Results 81 to 90 of about 8,831 (260)

A cross-center smoothness prior for variational Bayesian brain tissue segmentation

, 2019
Suppose one is faced with the challenge of tissue segmentation in MR images, without annotators at their center to provide labeled training data. One option is to go to another medical center for a trained classifier.
A Opbroek Van, AM Mendrik, B Aubert-Broche, C Blaiotta, C Wang, CA McGrory, CM Bishop, DM Blei, DM Blei, G Winkler, H Benoit-Cattin, J Ashburner, J Liu, MA Ikram, N Nasios, O Ronneberger, SJ Pan, T Rohlfing, Y Zhang   +18 more
core   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Estimation of Organ and Effective Dose due to Compton Backscatter Security Scans [PDF]

, 2012
Purpose: To estimate organ and effective radiation doses due to backscatter security scanners using Monte Carlo simulations and a voxelized phantom set. Methods: Voxelized phantoms of male and female adults and children were used with the GEANT4 toolkit ...
Hoppe, Michael, Schmidt, Taly Gilat
core   +1 more source

Leveraging Digital Advanced Manufacturing to Enable Polymer Electrolyte Fuel Cells With Ultrahigh Gravimetric Power Density

Advanced Energy Materials, EarlyView.
This study employs digital advanced manufacturing to develop lightweight, compact porous distributors as alternatives to conventional bipolar plates in PEM fuel cells. A graphene‐coated nickel foam achieves a power density of 1.52 W cm−2, while titanium‐based designs deliver lightweight solutions: an LPBF‐fabricated Gyroid lattice reaches 1.36 W cm−2 ...
Hadi Heidary, Vahid Nasrollahi, Daniel Wilmot, Jacob Bracegirdle‐Morais, Sophie C. Cox, Stefan Dimov, Moataz M. Attallah, Ahmad El‐kharouf, Sara Walker, Robert Steinberger‐Wilckens   +9 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

A Rat Body Phantom for Radiation Analysis [PDF]

To reduce the uncertainties associated with estimating the biological effects of ionizing radiation in tissue, researchers rely on laboratory experiments in which mono-energetic, single specie beams are applied to cell cultures, insects, and small ...
Clowdsley, Martha S., Qualls, Garry D., Slaba, Tony C., Walker, Steven A.   +3 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Corrigendum: Comparison of 3DCRT and IMRT out-of-field doses in pediatric patients using Monte Carlo simulations with treatment planning system calculations and measurements

Frontiers in Oncology, 2023
Ana Cravo Sá, Ana Cravo Sá, Ana Cravo Sá, Andreia Barateiro, Bryan P. Bednarz, Pedro Almeida, Pedro Vaz, Tiago Madaleno   +7 more
doaj   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

Advanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source