Self supervised low dose computed tomography image denoising using invertible network exploiting inter slice congruence

S Bera, PK Biswas - Proceedings of the IEEE/CVF winter …, 2023 - openaccess.thecvf.com
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …
被引用次数：8 相关文章
[PDF] researchgate.net

[PDF][PDF] Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

S Bera, PK Biswas - researchgate.net
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

S Bera, PK Biswas - 2023 IEEE/CVF Winter Conference on …, 2023 - ieeexplore.ieee.org
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

S Bera, PK Biswas - 2023 IEEE/CVF Winter Conference on …, 2023 - computer.org
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

S Bera, PK Biswas - arXiv preprint arXiv:2211.01618, 2022 - arxiv.org
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

S Bera, PK Biswas - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …