Medical Imaging Papers

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IEEE Transactions on Medical Imaging | IEEE Xplore

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42

IEEE Transactions on Medical Imaging. The articles in this journal are peer reviewed in accordance with the requirements set forth in the . IEEE websites place cookies on your …

Home - IEEE Transactions on Medical …

https://www.embs.org/tmi/

Since his appointment, Prof Frangi has overseen nearly 340 submissions in our journal and was guest editor of several special issues: Three-dimensional Cardiovascular Image …

Medical Imaging 2022: Image Processing| Publications

https://spie.org/Publications/Proceedings/Volume/12032

Motion correction in retinal optical coherence tomography imaging using deep learning registration Author (s): Konstantinos Ntatsis ; Luisa Sánchez Brea; Danilo …

MEDIA | Medical Image Analysis | Journal - ScienceDirect

https://www.sciencedirect.com/journal/medical-image-analysis

Special issues and article collections Medical Imaging with Deep Learning 2021 Edited by Mattias Heinrich, Marleen de Bruijne, Qi Dou, Jan Lellmann 13 December 2022 Special …

GANs for Medical Image Synthesis: An Empirical Study

https://arxiv.org/abs/2105.05318

In this paper, we perform a multi-GAN and multi-application study to gauge the benefits of GANs in medical imaging. We tested various GAN architectures from …

Research in Medical Imaging Using Image …

https://www.researchgate.net/publication/334201999_Research_in_Medical_Imaging_Using_Image_Processing_Techniques

Medical imaging is developing rapidly due to developments in image processing techniques including image recognition, analysis, and enhancement. Image …

(PDF) Medical Imaging: A Review

https://www.researchgate.net/publication/227172822_Medical_Imaging_A_Review

This paper is a tutorial review of the medical image processing and repository techniques appeared in the literature. Keywordsbio-instruments-tomography-magnetic...

Fair Conformal Predictors for Applications in Medical …

https://aaai.org/papers/12008-fair-conformal-predictors-for-applications-in-medical-imaging/

In this paper, we conduct field interviews with radiologists to assess possible use-cases for conformal predictors. Using insights gathered from these interviews, we devise two …

How I failed machine learning in medical imaging - arXiv …

https://www.arxiv-vanity.com/papers/2103.10292/

Medical imaging is an important research field with many opportunities for improving patients’ health. However, there are a number of challenges that are slowing down the …

Medical Image Generation | Papers With Code

https://paperswithcode.com/task/medical-image-generation

In this paper, we propose the PnPAdaNet (plug-and-play adversarial domain adaptation network) for adapting segmentation networks between different modalities of …

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