132 related articles for article (PubMed ID: 37584850)
1. Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.
Cangalovic VS; Thielke F; Meine H
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):253-260. PubMed ID: 37584850
[TBL] [Abstract][Full Text] [Related]
2. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.
Nomura Y; Tanaka S; Wang J; Shirato H; Shimizu S; Xing L
Phys Med Biol; 2021 Mar; 66(6):065029. PubMed ID: 33626513
[TBL] [Abstract][Full Text] [Related]
3. Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
Kannan A; Hodgson A; Mulpuri K; Garbi R
Int J Comput Assist Radiol Surg; 2021 Jul; 16(7):1121-1129. PubMed ID: 33966168
[TBL] [Abstract][Full Text] [Related]
4. Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
Ng M; Guo F; Biswas L; Petersen SE; Piechnik SK; Neubauer S; Wright G
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1955-1966. PubMed ID: 37015623
[TBL] [Abstract][Full Text] [Related]
5. Direct quantification of epistemic and aleatoric uncertainty in 3D U-net segmentation.
Jones CK; Wang G; Yedavalli V; Sair H
J Med Imaging (Bellingham); 2022 May; 9(3):034002. PubMed ID: 35692283
[No Abstract] [Full Text] [Related]
6. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Wang G; Li W; Aertsen M; Deprest J; Ourselin S; Vercauteren T
Neurocomputing (Amst); 2019 Sep; 335():34-45. PubMed ID: 31595105
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.
Gudhe NR; Kosma VM; Behravan H; Mannermaa A
BMC Med Imaging; 2023 Oct; 23(1):162. PubMed ID: 37858043
[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. Unified Bayesian network for uncertainty quantification of physiological parameters in dynamic contrast enhanced (DCE) MRI of the liver.
Dejene EM; Brenner W; Makowski MR; Kolbitsch C
Phys Med Biol; 2023 Nov; 68(21):. PubMed ID: 37820640
[No Abstract] [Full Text] [Related]
11. Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty.
Dohopolski M; Chen L; Sher D; Wang J
Phys Med Biol; 2020 Nov; 65(22):225002. PubMed ID: 33179605
[TBL] [Abstract][Full Text] [Related]
12. Applications of Bayesian Neural Networks in Outlier Detection.
Tao C
Big Data; 2023 Oct; 11(5):369-386. PubMed ID: 36706252
[TBL] [Abstract][Full Text] [Related]
13. Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set.
Küstner T; Hammernik K; Rueckert D; Hepp T; Gatidis S
Magn Reson Med; 2024 Jul; 92(1):289-302. PubMed ID: 38282254
[TBL] [Abstract][Full Text] [Related]
14. Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling.
Hiasa Y; Otake Y; Takao M; Ogawa T; Sugano N; Sato Y
IEEE Trans Med Imaging; 2020 Apr; 39(4):1030-1040. PubMed ID: 31514128
[TBL] [Abstract][Full Text] [Related]
15. Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference.
Heringhaus ME; Zhang Y; Zimmermann A; Mikelsons L
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35891087
[TBL] [Abstract][Full Text] [Related]
16. Towards subpercentage uncertainty proton stopping-power mapping via dual-energy CT: Direct experimental validation and uncertainty analysis of a statistical iterative image reconstruction method.
Medrano M; Liu R; Zhao T; Webb T; Politte DG; Whiting BR; Liao R; Ge T; Porras-Chaverri MA; O'Sullivan JA; Williamson JF
Med Phys; 2022 Mar; 49(3):1599-1618. PubMed ID: 35029302
[TBL] [Abstract][Full Text] [Related]
17. Data-efficient Bayesian learning for radial dynamic MR reconstruction.
Brahma S; Kolbitsch C; Martin J; Schaeffter T; Kofler A
Med Phys; 2023 Nov; 50(11):6955-6977. PubMed ID: 37367947
[TBL] [Abstract][Full Text] [Related]
18. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
19. Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images.
Song B; Li S; Sunny S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Peterson T; Gurudath S; Raghavan S; Tsusennaro I; Leivon S; Kolur T; Shetty V; Bushan V; Ramesh R; Pillai V; Wilder-Smith P; Suresh A; Kuriakose MA; Birur P; Liang R
J Biomed Opt; 2022 Nov; 27(11):. PubMed ID: 36329004
[TBL] [Abstract][Full Text] [Related]
20. Can uncertainty estimation predict segmentation performance in ultrasound bone imaging?
Pandey PU; Guy P; Hodgson AJ
Int J Comput Assist Radiol Surg; 2022 May; 17(5):825-832. PubMed ID: 35377036
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
