 2018 Apr; 157():69-84. PubMed ID: 29477436
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]