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Deep learning

The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset

Abdalla Ibrahim, Turkey Refaee, [ ... ], Philippe Lambin

ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans

Mehdi Yousefzadeh, Parsa Esfahanian, [ ... ], Reza Lashgari

A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service

Abdul Hannan, Faisal Hussain, [ ... ], Ahmed Saeed Alfakeeh

Validity concerns with the Revised Study Process Questionnaire (R-SPQ-2F) in undergraduate anatomy & physiology students

Staci N. Johnson, Eliza D. Gallagher, Anna Marie Vagnozzi

Gastric polyp detection in gastroscopic images using deep neural network

Chanting Cao, Ruilin Wang, [ ... ], Changyin Sun

A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network

S. M. Isuru Niroshana, Xin Zhu, Keijiro Nakamura, Wenxi Chen

The phase space of meaning model of psychopathology: A computer simulation modelling study

Johann Roland Kleinbub, Alberto Testolin, Arianna Palmieri, Sergio Salvatore

Clustered embedding using deep learning to analyze urban mobility based on complex transportation data

Sung-Bae Cho, Jin-Young Kim

Automatic image annotation for fluorescent cell nuclei segmentation

Fabian Englbrecht, Iris E. Ruider, Andreas R. Bausch

SA-Net: A scale-attention network for medical image segmentation

Jingfei Hu, Hua Wang, [ ... ], Jicong Zhang

Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities

Jeongtae Son, Dongsup Kim

Deep learning classification of lipid droplets in quantitative phase images

Luke Sheneman, Gregory Stephanopoulos, Andreas E. Vasdekis

Semi-supervised learning for an improved diagnosis of COVID-19 in CT images

Chang Hee Han, Misuk Kim, Jin Tae Kwak

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