Machine learning in PET: from photon detection to quantitative image reconstruction
Machine learning has found unique applications in nuclear medicine from photon detection
to quantitative image reconstruction. Although there have been impressive strides in …
to quantitative image reconstruction. Although there have been impressive strides in …
DUG-RECON: a framework for direct image reconstruction using convolutional generative networks
VSS Kandarpa, A Bousse, D Benoit… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article explores convolutional generative networks as an alternative to iterative
reconstruction algorithms in medical image reconstruction. The task of medical image …
reconstruction algorithms in medical image reconstruction. The task of medical image …
Model-data-driven image reconstruction with neural networks for ultrasound computed tomography breast imaging
With the goal of developing an accurate and fast image reconstruction algorithm for
ultrasound computed tomography, we combine elements of model-and data-driven …
ultrasound computed tomography, we combine elements of model-and data-driven …
A symmetric encoder-decoder with residual block for infrared and visible image fusion
In computer vision and image processing tasks, image fusion has evolved into an attractive
research field. However, recent existing image fusion methods are mostly built on pixel-level …
research field. However, recent existing image fusion methods are mostly built on pixel-level …
Tomographic image reconstruction with direct neural network approaches
VSS Kandarpa - 2022 - theses.hal.science
Neural Networks are extensively used in the field of medical imaging for biomedical image
segmentation, cancer diagnosis, image analysis, etc. The advancements in computation …
segmentation, cancer diagnosis, image analysis, etc. The advancements in computation …