The application of machine learning (ML) to -omics research is growing at an exponential rate owing to the increasing availability of large amounts of data for model training. Specifically, in metabol...
In this retrospective study, we aimed to assess the objective and subjective image quality of different reconstruction techniques and a deep learning-based software on non-contrast head computed tomog...
Deformable registration is required to generate a time-integrated activity (TIA) map which is essential for voxel-based dosimetry. The conventional iterative registration algorithm using anatomical im...
In this study, we introduce CoRX-NET, a novel unsupervised deep learning network designed for deformable registration of hybrid medical images. The CoRX-NET structure is based on the Swin-transformer ...
Two different...
The ablation study revealed that cross-stitch layers improved SPECT/CT registration performance. The cross-stitch layers notably enhance SSIM (internal validation: 0.9614 vs. 0.9653, external validati...
This study represents a major advancement in achieving precise SPECT/CT registration using an unsupervised deep learning network. It outperforms conventional methods like Elastix and TransMorph, reduc...
When learning a novel visuomotor mapping (e.g., mirror writing), accuracy can improve quickly through explicit, knowledge-based learning (e.g., aim left to go right), but after practice, implicit or p...
The advent of high-throughput sequencing technologies has not only revolutionized the field of bioinformatics but has also heightened the demand for efficient taxonomic classification. Despite technol...
Through an in-depth comparative study, we evaluated the performance of both methodological categories in taxonomic classification by utilizing simulated datasets. Our analysis revealed that database-b...
For those interested in further exploring our methods, the source code of this study is publicly available on https://github.com/LoadStar822/Genome-Classifier-Performance-Evaluator. Additionally, a de...
Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; however, its reliability depends on the technical proficiency of the examiner. Recently, computer-aided diagnosis (C...
The CAD process comprises 2 steps: humeral capitellum detection using an object-detection algorithm and OCD classification using an image classification network. Four-directional ultrasound images of ...
Clinical evaluation using the external dataset resulted in high AUCs in all 4 directions: 0.969 for the anterior long axis, 0.966 for the anterior short axis, 0.996 for the posterior long axis, and 0....
We propose a deep learning-based CAD system to detect OCD lesions on ultrasound images. The CAD system achieved high accuracy in all 4 directions of the elbow. This CAD system with a deep learning mod...
Diagnostic Level II. See Instructions for Authors for a complete description of levels of evidence....
Despite the success of antiretroviral therapy (ART), individuals with HIV remain at risk for experiencing non-AIDS adverse events (NAEs), including cardiovascular complications and malignancy. Several...
Evidence-based practice has been the desirable healthcare standard for decades. To ensure evidence-based healthcare in the future, nursing education curricula must include strategies for teaching evid...
This study investigates whether writing a bachelor's thesis influences nursing students' practice, skills, and attitudes towards evidence-based practice, and explores whether there are differences bet...
This Nationwide Prospective Cohort Study collects data on students' practice, skills, and attitudes towards evidence-based practice through the Student Evidence-Based Practice Questionnaire and two qu...
The sample consists of 314 nursing students writing their bachelor's thesis in the last term of their nursing education. The responding students represent all institutions of higher education in Norwa...
Paired t-tests were used to examine changes in the subscales practice, retrieving/reviewing, sharing/applying, attitudes and total scale for the Student Evidence-Based Practice Questionnaire from befo...
The analysis showed that the nursing students significantly increased in the three subscales practice, retrieving/reviewing, and sharing/applying, in addition to the total scale for the questionnaire,...
The results indicate that writing the bachelor's thesis leads to increased learning about evidence-based practice and does not depend on the kind of thesis the students write....
The question of whether finger use should be encouraged or discouraged in early mathematics instruction remains a topic of debate. Scientific evidence on this matter is scarce due to the limited numbe...
DBS entails the insertion of an electrode into the patient brain, enabling Subthalamic nucleus (STN) stimulation. Accurate delineation of STN borders is a critical but time-consuming task, traditional...
A novel STN detection system, integrating LFP and wavelet packet transform (WPT) with stacking ensemble learning, is developed. Initial steps involve the inclusion of soft thresholding to increase rob...
Results reveal that the proposed model achieved a remarkable accuracy and F1-score of 89.49% and 91.63%....
Ensemble model demonstrated superior performance when compared to standalone base models and existing meta techniques....
This framework is envisioned to enhance the efficiency of DBS surgery and reduce the reliance on clinician experience for precise STN detection. This achievement is strategically significant to serve ...
