Results 151 to 160 of about 12,652 (226)

Faith Seeking Prompting: Reimagining Theological Education in the Era of Generative AI

Teaching Theology &Religion, EarlyView.
ABSTRACT By juxtaposing Gutenberg's invention of movable type with today's generative‐AI “Gutenberg moment,” this article reimagines theological education in the age of AI. It surveys pioneering implementations of AI in theological education, most notably at Acadia Divinity College, and highlights a growing landscape of AI‐driven courses, chatbots, and
Jordan Zhixi Wang
wiley   +1 more source

Enhancing 5G uplink communications through efficient PCC-OFDM with neural network-based channel estimation. [PDF]

Sci Rep
J MJ, S S.
europepmc   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 928-942, August 2026.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2) without averaging were used for self‐supervised ...
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source

Interpretability and performance of a 3D C-vit model for accurate grading of pediatric brain tumors. [PDF]

Front Oncol
Wu H, Zhao L, Zhang Y, Zhang C, Zhao G, Li W, Cheng Y, Wang X, Ping T, Wang X, Wei F, Zhang Q, Dong J, Wang W.   +13 more
europepmc   +1 more source

Real‐Time, Inline Quantitative MRI Enabled by Scanner‐Integrated Machine Learning: A Proof of Principle With NODDI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 986-995, August 2026.
ABSTRACT Purpose The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to ‘research mode’, due to resource‐intensive, offline parameter estimation. This work aimed to achieve ‘clinical mode’ qMRI, by real‐time, inline parameter estimation with a trained neural network (NN) fully ...
Samuel Rot, Iulius Dragonu, Christina Triantafyllou, Matthew Grech‐Sollars, Anastasia Papadaki, Laura Mancini, Stephen Wastling, Jennifer Steeden, John S. Thornton, Tarek Yousry, Claudia A. M. Gandini Wheeler‐Kingshott, David L. Thomas, Daniel C. Alexander, Hui Zhang   +13 more
wiley   +1 more source

Cloud-to-Edge Deployment of Optimized nnU-Net for Ischemic Stroke Lesion Segmentation on Resource-Constrained Embedded Devices. [PDF]

Sensors (Basel)
Alcaraz-Ortiz D, Zapata-Pérez JF, Martinez-Alajarin J.   +2 more
europepmc   +1 more source

Semi‐Automatic Assessment of Crohn's Disease Activity by Combined Analysis of Bowel Lesions and Creeping Fat

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 302-314, July 2026.
ABSTRACT Purpose To develop and evaluate Crohn‐BOOST, an open‐source tool enabling semi‐automatic segmentation of intestinal lesions and creeping fat on magnetic resonance enterography (MR Enterography), and to assess whether quantitative metrics derived from these segmentations relate to radiological disease activity scored with simplified MaRIA ...
Antoine Kneib, Astrée Lemore, Gabriela Hossu, Laurent Peyrin‐Biroulet, Valérie Laurent, Freddy Odille   +5 more
wiley   +1 more source

An energy-efficient Flash-SAR ADC with two-step flash structure in a 0.18 μm CMOS process. [PDF]

Sci Rep
Xue S.
europepmc   +1 more source

Pixel ADC Design for Hybrid CMOS Image Sensors

, 2010
This thesis presents the design of a pixel level analog-to-digital converter (ADC) circuit for hybrid CMOS image sensors. There are several methods to increase the dynamic range of the sensor through the readout algorithm.
Ma, C. (author)
core  

Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 460-468, July 2026.
ABSTRACT Purpose Devising methodology to characterize and optimize acquisition schemes for biological tissues, such as the prostate, that produce model‐based synthetic diffusion‐weighted images and derived model parameters with predictable SNR improvement. Methods The averaging effect (AE) in synthetic diffusion‐weighted images obtained through fitting
Stefan Kuczera, Stephan E. Maier
wiley   +1 more source