Computer Vision

Oct. 25, 2023

Engineering team places first, third at inaugural segmentation challenge

A Mizzou Engineering team took first and third place at a new competition aimed to advance methods to not only detect but also trace the 3D shape of a specific type of brain lesion in newborns. The BONBID-HIE Lesion Segmentation Challenge was part of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) and sponsored by Boston Children’s Hospital and its Fetal-Neonatal Neuroimaging Developmental Science Center and Harvard Medical School.
Large mass of waterfowl standing in water, photographed from the sky.

March 26, 2021

Research Team Training AI to Better Detect Small Objects Shang working with Missouri

Artificial Intelligence (AI) is good at recognizing a single bird in an image. Where it falls short is when it tries to identify hundreds of tiny birds in an aerial photo. Professor Yi Shang and his research team have been working for three years to see where AI can improve its vision when it comes to small objects.
Image looking inside carbon nanotube.

June 18, 2020

Mizzou Team to Use AI to Grow Carbon Nanotubes in Mass Quantities

A team of Mizzou Engineers is turning to artificial intelligence (AI) to help grow and control large quantities of carbon nanotubes—tiny, cylinder-shaped molecules made of rolled sheets of carbon. Using AI is a novel approach to mass producing them, a problem that has plagued scientists for decades. Now, the National Science Foundation is backing the idea with an award funding the group’s research for three years.