Results 171 to 180 of about 6,366,089 (278)

Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy. [PDF]

Med Phys, 2023
Waddington DEJ, Hindley N, Koonjoo N, Chiu C, Reynolds T, Liu PZY, Zhu B, Bhutto D, Paganelli C, Keall PJ, Rosen MS.   +10 more
europepmc   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Multiscale SPD manifold learning for rehabilitation exercise evaluation. [PDF]

Sci Rep
Bai Z, Snášel V, Grosan C, Mirjalili S, Vo B, Pan JS, Kong L.   +6 more
europepmc   +1 more source

Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations. [PDF]

J Chem Theory Comput, 2022
Rydzewski J, Chen M, Ghosh TK, Valsson O.   +3 more
europepmc   +1 more source

A note on the structural stability of the equilibrium manifold [PDF]

In a smooth pure exchange economy with fixed total resources we investigate whether the smooth selection property holds when endowments are redistributed across consumers through a continuous (non local) redistribution policy.
Matta, Stefano, Loi, Andrea
core  

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Objective Comparison of Auditory Profiles Using Manifold Learning and Intrinsic Measures. [PDF]

Trends Hear
Xu C, Kollmeier B, Schell-Majoor L.
europepmc   +1 more source

Data-Augmented Manifold Learning Thermography for Defect Detection and Evaluation of Polymer Composites. [PDF]

Polymers (Basel), 2022
Liu K, Wang F, He Y, Liu Y, Yang J, Yao Y.   +5 more
europepmc   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. [PDF]

IEEE Trans Med Imaging, 2023
Djebra Y, Marin T, Han PK, Bloch I, Fakhri GE, Ma C.   +5 more
europepmc   +1 more source