The present and future of deep learning in radiology
Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …
Medical image processing on the GPU–Past, present and future
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …
because they can dramatically accelerate parallel computing, are affordable and energy …
Parallel convolutional processing using an integrated photonic tensor core
With the proliferation of ultrahigh-speed mobile networks and internet-connected devices,
along with the rise of artificial intelligence (AI), the world is generating exponentially …
along with the rise of artificial intelligence (AI), the world is generating exponentially …
[HTML][HTML] A framework for megascale agent based model simulations on graphics processing units
M Lysenko, RM D'Souza - Journal of Artificial Societies and Social …, 2008 - jasss.org
Agent-based modeling is a technique for modeling dynamic systems from the bottom up.
Individual elements of the system are represented computationally as agents. The system …
Individual elements of the system are represented computationally as agents. The system …
An efficient, model-based CPU-GPU heterogeneous FFT library
Y Ogata, T Endo, N Maruyama… - 2008 IEEE international …, 2008 - ieeexplore.ieee.org
General-Purpose computing on Graphics Processing Units (GPGPU) is becoming popular in
HPC because of its high peak performance. However, in spite of the potential performance …
HPC because of its high peak performance. However, in spite of the potential performance …
Robust obstacle detection and recognition for driver assistance systems
This paper proposes a robust obstacle detection and recognition method for driver
assistance systems. Unlike existing methods, our method aims to detect and recognize …
assistance systems. Unlike existing methods, our method aims to detect and recognize …
Contrast enhancement by nonlinear diffusion filtering
Z Liang, W Liu, R Yao - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
To enhance the visual quality of an image that is degraded by uneven light, an effective
method is to estimate the illumination component and compress it. Some previous methods …
method is to estimate the illumination component and compress it. Some previous methods …
Video coding on multicore graphics processors
In this article, we investigate using multi-core graphics processing units (GPUs) for video
encoding and decoding. After an overview of video coding and GPUs, we review some …
encoding and decoding. After an overview of video coding and GPUs, we review some …
[BOEK][B] Algorithms for efficient computation of convolution
Convolution is an important mathematical tool in both fields of signal and image processing.
It is employed in filtering [1, 2], denoising [3], edge detection [4, 5], correlation [6] …
It is employed in filtering [1, 2], denoising [3], edge detection [4, 5], correlation [6] …
A survey on curvilinear object segmentation in multiple applications
Curvilinear object segmentation is a paramount step for many applications ranging from
medical to aerial image processing. In particular, vessel segmentation in retinal images …
medical to aerial image processing. In particular, vessel segmentation in retinal images …