Exciting Research Accepted at NeurIPS 2023: Scientists Address Critical Issue in Medical Imaging
In a breakthrough for the field of medical imaging, researchers from the “TOGAI” lab at NAAMII, Mahesh Shakya and Bishesh Khanal, Ph.D., have received recognition for their outstanding work. Their paper titled “Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction” has been accepted at NeurIPS 2023, a prestigious scientific venue for research articles.
Challenging a Critical Issue
The groundbreaking research aims to tackle a critical issue in medical imaging – the lack of proper comparison between different AI methods for obtaining 3D images from X-rays. While scientists worldwide have developed AI solutions for converting X-rays into 3D images, these methods have rarely been compared to determine the most effective ones. This lack of standardization has hindered progress in this vital area of medical technology.
Promising Impact on Healthcare
Shakya and Khanal’s work holds great promise for the future of medical imaging. The development of accurate and efficient methods for 3D reconstruction from X-ray images could help overcome the challenge of accessing CT scans in remote and suburban areas. By providing the means to obtain 3D images from X-ray scans, their research may significantly improve medical diagnostics and patient care in underserved regions.
Access the Full Paper
For those interested in the details of their research, the complete paper can be found at this link. It offers an in-depth exploration of the methodologies and findings that earned recognition at NeurIPS 2023.
Learn More About the Project
To gain a better understanding of the project’s scope and objectives, visit the NAAMII website at https://www.naamii.org.np/projects/3d-reconstruction-from-biplanar-x-ray/.