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 …

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 …

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction

H Yang, J Li, X Xiao, J Wang, Y Li, K Li, Z Li… - Nature …, 2022 - nature.com
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 …

Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2

D Kimanius, BO Forsberg, SHW Scheres, E Lindahl - elife, 2016 - elifesciences.org
By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM
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

D Castaño-Díez, M Kudryashev, M Arheit… - Journal of structural …, 2012 - Elsevier
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 …

Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms

A HajiRassouliha, AJ Taberner, MP Nash… - Signal Processing …, 2018 - Elsevier
Computer vision and image processing algorithms form essential components of many
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 …

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 …

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 …

[HTML][HTML] A survey of GPU-based medical image computing techniques

L Shi, W Liu, H Zhang, Y Xie… - Quantitative imaging in …, 2012 - ncbi.nlm.nih.gov
Medical imaging currently plays a crucial role throughout the entire clinical applications from
medical scientific research to diagnostics and treatment planning. However, medical …