Results 151 to 160 of about 17,625 (278)

Sector Classification of Unerupted Maxillary Canines: A Deep Learning‐Based Automated Framework Using Panoramic Radiographs

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objectives To develop a deep learning‐based framework to automate sector classification of unerupted maxillary canines (UMCs), assessing its accuracy and reliability compared to human ones. Material and Methods One thousand five hundred twenty‐eight UMCs from digital panoramic radiographs (PRs) were selected using data from the Dental ...
Marzio Galdi, Davide Cannatà, Flavia Celentano, Luigia Rizzo, Domenico Rossi, Tecla Bocchino, Genoveffa Tortora, Stefano Martina   +7 more
wiley   +1 more source

Fast MRI Techniques of the Liver and Pancreaticobiliary Tract: Overview and Application

Journal of the Korean Society of Radiology
In liver and pancreatobiliary MRI, mitigating respiratory motion-related artifacts has always been a major challenge in image acquisition. Motion reduction by breathing control schemes or scan time acceleration by k-space undersampling are two ...
Bohyun Kim, So Hyun Park, Moon Hyung Choi   +2 more
doaj   +1 more source

Personnel Psychology's 40 Questions Series: Artificial Intelligence

Personnel Psychology, EarlyView.
ABSTRACT In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes:
Emily D. Campion, Scott Tonidandel
wiley   +1 more source

Undersampling and Oversampling in Sample Based Shape Modeling

, 2001
Shape modeling is an integral part of many visualization problems. Recent advances in scanning technology and a number of surface reconstruction algorithms have opened up a new paradigm for modeling shapes from samples.
Samrat Goswami, Wulue Zhao, James Hudson, Rephael Wenger, Tamal K. Dey, Joachim Giesen   +5 more
core  

A Magnetic Resonance Fingerprinting Approach for Simultaneous T1‐ and PRFS‐Based 3D MR‐Thermometry

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1274-1282, September 2026.
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1 thermometry during microwave ablation with T1 improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere.
Moritz Gutt, Dominik Horstmann, Othmar Belker, Simon Schröer, Daniel Düx, Frank Wacker, Marcel Gutberlet, Bennet Hensen   +7 more
wiley   +1 more source

DynaTOF: Time‐Resolved Noncontrast Cerebral MR Angiography Using Spatially Modulated RF Saturation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1134-1147, September 2026.
ABSTRACT Purpose To develop a time‐resolved extension of three‐dimensional time‐of‐flight MR angiography, termed Dynamic TOF (DynaTOF), that exploits intrinsic RF saturation behavior to enable noncontrast visualization of cerebrovascular hemodynamics.
Naoyuki Takei, Keita Fujii, Xucheng Zhu, Yuichi Suzuki, Satoru Miyawaki, Motoyuki Umekawa, Satoshi Koizumi, Tetsuya Wakayama, Shiori Amemiya, Osamu Abe   +9 more
wiley   +1 more source

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1293-1302, September 2026.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1303-1312, September 2026.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +1 more source

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1323-1332, September 2026.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Single‐Shot 2D Radial Echo Planar Imaging for Functional MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1245-1260, September 2026.
ABSTRACT Purpose To develop a novel single‐shot radial echo planar imaging (ss‐rEPI) technique for rapid, distortion‐free brain imaging in functional MRI experiments. Methods Radial multi‐gradient echo (radial mGRE) data were acquired on a 3T clinical scanner using a 2D ss‐rEPI readout with small golden‐angle rotations between echoes.
Christoph A. Rettenmeier, Zidan Yu, Krystalyn Edwards‐Calma, Kai Tobias Block, V. Andrew Stenger   +4 more
wiley   +1 more source