Results 71 to 80 of about 920,907 (239)

Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Feature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han, Ning Lv, Zhiyi Wang, Wei Han, Li Cong, Shaohua Wan, Chen Chen   +6 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

A robust feature-based registration method of multimodal image using phase congruency and coherent point drift

, 2013
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The proposed algorithm first constructs phase congruency representations (PCR) of images to be registered.
Xia RB(夏仁波), Liu YP(刘云鹏), Zhao JB(赵吉斌)   +2 more
core  

CSIFT: A Structural Feature Encoding Framework for Cross-Modal Image Registration

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multimodal sensor collaborative detection serves as an indispensable complementary technology in Earth observation. However, significant cross-modal discrepancies in multimodal images severely limit the operational efficiency and alignment accuracy of ...
Lipeng Lian, Leping Chen, Daoxiang An
doaj   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

MMIR: an open-source software for the registration of multimodal histological images

BMC Medical Informatics and Decision Making
Background Multimodal histology image registration is a process that transforms into a common coordinate system two or more images obtained from different microscopy modalities.
Rodrigo Escobar Díaz Guerrero, José Luis Oliveira, Juergen Popp, Thomas Bocklitz   +3 more
doaj   +1 more source

Multistep Networks for Deformable Multimodal Medical Image Registration

IEEE Access
We proposed neural networks for deformable multimodal medical image registration that use multiple steps and varying resolutions. The networks were trained jointly in an unsupervised manner with Mutual Information and Gradient L2 loss.
Anika Strittmatter, Frank G. Zollner
doaj   +1 more source

A variational joint segmentation and registration framework for multimodal images

Journal of Algorithms & Computational Technology, 2020
Image segmentation and registration are closely related image processing techniques and often required as simultaneous tasks. In this work, we introduce an optimization-based approach to a joint registration and segmentation model for multimodal images ...
Adela Ademaj, Lavdie Rada, Mazlinda Ibrahim, Ke Chen   +3 more
doaj   +1 more source

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary, Ghaith Noaiseh, Julie Frantsve‐Hawley, Frederick B. Vivino, Jennifer A. McCombe, Shamik Bhattacharyya, E. Sherwood Brown, Andrew R. Carey, Robert Fox, Thomas Grader‐Beck, Janet E. Lewis, Stephen Maitz, Steven Mandel, Astrid Rasmussen, George Sarka, R. Hal Scofield, Daniel J. Wallace, Rochelle Zak, Kristie Cox, Katherine M. Hammitt, Steven Carsons, Nancy Carteron   +21 more
wiley   +1 more source