157 related articles for article (PubMed ID: 33564753)
1. A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.
Chen L; Wu Z; Hu D; Wang Y; Mo Z; Wang L; Lin W; Shen D; Li G;
Med Image Comput Comput Assist Interv; 2020 Oct; 12267():646-656. PubMed ID: 33564753
[TBL] [Abstract][Full Text] [Related]
2. An attention-based context-informed deep framework for infant brain subcortical segmentation.
Chen L; Wu Z; Zhao F; Wang Y; Lin W; Wang L; Li G
Neuroimage; 2023 Apr; 269():119931. PubMed ID: 36746299
[TBL] [Abstract][Full Text] [Related]
3. A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy
Jalalifar A; Soliman H; Sahgal A; Sadeghi-Naini A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1063-1066. PubMed ID: 33018169
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
Sun L; Shao W; Zhang D; Liu M
IEEE Trans Med Imaging; 2020 Jun; 39(6):2000-2012. PubMed ID: 31899417
[TBL] [Abstract][Full Text] [Related]
6. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
7. MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images.
Zhang Y; Wu J; Liu Y; Chen Y; Wu EX; Tang X
IEEE J Biomed Health Inform; 2021 Feb; 25(2):526-535. PubMed ID: 32750908
[TBL] [Abstract][Full Text] [Related]
8. Dense-UNet: a novel multiphoton
Cai S; Tian Y; Lui H; Zeng H; Wu Y; Chen G
Quant Imaging Med Surg; 2020 Jun; 10(6):1275-1285. PubMed ID: 32550136
[TBL] [Abstract][Full Text] [Related]
9. Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.
Zeng Q; Fu Y; Tian Z; Lei Y; Zhang Y; Wang T; Mao H; Liu T; Curran WJ; Jani AB; Patel P; Yang X
Phys Med Biol; 2020 Jun; 65(13):135002. PubMed ID: 32330922
[TBL] [Abstract][Full Text] [Related]
10. An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.
Kn BP; Cs A; Mohammed A; Chitta KK; To XV; Srour H; Nasrallah F
Med Biol Eng Comput; 2023 Mar; 61(3):847-865. PubMed ID: 36624356
[TBL] [Abstract][Full Text] [Related]
11. Brain Tumor Segmentation From Multi-Modal MR Images via Ensembling UNets.
Zhang Y; Zhong P; Jie D; Wu J; Zeng S; Chu J; Liu Y; Wu EX; Tang X
Front Radiol; 2021; 1():704888. PubMed ID: 37492172
[TBL] [Abstract][Full Text] [Related]
12. LINKS: learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
Wang L; Gao Y; Shi F; Li G; Gilmore JH; Lin W; Shen D
Neuroimage; 2015 Mar; 108():160-72. PubMed ID: 25541188
[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. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
[TBL] [Abstract][Full Text] [Related]
15. BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation.
Jia Q; Shu H
Brainlesion; 2021 Sep; 2021():3-14. PubMed ID: 36005929
[TBL] [Abstract][Full Text] [Related]
16. High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.
Hamghalam M; Wang T; Lei B
Neural Netw; 2020 Dec; 132():43-52. PubMed ID: 32861913
[TBL] [Abstract][Full Text] [Related]
17. Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.
Hu P; Wu F; Peng J; Bao Y; Chen F; Kong D
Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):399-411. PubMed ID: 27885540
[TBL] [Abstract][Full Text] [Related]
18. EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images.
Pham VT; Tran TT; Wang PC; Chen PY; Lo MT
Artif Intell Med; 2021 May; 115():102065. PubMed ID: 34001323
[TBL] [Abstract][Full Text] [Related]
19. RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images.
Zhao T; Fu C; Tie M; Sham CW; Ma H
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627842
[TBL] [Abstract][Full Text] [Related]
20. MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images.
Qi W; Wu HC; Chan SC
IEEE Trans Image Process; 2023; 32():4842-4855. PubMed ID: 37639409
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
