A5005033108- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Advanced Vision and Imaging
- RNA Interference and Gene Delivery
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Ultrasonics and Acoustic Wave Propagation
- Medical Imaging Techniques and Applications
- Magnetic Properties and Applications
- Atomic and Subatomic Physics Research
- Nanoparticle-Based Drug Delivery
- Antimicrobial Peptides and Activities
Lung Institute
2023-2025
The Ohio State University
2023-2025
Institute of Chemical Technology
2022
Savitribai Phule Pune University
2019
Background Contemporary advances in low-field magnetic resonance imaging systems can potentially widen access to cardiovascular (CMR) imaging. We present our initial experience building a comprehensive CMR protocol on commercial 0.55 T system with gradient performance of 26 mT/m amplitude and 45 T/m/s slew rate. To achieve sufficient image quality, we adapted standard techniques when possible, implemented compressed-sensing (CS) based needed an effort compensate for the inherently low...
A noncontrast, electrocardiographically triggered, navigator-gated, three-dimensional, balanced steady-state free precession MR angiography research sequence on a wide-bore 0.55-T system demonstrated reliable performance in qualitative and quantitative measures compared with 1.5 T.
Background: Clinical trials provide evidence of the efficacy and safety experimental treatment regimens. Analysis data from these is a time-intensive process traditionally requiring advanced multidisciplinary expertise in biomedicine, clinical research, biostatistics science. Large language models (LLMs), such as GPT4 (OpenAI) Gemini Advanced (Google), present new opportunities for analysis medical research by leveraging natural understanding interpretation capabilities. Objective: This...