Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jcrc.2016.12.023 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cognitive load detection through EEG lead wise feature optimization and ensemble classification.
Sci Rep
January 2025
Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India.
Cognitive load stimulates neural activity, essential for understanding the brain's response to stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating cognitive load by extracting, selection, and classifying features from electroencephalogram (EEG) signals. We employed robust local mean decomposition (R-LMD) to decompose EEG data from each channel, recorded over a four-second period, into five modes.
View Article and Find Full Text PDF3D CT to 2D X-ray image registration for improved visualization of tibial vessels in endovascular procedures.
Int J Comput Assist Radiol Surg
January 2025
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Purpose: During endovascular revascularization interventions for peripheral arterial disease, the standard modality of X-ray fluoroscopy (XRF) used for image guidance is limited in visualizing distal segments of infrapopliteal vessels. To enhance visualization of arteries, an image registration technique was developed to align pre-acquired computed tomography (CT) angiography images and to create fusion images highlighting arteries of interest.
Methods: X-ray image metadata capturing the position of the X-ray gantry initializes a multiscale iterative optimization process, which uses a local-variance masked normalized cross-correlation loss to rigidly align a digitally reconstructed radiograph (DRR) of the CT dataset with the target X-ray, using the edges of the fibula and tibia as the basis for alignment.
Single-arm multicenter phase II study on aggressive local consolidative therapy in combination with systemic chemotherapy for stage IV non-small cell lung carcinoma with oligometastases: CURE-OLIGO (TORG1529).
Radiat Oncol
January 2025
Department of Respiratory Medicine and Medical Oncology, Yokohama Municipal Citizen's Hospital, Yokohama, Kanagawa, Japan.
Introduction: Stage IV non-small cell lung carcinoma (NSCLC) with oligometastases is potentially curable by radical treatment. This study aimed to evaluate the efficacy and safety of chemoradiotherapy (CRT) for thoracic disease, including the primary lesion and lymph node metastases, combined with local consolidative therapy (LCT) for oligometastases.
Methods: This was a multicenter Phase II trial for patients with Stage IV NSCLC with oligometastases for whom CRT for thoracic disease was feasible.
Exploring policy processes against microbial threats in Iran: a qualitative policy analysis.
BMJ Open
January 2025
Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of).
Objectives: Microbial threats pose a growing concern worldwide. This paper reports the analysis of Iran's policy process against microbial threats.
Design: This is a qualitative study.
Digital health technologies enabling the transition from pregnancy to early parenthood: A scoping review.
Z Evid Fortbild Qual Gesundhwes
January 2025
Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!