Publications by authors named "G Sunil"
Article Synopsis
- Scholarly publishing is essential for sharing research globally, but researchers face numerous challenges in the evolving publication process, which need further investigation.
- A study of 759 research projects at a South Indian healthcare center revealed a low completion rate (36.72%) and even lower publication rate (34.24%), especially among resident authors.
- Factors influencing publication include academic interest and research goals, but obstacles like study design and journal selection hinder progress; notably, most researchers (98.4%) wish to publish more, indicating a demand for support in this area.
Background: Graph representational learning can detect topological patterns by leveraging both the network structure as well as nodal features. The basis of our exploration involves the application of graph neural network architectures and machine learning to resting-state functional Magnetic Resonance Imaging (rs-fMRI) data for the purpose of detecting schizophrenia. Our study uses single-site data to avoid the shortcomings in generalizability of neuroimaging data obtained from multiple sites.
View Article and Find Full Text PDFAn osteoid osteoma (OO) is a benign bone neoplasm, characterized by significant nocturnal pain that usually responds to nonsteroidal anti-inflammatory drugs. It occurs most commonly in the lower extremities and vertebrae. Here, we present a case of carcinoma prostate, who was referred to our department for 68 Ga-PSMA PET/CT scan, and we incidentally found out PSMA-avid OO involving frontal bone of skull, which is a rare finding.
View Article and Find Full Text PDFAim And Objective: The objective of this study was to assess and compare the dimensions (width (W), height (H), and length (L)) of the tuberosity distal to maxillary permanent second molar in individuals with skeletal and dental Class I and Class II malocclusions who had maxillary third molar agenesis.
Methodology: Cone beam computed tomography (CBCT) was used to measure the left (L) and right (R) anatomical tuberosity dimensions in three dimensions using the WillMaster software (HDX WILL Corporation, Korea). The measurements were compared between Class I (n = 35) and Class II (n = 35) normo-hypodivergent adult subjects.