Congratulations to Computer Science PhD graduate Karl Marrett (supervised by Prof. Jason Cong) for winning the Best Student Paper Award titled “Gossamer: Scaling Image Processing and Reconstruction to Whole Brains” at Brain Informatics ’24, the principal conference at the intersection of AI and brain imaging.  This work is based on interdisciplinary research between UCLA Computer Science (led by Prof. Jason Cong) and Medicine (led by Professors William Yang and Hongwei Dong), and produced an efficient segmentation platform of long-range, fine-grained cells amid terabyte scale 3D images.  The team also published another paper titled “High Throughput Training Label Generation from Whole Brain Images”, also presented by Karl. 

The International Conference on Brain Informatics (BI) series has established itself as the world’s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research.