Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique
H Greenspan, B Van Ginneken… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The papers in this special section focus on the technology and applications supported by
deep learning. Deep learning is a growing trend in general data analysis and has been …
deep learning. Deep learning is a growing trend in general data analysis and has been …
Prospects and limitations of high-resolution single-particle cryo-electron microscopy
A Chari, H Stark - Annual Review of Biophysics, 2023 - annualreviews.org
Single particle cryo-electron microscopy (cryo-EM) has matured into a robust method for the
determination of biological macromolecule structures in the past decade, complementing X …
determination of biological macromolecule structures in the past decade, complementing X …
Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction
Wearable strain sensors that detect joint/muscle strain changes become prevalent at human–
machine interfaces for full-body motion monitoring. However, most wearable devices cannot …
machine interfaces for full-body motion monitoring. However, most wearable devices cannot …
Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2
By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM
structure determination is transforming structural biology. However, the necessary …
structure determination is transforming structural biology. However, the necessary …
Dynamo: a flexible, user-friendly development tool for subtomogram averaging of cryo-EM data in high-performance computing environments
Dynamo is a new software package for subtomogram averaging of cryo Electron
Tomography (cryo-ET) data with three main goals: first, Dynamo allows user-transparent …
Tomography (cryo-ET) data with three main goals: first, Dynamo allows user-transparent …
Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms
Computer vision and image processing algorithms form essential components of many
industrial, medical, commercial, and research-related applications. Modern imaging systems …
industrial, medical, commercial, and research-related applications. Modern imaging systems …
Computational methods for electron tomography
JJ Fernandez - Micron, 2012 - Elsevier
Electron tomography (ET) has emerged as a powerful technique to address fundamental
questions in molecular and cellular biology. It makes possible visualization of the molecular …
questions in molecular and cellular biology. It makes possible visualization of the molecular …
Automatic alignment and reconstruction of images for soft X-ray tomography
DY Parkinson, C Knoechel, C Yang, CA Larabell… - Journal of structural …, 2012 - Elsevier
Soft X-ray tomography (SXT) is a powerful imaging technique that generates quantitative, 3D
images of the structural organization of whole cells in a near-native state. SXT is also a high …
images of the structural organization of whole cells in a near-native state. SXT is also a high …
Hardware accelerators for real-time face recognition: A survey
A Baobaid, M Meribout, VK Tiwari, JP Pena - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …
varied critical applications which include biometrics, security in public places, and …
[HTML][HTML] A survey of GPU-based medical image computing techniques
Medical imaging currently plays a crucial role throughout the entire clinical applications from
medical scientific research to diagnostics and treatment planning. However, medical …
medical scientific research to diagnostics and treatment planning. However, medical …