Led by Andrew Hoopes (ahoopes.github.io), also with Victor Butoi, John Guttag and myself.
At @csail.mit.edu and the The MGH/HST Martinos Center for Biomedical Imaging
This flexible framework excels across many neuroimaging tasks, enabling a wide range of clinical and research goals.
A core technical contribution is jointly learning the language-based agent with the adaptive vision network, which leads to a powerful mechanism for flexibly addressing complex analytical targets.
Clinicians and scientists face a broad range of analytical imaging aims, yet most AI medical imaging tools used in practice are designed for narrow, predefined computational goals and data modalities.