145 related articles for article (PubMed ID: 37302375)
1. Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Buddenkotte T; Escudero Sanchez L; Crispin-Ortuzar M; Woitek R; McCague C; Brenton JD; Öktem O; Sala E; Rundo L
Comput Biol Med; 2023 Sep; 163():107096. PubMed ID: 37302375
[TBL] [Abstract][Full Text] [Related]
2. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
Abdar M; Samami M; Dehghani Mahmoodabad S; Doan T; Mazoure B; Hashemifesharaki R; Liu L; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S
Comput Biol Med; 2021 Aug; 135():104418. PubMed ID: 34052016
[TBL] [Abstract][Full Text] [Related]
3. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
4. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
5. Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.
Carneiro G; Zorron Cheng Tao Pu L; Singh R; Burt A
Med Image Anal; 2020 May; 62():101653. PubMed ID: 32172037
[TBL] [Abstract][Full Text] [Related]
6. Quantifying U-Net uncertainty in multi-parametric MRI-based glioma segmentation by spherical image projection.
Yang Z; Lafata K; Vaios E; Hu Z; Mullikin T; Yin FF; Wang C
Med Phys; 2024 Mar; 51(3):1931-1943. PubMed ID: 37696029
[TBL] [Abstract][Full Text] [Related]
7. Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.
Tanno R; Worrall DE; Kaden E; Ghosh A; Grussu F; Bizzi A; Sotiropoulos SN; Criminisi A; Alexander DC
Neuroimage; 2021 Jan; 225():117366. PubMed ID: 33039617
[TBL] [Abstract][Full Text] [Related]
8. Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images.
Kuang Z; Yan Z; Yu L; Deng X; Hua Y; Li S
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2615-2626. PubMed ID: 34986106
[TBL] [Abstract][Full Text] [Related]
9. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.
Zi-An Z; Xiu-Fang F; Xiao-Qiang R; Yun-Yun D
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988756
[No Abstract] [Full Text] [Related]
10. Mutual consistency learning for semi-supervised medical image segmentation.
Wu Y; Ge Z; Zhang D; Xu M; Zhang L; Xia Y; Cai J
Med Image Anal; 2022 Oct; 81():102530. PubMed ID: 35839737
[TBL] [Abstract][Full Text] [Related]
11. Sparse annotation learning for dense volumetric MR image segmentation with uncertainty estimation.
Osman YBM; Li C; Huang W; Wang S
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38035374
[No Abstract] [Full Text] [Related]
12. HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.
Li X; Xia M; Jiao J; Zhou S; Chang C; Wang Y; Guo Y
Med Image Anal; 2023 Aug; 88():102862. PubMed ID: 37295312
[TBL] [Abstract][Full Text] [Related]
13. Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case.
Sahlsten J; Jaskari J; Wahid KA; Ahmed S; Glerean E; He R; Kann BH; Mäkitie A; Fuller CD; Naser MA; Kaski K
medRxiv; 2023 Feb; ():. PubMed ID: 36865296
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
Song Y; Ren S; Lu Y; Fu X; Wong KKL
Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
[TBL] [Abstract][Full Text] [Related]
15. ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.
Rączkowska A; Możejko M; Zambonelli J; Szczurek E
Sci Rep; 2019 Oct; 9(1):14347. PubMed ID: 31586139
[TBL] [Abstract][Full Text] [Related]
16. Multi-task contrastive learning for semi-supervised medical image segmentation with multi-scale uncertainty estimation.
Xing C; Dong H; Xi H; Ma J; Zhu J
Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37586383
[No Abstract] [Full Text] [Related]
17. Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
Mehrtash A; Wells WM; Tempany CM; Abolmaesumi P; Kapur T
IEEE Trans Med Imaging; 2020 Dec; 39(12):3868-3878. PubMed ID: 32746129
[TBL] [Abstract][Full Text] [Related]
18. Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization.
Pyle RJ; Hughes RR; Ali AAS; Wilcox PD
IEEE Trans Ultrason Ferroelectr Freq Control; 2022 Jul; 69(7):2339-2351. PubMed ID: 35604965
[TBL] [Abstract][Full Text] [Related]
19. Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation.
Chen J; Fu C; Xie H; Zheng X; Geng R; Sham CW
Comput Biol Med; 2022 Oct; 149():106034. PubMed ID: 36058068
[TBL] [Abstract][Full Text] [Related]
20. Evidence-based uncertainty-aware semi-supervised medical image segmentation.
Chen Y; Yang Z; Shen C; Wang Z; Zhang Z; Qin Y; Wei X; Lu J; Liu Y; Zhang Y
Comput Biol Med; 2024 Mar; 170():108004. PubMed ID: 38277924
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
