Results 61 to 70 of about 251 (146)

Task‐Evoked Functional Activation and Coupling With CSF Flow Detected in the Human Brain With Ultrashort Echo Time fMRI at 7 T

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
Ultrashort and zero echo time (UTE and ZTE) MRI techniques generate functional contrast through inflow effects, making them suitable for studying cerebral blood flow and cerebrospinal fluid (CSF) dynamics. In a 7‐T study of 13 participants performing a visual task, we demonstrate that UTE produced robust, reproducible activations with group‐level ...
Sara Ponticorvo, Ekaterina Paasonen, Pavel Filip, Douglas L. Rothman, Juha S. Valjakka, Olli Gröhn, Shalom Michaeli, Silvia Mangia   +7 more
wiley   +1 more source

Application of convolutional interleavers in turbo codes with unequal error protection, Journal of Telecommunications and Information Technology, 2006, nr 1 [PDF]

, 2006
This paper deals with an application of convolu- tional interleavers in unequal error protection (UEP) turbo codes. The constructed convolutional interleavers act as block interleavers by inserting a number of stuff bits into the interleaver memories at ...
Vafi, Sina, Wysocki, Tadeusz A.
core   +1 more source

FS‐Mamba: Feature‐wise scanning Mamba UNet for automatic image segmentation in liver tumor radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background Medical image segmentation is fundamental to radiotherapy planning, yet accurate delineation of organs at risk and tumor targets remain challenging due to anatomical variability and low soft‐tissue contrast in CT images. Purpose To develop a lightweight, high‐precision automatic segmentation network that meets the dual clinical ...
Peijun Yin, Xueren Zhang, Xin Liu, Zekun Jiang, Qingtao Qiu, Yong Yin, Zhenjiang Li   +6 more
wiley   +1 more source

Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features

Human Brain Mapping, Volume 47, Issue 10, July 2026.
We introduce a novel paradigm using LLMs to map the brain's semantic space with greater ecological validity. This provides a robust framework for integrating naturalistic fMRI data and reveals a hierarchically organized semantic similarity space across the cerebral cortex.
Xin Liu, Ziyue Zhang, Jingxin Nie
wiley   +1 more source

Dual Encoder DCNN for Efficient and Robust Segmentation of Retinal Vascular Tree From Fundus Images

International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
ABSTRACT Retinal vessel segmentation is a critical step for the diagnosis and monitoring of ocular and cardiovascular diseases. Despite advances in medical imaging, achieving accurate segmentation across varying fundus image resolutions remains challenging.
Henda Boudegga, Yaroub Elloumi
wiley   +1 more source

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

Journal of Magnetic Resonance Imaging, Volume 64, Issue 1, Page 266-280, July 2026.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour, Matthew S. Fox, Grace Parraga, Alexei Ouriadov   +3 more
wiley   +1 more source

Enhanced 2D Spiral Cine DENSE MRI Using Low‐Rank Denoising for Improved Apparent Signal‐to‐Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 403-419, July 2026.
ABSTRACT Purpose To develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T. Methods We developed a low‐rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for ...
Shu‐Fu Shih, Yuxiao Wu, Siyue Li, Zhengyang Ming, Arutyun Pogosyan, Fei Han, Holden H. Wu, J. Paul Finn, Kim‐Lien Nguyen, Xiaodong Zhong   +9 more
wiley   +1 more source

Optimizing Selective RF Pulses for Enhanced Signal Stability in Turbo Spin Echo Using a Differentiable Extended Phase Graph Model

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 214-226, July 2026.
ABSTRACT Purpose To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo T2$$ {T}_2 $$ mapping. Methods Excitation and refocusing RF pulses were optimized for TSE using a differentiable extended phase graph model that incorporates the ...
Madison M. Augelli, Anuj Sharma, Mark A. Griswold, William A. Grissom   +3 more
wiley   +1 more source

Optimized Turbo Codes for Delay Constrained Applications [PDF]

, 2002
In this correspondence, we present the results of the optimization applied to the design of interleavers for rate-1 parallel concatenated convolutional codes (PCCC) tailored to specific recursive systematic convolutional (RSC) constituent codes.
MONDIN, Marina, F. DANESHGARAN
core   +1 more source

Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23Na/1H pTx MRI With Motion and Anatomy‐Based B1 Correction

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 173-190, July 2026.
ABSTRACT Purpose To improve accuracy and repeatability of myocardial 23Na quantification in cardiac MRI at 7 T by combining retrospective respiratory and cardiac motion correction with a novel anatomy‐based B1 bias field correction. Methods In this study, a dual‐nuclear interleaved 23Na/1H MRI sequence at 7 T was applied.
Laurent Ruck, Nico Egger, Benedikt Zobler, Judith Schirmer, Sophia Nagelstraßer, Andreas Bitz, Tanja Platt, Simon Konstandin, Christoph Kopp, Michael Uder, Armin Michael Nagel   +10 more
wiley   +1 more source