The new study, conducted in collaboration across multiple institutions, lays out a generalist medical AI model, BiomedGPT, to support multiple potential clinical applications. By evaluating on 25 datasets across 9 biomedical tasks and different modalities, BiomedGPT achived 16 state-of-the-art results.
Upcoming AHA Scientific Session 2024 Presentation!
We are excited to share that our work “Adaptation of Prompt-enabled Segment-Anything-Model Enhance the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation” by Zhennong Chen, Sekeun Kim, Hui Ren and Xiang Li has been accepted for presentation at American
Can AI solve the clinical data problem?
CAMCA’s, Xiang Li and Quanzheng Li, recently collaborated with Daniel Barron to create a blog post for Science. This paper discusses how, AI can help clinical data analytics across different stages of the healthcare lifecycle and in various roles. Insights
Siyeop Yoon, 3 papers accepted at the MICCAI 2024 main conference!
We are pleased to share that three of Siyeop Yoon’s papers have been accepted at the MICCAI 2024 main conference! MICCAI is one of the most respected conferences in the field of medical image analysis. 1. “Efficient Volumetric Conditional Score-based
CAMCA’s Newest Publication “Texture-preserving low dose CT image denoising using Pearson divergence”
Our latest paper, “Texture-preserving low dose CT image denoising using Pearson divergence” introduces a novel approach to enhance texture in low-dose CT images. Previous methods using MSE often had over-smoothed edges and degradation of texture in images, but our proposed
Matthew Tivnan, Early acceptance to MICCAI 2024 for “Hallucination Index: An Image Quality Metric for Generative Reconstruction Models”.
CAMCA Investigator, Matthew Tivnan, got an early acceptance to MICCAI 2024 for his work titled “Hallucination Index: An Image Quality Metric for Generative Reconstruction Models”. The key innovation in this work is to define what hallucinations ARE by defining what
2024 Sejong Science Fellowship Awarded to Post Doc at CAMCA!
Yujin Oh has been awarded the prestigious 2024 Sejong Science Fellowship by the Ministry of Science and ICT (MSIT) in Korea. This fellowship is awarded to outstanding young investigators in Korea. She will receive approximately $50,000 USD for one year
MMMI/ML4MHD Workshop
This year, we’re thrilled to announce the continuation of the MICCAI workshop on Multiscale Multimodal Medical Imaging (MMMI 2024), alongside the 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data (ML4MHD 2024). For more information click this link: https://mmmi2024.github.io Thank
CAMCA’s Latest Research Paper “Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via an End-to-End Deep Learning Approach”
Are you encountering challenges when using 2D Cardiac MR slices for 3D Cardiac analysis? Here are two major hurdles: 1. Slice thickness (usually 8-10mm) results in missing data between neighboring slices.2. Misalignment between slices due to motion. These issues impact
CAMCA’s Xiang Li and Quanzheng Li Recipient for Google Research Scholar Program!
Thrilled to share that Xiang Li and Quanzheng Li have been selected as a recipient for the prestigious Google Research Scholar Program! This recognition highlights our commitment to advancing healthcare through innovative research. Grateful for the opportunity and excited to