Results 181 to 190 of about 1,826,590 (358)

1.18 Comparative accuracy of iterative reconstruction algorithms in quantitative thallium-201 SPECT imaging

, 2001
Christopher L. Hansen, Peng Deng, Benedicto Sánchez, Reinaldo Ramírez Robinson   +3 more
openalex   +1 more source

An iterative method for electrostatic object reconstruction in a half space [PDF]

, 2006
C. van Berkel, William Lionheart
openalex   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Iterative projection reconstruction of time‐resolved images using highly‐constrained back‐projection (HYPR) [PDF]

, 2007
Rafael O’Halloran, Zhifei Wen, James H. Holmes, Sean B. Fain   +3 more
openalex   +1 more source

CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length

Advanced Science, EarlyView.
This study presents a diffusion model for generating functional peptide sequence lengths using mask control. The model can generate antimicrobial, antifungal, and antiviral peptides with specific lengths on demand. The model learns the structure of peptides better and generates peptides with better physicochemical properties, and the model has good ...
Zhenjie Luo, Aoyun Geng, Leyi Wei, Quan Zou, Feifei Cui, Zilong Zhang   +5 more
wiley   +1 more source

Accurate real space iterative reconstruction (RESIRE) algorithm for tomography. [PDF]

Sci Rep, 2023
Pham M, Yuan Y, Rana A, Osher S, Miao J.
europepmc   +1 more source

FREQ‐NESS Reveals the Dynamic Reconfiguration of Frequency‐Resolved Brain Networks During Auditory Stimulation

Advanced Science, EarlyView.
A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso, Gemma Fernández‐Rubio, Peter Erik Keller, Elvira Brattico, Peter Vuust, Morten L Kringelbach, Leonardo Bonetti   +6 more
wiley   +1 more source

Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro‐CT [PDF]

, 2007
Jiayu Song, Qing Liu, G. Allan Johnson, Cristian T. Badea   +3 more
openalex   +1 more source

Massage‐Mimicking Nanosheets Mechanically Reorganize Inter‐organelle Contacts to Restore Mitochondrial Functions in Parkinson's Disease

Advanced Science, EarlyView.
Parkinson's disease (PD) progression is aggravated by disrupted inter‐organelle contacts, which are influenced by mechanical forces. NanoMassage, 200 nm PEGylated black phosphorus nanosheets, deliver targeted mechanical stimulation to neural cells.
Tianqi Li, Liwen Huang, Chenxiao Guo, Jing Ren, Xi Chen, Yachu Ke, Zengyu Xun, Wenzhuo Hu, Yilin Qi, Heping Wang, Zhongying Gong, Xing‐Jie Liang, Xue Xue   +12 more
wiley   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

Advanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu   +5 more
wiley   +1 more source