Results 91 to 100 of about 16,591 (312)

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation [PDF]

open access: green, 2022
Jiankun Li   +8 more
openalex   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair   +5 more
wiley   +1 more source

Stereo Matching Based on Features of Image Patch

open access: gold, 2021
Shi Sheng Zhou   +5 more
openalex   +2 more sources

Metabolic fate of drugs of abuse and new psychoactive substances: A pilot study on a novel workflow using a zebrafish embryo model combined with human microdosing

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aim The aim of this study was to develop a novel workflow to identify human urine biomarkers for drugs of abuse and new psychoactive substances. Metabolites of amphetamine, cocaine, LSD, MDMA, methamphetamine, THC, MDMB‐CHMICA, and MDPPP were first identified in a zebrafish embryo (ZE) metabolism study followed by comparison to most abundant human ...
Simon K. Wellenberg   +7 more
wiley   +1 more source

Unsupervised monocular stereo matching

open access: yes, 2018
At present, deep learning has been applied more and more in monocular image depth estimation and has shown promising results. The current more ideal method for monocular depth estimation is the supervised learning based on ground truth depth, but this method requires an abundance of expensive ground truth depth as the supervised labels.
Zhang, Zhimin   +2 more
openaire   +2 more sources

MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling

open access: yesIEEE Access
In stereo matching, Convolutional Neural Networks (CNNs), a class of deep learning models designed to process grid-like data such as images, have traditionally served as the predominant architectures.
Jihye Ahn   +3 more
doaj   +1 more source

EGOF-Net: epipolar guided optical flow network for unrectified stereo matching

open access: gold, 2021
Yunpeng Li   +6 more
openalex   +1 more source

Radial capacity and hemodynamics evaluation in vitro and implantable feasibility validation in vivo of thinner bioresorbable polymer vascular stents

open access: yesBMEMat, EarlyView.
A series of in vitro experiments, numerical simulations and in vivo experiments were conducted to jointly evaluate the effects of different thicknesses of bioabsorbable polymer vascular stents on their radial capacity, hemodynamics and in vivo outcomes.
Chong Chen   +9 more
wiley   +1 more source

Porphyrin‐Geländer–Helical Conjugated Banister Type Porphyrin Dyads

open access: yesChemistry – A European Journal, EarlyView.
Porphyrin arrays go chiral–A porphyrin Geländer macrocycle represents the intriguing prototype architecture of helically chiral butadiyne‐linked porphyrin arrays. This study combines synthetic, spectroscopic, and computational methods to shed light on its structure, chiroptical properties, and tunability, highlighting its promise for advancing ...
Joël F. Keller   +2 more
wiley   +1 more source

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