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.
Engineering team develops system to segment, track cells from images
A Mizzou Engineering team won a Best Paper Award at an international workshop for work around detecting and tracking cells in microscopy videos.
Mizzou Engineer develops software tool to investigate root growth
A Mizzou Engineer has developed a software tool that could enable farmers to develop crop cultivars that are drought resistant, ensuring roots can reach falling water tables, adapt to warmer temperatures and be more resilient to environmental changes.
Mizzou Engineering team takes third at Guess the Age competition
A Mizzou Engineering team took third place at the Guess the Age contest, part of the biannual 19th International Conference on Computer Analysis of Images and Patterns held in Cyprus.
Mizzou Engineering paper among IEEE top 10 featured articles
A Mizzou Engineer's paper was selected as a Featured Article in the Institute of Electrical and Electronics Engineers Transactions on Image Processing.
Mizzou Engineer develops way for robots to navigate complex spaces
A Mizzou Engineer has developed a new way to help robots better navigate complicated environments.
Machines Can Explain Decisions Through Images, Researchers Find
Machines have the ability to tell humans why they made a decision based on how they prioritize features of what they see. That’s the take-away from a paper Mizzou Engineers have had accepted to an international conference this summer.
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.
Mapping the Cities of the World One Building at a Time from Space
A group of four computer science PhD students in the Computational Imaging and VisAnalysis Lab at Mizzou Engineering took the top spot in the graduate student category at the 24th Conference on Neural and Information Processing Systems SpaceNet 7 competition.
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.