Zobrazeno 1 - 10
of 2 640
pro vyhledávání: '"Jones Derek"'
Autor:
Cicimen, Alp G., Tregidgo, Henry F. J., Figini, Matteo, Messaritaki, Eirini, McNabb, Carolyn B., Palombo, Marco, Evans, C. John, Cercignani, Mara, Jones, Derek K., Alexander, Daniel C.
Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diffusion MRI scans poses a problem in training neur
Externí odkaz:
http://arxiv.org/abs/2408.03216
Autor:
Canales-Rodríguez, Erick J., Pizzolato, Marco, Zhou, Feng-Lei, Barakovic, Muhamed, Thiran, Jean-Philippe, Jones, Derek K., Parker, Geoffrey J. M., Dyrby, Tim B.
Purpose: This study aims to evaluate two distinct approaches for fibre radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfibre phantoms that mimic hollow axons. The methods considered are the spherical mean power-law a
Externí odkaz:
http://arxiv.org/abs/2311.02688
Autor:
Uhl, Quentin, Pavan, Tommaso, Molendowska, Malwina, Jones, Derek K., Palombo, Marco, Jelescu, Ileana
Biophysical models of diffusion tailored to quantify gray matter microstructure are gathering increasing interest. The two-compartment Neurite EXchange Imaging ($NEXI$) model has been proposed recently to account for neurites, extra-cellular space an
Externí odkaz:
http://arxiv.org/abs/2307.09492
Autor:
Barakovic, Muhamed, Pizzolato, Marco, Tax, Chantal M. W., Rudrapatna, Umesh, Magon, Stefano, Dyrby, Tim B., Granziera, Cristina, Thiran, Jean-Philippe, Jones, Derek K., Canales-Rodríguez, Erick J.
Publikováno v:
Frontiers in Neuroscience, Vol 17, 2023. https://www.frontiersin.org/articles/10.3389/fnins.2023.1209521
Axon radius is a potential biomarker for brain diseases and a crucial tissue microstructure parameter that determines the speed of action potentials. Diffusion MRI (dMRI) allows non-invasive estimation of axon radius, but accurately estimating the ra
Externí odkaz:
http://arxiv.org/abs/2304.09275
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations
Autor:
Jones, Derek, Allen, Jonathan E., Zhang, Xiaohua, Khaleghi, Behnam, Kang, Jaeyoung, Xu, Weihong, Moshiri, Niema, Rosing, Tajana S.
Publicly available collections of drug-like molecules have grown to comprise 10s of billions of possibilities in recent history due to advances in chemical synthesis. Traditional methods for identifying ``hit'' molecules from a large collection of po
Externí odkaz:
http://arxiv.org/abs/2303.15604
In this work, we evaluate how neural networks with periodic activation functions can be leveraged to reliably compress large multidimensional medical image datasets, with proof-of-concept application to 4D diffusion-weighted MRI (dMRI). In the medica
Externí odkaz:
http://arxiv.org/abs/2208.01602
Autor:
Planchuelo-Gómez, Álvaro, Descoteaux, Maxime, Larochelle, Hugo, Hutter, Jana, Jones, Derek K., Tax, Chantal M.W.
Publikováno v:
In Medical Image Analysis May 2024 94
Autor:
Jones, Derek M., Nichols, William R.
An analysis of the 61,817 tasks performed by developers working on 45 projects, implemented using Team Software Process, is documented via a conversation between a data analyst and the person who collected, compiled, and originally analyzed the data.
Externí odkaz:
http://arxiv.org/abs/2106.03679
Autor:
Stevenson, Garrett A., Jones, Derek, Kim, Hyojin, Bennett, W. F. Drew, Bennion, Brian J., Borucki, Monica, Bourguet, Feliza, Epstein, Aidan, Franco, Magdalena, Harmon, Brooke, He, Stewart, Katz, Max P., Kirshner, Daniel, Lao, Victoria, Lau, Edmond Y., Lo, Jacky, McLoughlin, Kevin, Mosesso, Richard, Murugesh, Deepa K., Negrete, Oscar A., Saada, Edwin A., Segelke, Brent, Stefan, Maxwell, Torres, Marisa W., Weilhammer, Dina, Wong, Sergio, Yang, Yue, Zemla, Adam, Zhang, Xiaohua, Zhu, Fangqiang, Lightstone, Felice C., Allen, Jonathan E.
Structure-based Deep Fusion models were recently shown to outperform several physics- and machine learning-based protein-ligand binding affinity prediction methods. As part of a multi-institutional COVID-19 pandemic response, over 500 million small m
Externí odkaz:
http://arxiv.org/abs/2104.04547