Biologically Inspired Medical Multi-Modal Dataset Distillation via Contrast-Aware Alignment and Memory Compression
Taoli Du, Ziming Wang, Yue Wang, Ming Ma, Wenhui Li · 2026
Read Biologically Inspired Medical Multi-Modal Dataset Distillation via Contrast-Aware Alignment and Memory Compression by Taoli Du, Ziming Wang, Yue Wang, Ming Ma, Wenhui Li (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13204330.txt.
Description
Taoli Du, Ziming Wang, Yue Wang, Ming Ma, and Wenhui Li present a 2026 paper on shrinking large medical scan data sets into small synthetic ones that still teach AI well. Brain MRI in several modes gives rich diagnostic clues, but storing it is costly, labels are dear, and privacy rules bite.
Their framework takes its cue from biology. Eyes and ears give matching views of one world, and the brain squeezes past experience into compact memory. The method lines up the scan modes with a contrast aware step, then compresses them into a small set. The goal is a distilled set that keeps the diagnostic signal at a fraction of the size.
Catalog record
| CREATOR | Taoli Du, Ziming Wang, Yue Wang, Ming Ma, Wenhui Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |