114 related articles for article (PubMed ID: 38810392)
1. Abdominal multi-organ segmentation in Multi-sequence MRIs based on visual attention guided network and knowledge distillation.
Fu H; Zhang J; Li B; Chen L; Zou J; Zhang Z; Zou H
Phys Med; 2024 Jun; 122():103385. PubMed ID: 38810392
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.
Wang J; Zhao H; Liang W; Wang S; Zhang Y
Phys Med Biol; 2023 Jan; 68(3):. PubMed ID: 36623323
[No Abstract] [Full Text] [Related]
6. Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network.
Tong N; Xu Y; Zhang J; Gou S; Li M
Phys Med; 2023 Jun; 110():102595. PubMed ID: 37178624
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI images.
Zhao X; Huang M; Li L; Qi XS; Tan S
Phys Med Biol; 2020 Aug; 65(16):165013. PubMed ID: 32428898
[TBL] [Abstract][Full Text] [Related]
9. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
[TBL] [Abstract][Full Text] [Related]
10. Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
Zhao Q; Zhong L; Xiao J; Zhang J; Chen Y; Liao W; Zhang S; Wang G
IEEE Trans Med Imaging; 2023 Sep; 42(9):2513-2523. PubMed ID: 37030798
[TBL] [Abstract][Full Text] [Related]
11. Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs.
Amjad A; Xu J; Thill D; Zhang Y; Ding J; Paulson E; Hall W; Erickson BA; Li XA
Front Oncol; 2023; 13():1209558. PubMed ID: 37483486
[TBL] [Abstract][Full Text] [Related]
12. Generative multi-adversarial network for striking the right balance in abdominal image segmentation.
Rezaei M; Näppi JJ; Lippert C; Meinel C; Yoshida H
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1847-1858. PubMed ID: 32897490
[TBL] [Abstract][Full Text] [Related]
13. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
[TBL] [Abstract][Full Text] [Related]
14. Attentional adversarial training for few-shot medical image segmentation without annotations.
Awudong B; Li Q; Liang Z; Tian L; Yan J
PLoS One; 2024; 19(5):e0298227. PubMed ID: 38696503
[TBL] [Abstract][Full Text] [Related]
15. Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation.
Jiang J; Hu YC; Tyagi N; Wang C; Lee N; Deasy JO; Sean B; Veeraraghavan H
Phys Med Biol; 2020 Oct; 65(20):205001. PubMed ID: 33027063
[TBL] [Abstract][Full Text] [Related]
16. CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.
Kavur AE; Gezer NS; Barış M; Aslan S; Conze PH; Groza V; Pham DD; Chatterjee S; Ernst P; Özkan S; Baydar B; Lachinov D; Han S; Pauli J; Isensee F; Perkonigg M; Sathish R; Rajan R; Sheet D; Dovletov G; Speck O; Nürnberger A; Maier-Hein KH; Bozdağı Akar G; Ünal G; Dicle O; Selver MA
Med Image Anal; 2021 Apr; 69():101950. PubMed ID: 33421920
[TBL] [Abstract][Full Text] [Related]
17. Unpaired Multi-Modal Segmentation via Knowledge Distillation.
Dou Q; Liu Q; Heng PA; Glocker B
IEEE Trans Med Imaging; 2020 Jul; 39(7):2415-2425. PubMed ID: 32012001
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks.
Conze PH; Kavur AE; Cornec-Le Gall E; Gezer NS; Le Meur Y; Selver MA; Rousseau F
Artif Intell Med; 2021 Jul; 117():102109. PubMed ID: 34127239
[TBL] [Abstract][Full Text] [Related]
20. Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
Jiang J; Riyahi Alam S; Chen I; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
Med Phys; 2021 Jul; 48(7):3702-3713. PubMed ID: 33905558
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
