Results 51 to 60 of about 294 (197)

Global and Local Deviance Effects in the Processing of Temporal Patterns

Annals of the New York Academy of Sciences, EarlyView.
ABSTRACT Perceptual and sensorimotor events are often experienced as temporal patterns, that is, identified as sequences based on their temporal features. While current timing models propose separate mechanisms supporting the processing of single intervals and temporal patterns, they leave partially unclear whether the latter entails the processing of ...
Dunia Giomo, Romain Brasselet, Gianfranco Fortunato, Domenica Bueti   +3 more
wiley   +1 more source

S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Plant Biotechnology Journal, EarlyView.
ABSTRACT Small signalling peptides (SSPs) serve as crucial mediators of cell‐to‐cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size ...
Kelly L. Vomo‐Donfack, Mariem Abaach, Ana M. Luna, Grégory Ginot, Verónica G. Doblas, Ian Morilla   +5 more
wiley   +1 more source

ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U‐Nets

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2384-2396, April 2026.
ABSTRACT Purpose To propose a spatio‐temporal U‐Net based network (4DST) that exploits both spatial and dynamic information while avoiding memory‐intensive 4D convolutional layers for ASL‐based non‐contrast enhanced 4‐dimensional MR angiography (4D MRA) vessel segmentation.
Sang Hun Chung, Zihan Wang, Tianrui Zhao, Zhitao Li, Chase S. Krumpelman, Sarah J. Moum, Sameer A. Ansari, Lirong Yan   +7 more
wiley   +1 more source

Overlap‐Kernel EPI: Estimating MRI Shot‐to‐Shot Phase Variations by Shifted‐Kernel Extraction From Overlap Regions at Arbitrary k‐Space Locations

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2131-2152, April 2026.
ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian, Martin Uecker, Maxim Zaitsev, Klaus Scheffler   +3 more
wiley   +1 more source

Design and Performance Analysis of a New Class of Rate Compatible Serial Concatenated Convolutional Codes [PDF]

, 2005
Alexandre Graell i Amat, G. Montorsi, F. Vatta   +2 more
openalex   +1 more source

Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1762-1777, March 2026.
ABSTRACT Purpose This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images. Methods We introduce a deep learning framework that generates reliable ventricular volumetric parameters and strain measures from fully sampled and retrospectively accelerated MR images ...
Aya Ghoul, Paxstan Cassal Paulson, Andreas Lingg, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner   +7 more
wiley   +1 more source

A survey of downstream applications of evolutionary scale modeling protein language models

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract The evolutionary scale modeling (ESM) series is promising to revolutionize protein science and engineering through large language models (LLMs), providing a robust framework for understanding the relationships among sequences, structures, and functions of proteins.
Qingyu Yang, Jiale Yu, Jie Zheng
wiley   +1 more source

Large language models for bioinformatics

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
wiley   +1 more source

Some Extended Results on the Design of Punctured Serially Concatenated Convolutional Codes

, 2017
Massimiliano Laddomada, B. Scanavino
openalex   +1 more source

MFCN‐DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Precise prediction of drug–drug interactions (DDIs) is essential for pharmaceutical research and clinical applications to minimize adverse reactions, optimize therapies, and reduce costs. However, existing methods still face challenges in effectively integrating multidimensional drug features and fully utilizing edge features in molecular ...
Jiayi Lu, Yingying Jiang, Yuhan Fu, Mengdi Nan, Qing Ren, Jie Gao   +5 more
wiley   +1 more source