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Bayesian networks in healthcare: Distribution by medical …
- https://www.sciencedirect.com/science/article/pii/S0933365720300774
- Bayesian Networks (BNs) have received increasing attention during the last two decades [1, 2] for their particular ability to be applied to challenging issues and aid …
Bayesian Fully Convolutional Networks for Brain Image …
- https://www.hindawi.com/journals/jhe/2021/5528160/
- The Bayesian neural network is a statistical model derived from the perspective of probability. The parameters in the model are initialized by an a priori …
Lowering the computational barrier: Partially Bayesian …
- https://www.frontiersin.org/articles/10.3389/fcomp.2023.1071174/full
- Keywords: medical decision-making, Bayesian uncertainty, Responsible AI, transparency, tumor segmentation. Citation: Prabhudesai S, Hauth J, Guo D, Rao A, Banovic N and …
PAC Bayesian Performance Guarantees for Deep …
- https://pubmed.ncbi.nlm.nih.gov/34957473/
- In this work, we explore recent advances using the PAC-Bayesian framework to provide bounds on generalization error for large (stochastic) networks. While previous efforts …
PAC Bayesian Performance Guarantees for Deep …
- https://link.springer.com/chapter/10.1007/978-3-030-87199-4_53
- In medical imaging, however, sample sizes are often small and stakes are often high. Thus, mathematical guarantees Footnote 1 on the performance of our …
Bayesian Neural Networks for Uncertainty Estimation of …
- https://link.springer.com/chapter/10.1007/978-3-030-59861-7_28
- We have evaluated four Bayesian neural networks with the best results for MC dropout and the probabilistic model, each one in combination with IoU as confidence …
(PDF) Bayesian Neural Networks for …
- https://www.researchgate.net/publication/343986599_Bayesian_Neural_Networks_for_Uncertainty_Estimation_of_Imaging_Biomarkers
- (PDF) Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers Home Statistics Bayesian Bayesian Neural Networks for Uncertainty Estimation of Imaging …
Bayesian Neural Networks - Uncertainty …
- https://twitwi.github.io/Presentation-2021-04-21-deep-learning-medical-imaging/
- @: .denser ## References and pointers - Wikipedia articles - Bayesian Probabilities - Imprecise Probabilities - Dempster–Shafer Theory (DST) - Proper Scoring Rules (and …
PAC Bayesian Performance Guarantees for (Stochastic) …
- https://miccai2021.org/openaccess/paperlinks/2021/09/01/357-Paper2481.html
- The merit of this work is in introducing and exploring the use of PAC-Bayesian framework in medical imaging applications. This is a meaningful contribution, as the …
Bayesian belief networks for medical image recognition
- https://www.semanticscholar.org/paper/Bayesian-belief-networks-for-medical-image-Hwang-Lin/302f245394dd0b769b22c4551537f0dbe9f9d838
- Bayesian belief networks for medical image recognition Chien-Shung Hwang, Wei-Chung Lin, +1 author S. Chen Published in Electronic imaging 29 July 1993 …
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