Results 31 to 40 of about 7,364,821 (307)

On-Chip Biomedical Imaging [PDF]

IEEE Reviews in Biomedical Engineering, 2013
Lab-on-a-chip systems have been rapidly emerging to pave the way toward ultra-compact, efficient, mass producible and cost-effective biomedical research and diagnostic tools. Although such microfluidic and microelectromechanical systems have achieved high levels of integration, and are capable of performing various important tasks on the same chip ...
Zoltán, Göröcs, Aydogan, Ozcan
openaire   +2 more sources

Virtual linear measurement system for accurate quantification of medical images

Healthcare Technology Letters, 2019
Virtual reality (VR) has the potential to aid in the understanding of complex volumetric medical images, by providing an immersive and intuitive experience accessible to both experts and non-imaging specialists.
Gavin Wheeler, Shujie Deng, Kuberan Pushparajah, Julia A. Schnabel, John M. Simpson, Alberto Gomez   +5 more
doaj   +1 more source

Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing

BMC Medical Informatics and Decision Making, 2021
Background A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of accurate automated protocol assignment. We aim to develop,
Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L. Chen, Gunvant R. Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid, Jae Ho Sohn   +8 more
doaj   +1 more source

An fMRI Compatible Touchscreen to Measure Hand Kinematics During a Complex Drawing Task [PDF]

, 2015
ACKNOWLEDGMENTS This study was funded by the Northwood Trust and the Aberdeen Biomedical Imaging Centre, University of Aberdeen. GDW is part of the SINASPE collaboration (Scottish Imaging Network - A Platform for Scientific Excellence www.SINAPSE.ac.uk).
Braadbaart, Lieke, Buchan, Gordon, Waiter, Gordon David, Williams, Justin Hereward Gwilym   +3 more
core   +1 more source

Fighting against fast speckle decorrelation for light focusing inside live tissue by photon frequency shifting [PDF]

, 2020
Light focusing inside live tissue by digital optical phase conjugation (DOPC) has drawn increasing interest due to its potential biomedical applications in optogenetics, microsurgery, phototherapy, and deep-tissue imaging.
Cheng, Zhongtao, Li, Jingwei, Li, Lei, Liu, Yan, Wang, Lihong V., Yang, Jiamiao   +5 more
core   +1 more source

Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography using Radially Symmetric Expansion Functions [PDF]

, 2014
Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles.
Er Oraevsky, Kun Wang, Mark A. Anastasio, Richard Su, Robert W. Schoonover, Senior Member   +5 more
core   +1 more source

Advances in Biomedical Imaging [PDF]

JAMA, 2001
In the 21st century, diseases will be diagnosed and treated using increasingly less invasive, more sophisticated imaging and image-guided procedures. During the past 100 years, the field of biomedical imaging has developed from Roentgen's original discovery of the x-ray to the imaging tools of today, such as magnetic resonance imaging, computed ...
C M, Tempany, B J, McNeil
openaire   +2 more sources

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band [PDF]

, 2018
The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to undergo
Bekhti, Yousra, Bharadwaj, Hari, Ganesan, Santosh, Garel, Keri-Lee A., Gollub, Randy L., Hamalainen, Matti S., Hashmi, Javeria A., Kenet, Tal, Khan, Sheraz, Kitzbichler, Manfred G., Kong, Jian, Mamashli, Fahimeh, Michmizos, Konstantinos, Rana, Kunjan D., Stufflebeam, Steven M., Vaina, Lucia M., Whitfield-Gabrieli, Susan   +16 more
core   +1 more source

Capsules for biomedical image segmentation

Medical Image Analysis, 2021
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing, which reduces the parameter/memory burden and allows for the segmentation of objects at large resolutions.
Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci   +4 more
openaire   +5 more sources

Application of Nanomaterials in Biomedical Imaging and Cancer Therapy

Nanomaterials, 2020
Nanomaterials, such as nanoparticles, nanorods, nanosphere, nanoshells, and nanostars, are very commonly used in biomedical imaging and cancer therapy. They make excellent drug carriers, imaging contrast agents, photothermal agents, photoacoustic agents,
Sarkar Siddique, J. Chow
semanticscholar   +1 more source