Results 41 to 50 of about 132 (124)

Dissecting Glioma Heterogeneity: A Deep Hybrid Graph Convolutional Network With Hinge Attention for Causal‐Effect Explainability

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, S. M. Hasan Mahmud, M. F. Mridha, Zeyar Aung   +4 more
wiley   +1 more source

Authoring Terrestrial Planets with Diffusion Models

Computer Graphics Forum, EarlyView.
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg, James Gain, Éric Guérin, Adrien Peytavie, Marie‐Paule Cani, Eric Galin, Guillaume Cordonnier   +6 more
wiley   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
wiley   +1 more source

Shot‐Based Quantum Encoding: A Data‐Loading Paradigm for Quantum Neural Networks

Advanced Computing, Volume 1, Issue 1, December 2026.
Shot‐based quantum encoding loads classical data without any encoding gates: a learned map turns each datum into a probability vector that dictates how many measurement shots start in each basis state, preparing a mixed state that a shallow variational circuit processes as a quantum perceptron layer.
Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy, Alexey Melnikov   +3 more
wiley   +1 more source

IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

CoRR, 2018
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In addition to structured sparse kernels, low-rank kernels and the product of low-rank kernels, the product of structured sparse kernels, which is a framework for interpreting the ...
Guotian Xie, Jingdong Wang 0001, Ting Zhang 0002, Jianhuang Lai, Richang Hong, Guo-Jun Qi   +5 more
openaire   +2 more sources

Inter‐Shot Motion Correction of Segmented 3D‐GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1557-1571, October 2026.
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu, Frederik J. Lange, Peter Jezzard, Joseph G. Woods, Mark Chiew, Thomas W. Okell   +5 more
wiley   +1 more source

Multiple‐TE Based Blood–Brain‐Barrier Water Exchange Time Measurement Using a TE‐Resolved 3D TSE Stack‐Of‐Spirals Readout

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1629-1644, October 2026.
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li, Yiran Li, Xiao Liang, Amnah Mahroo, Manuel Taso, Marta Vidorreta Díaz de Cerio, Lucas Lemos Franco, Yulin Chang, María Asunción Fernández Seara, Matthias Günther, John A. Detre, Ze Wang   +11 more
wiley   +1 more source

GEMA: Graph Embeddings for Multi‐Agent Coordination

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Many cooperative multi‐agent tasks are naturally defined by graph‐structured objectives, where agents must collectively reach, for example, a desired relational configuration or satisfy a set of constraints. These objectives often encode spatial arrangements, inter‐agent relations, or constraints that can be formalized as target graphs ...
Alessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri   +3 more
wiley   +1 more source

Bio‐Inspired Robust Non‐combustible Bioplastic with Superinsulated Energy Harvesting for Intelligent Firefighting

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 5, September 2026.
This study develops a novel non‐combustible chitosan‐based bioplastic (NCCB) via ethanol‐induced surface assembly. The material's inherent flame retardancy and thermally insulating, rough surface enable high‐performance TENGs. The NCCB‐TENG maintains stable output even when exposed to fire and exhibits dual sensitivity to temperature (25–200°C) and ...
Qilin Lu, Liying Zhang, Pengyun Zhang, Junjie Wang, Huamin Chen, Hanchen Wang   +5 more
wiley   +1 more source

Modified convolutional interleavers and their performance in turbo codes

SympoTIC '04. Joint 1st Workshop on Mobile Future & Symposium on Trends In Communications (IEEE Cat. No.04EX877), 2005
In previous work, we have presented application of a model of the convolutional interleaver in turbo codes acting as a block interleaver through inserting a number of stuff bits equal to the number of interleaver memories at the end of each data block.
Vafi, Sina, Wysocki, Tadeusz
openaire   +2 more sources