Results 231 to 240 of about 146,912 (305)

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

COFFEE-PRESC: A Fast Prescreening Method Using Compound Retrieval by Pairwise Positional Relationship of Representative Fragments. [PDF]

J Chem Inf Model
Shimizu M, Yoneyama S, Yanagisawa K, Akiyama Y.   +3 more
europepmc   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

Epilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges, Joana Isabel Soares, Daniela Dias, Helena Cordeiro, Alberto Leal   +4 more
wiley   +1 more source

GAMA: A Robust and Automated Fragment-Based Quantum Chemistry Method for Biomolecular Systems. [PDF]

J Phys Chem Lett
Kundu S, Saha A.
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Mol* web molecular graphics engine. [PDF]

Protein Sci
Rose AS, Tomasello G, Kovács ÁS, Autin L, Sehnal D.   +4 more
europepmc   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

Energy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang, Qiang Li, Jun Zhang, Chaohuang Xu   +3 more
wiley   +1 more source

LUMEN: A Lightweight UAV Multi-Enhanced Network for PSD-Based RF Fingerprinting on Edge Devices. [PDF]

Sensors (Basel)
Yoon MJ, Park KW.
europepmc   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Inhibition of PGK1 enhances sensitivity to tyrosine kinase inhibitor in T315I-mutant leukemia. [PDF]

Acta Pharm Sin B
Wang H, Jiang F, Pan A, Jin C, Xue Y, Liu W, Gu R, Zhou Y, Shen Q, Ma T, Yu X.   +10 more
europepmc   +1 more source