Biomedical Image Segmentation

This project focuses on developing advanced machine learning and computer vision techniques for accurate segmentation of biomedical images, including 2D and 3D datasets. The goal is to enable automated extraction of anatomical structures to support scientific discovery, clinical decision-making, and large-scale biological data analysis.

A in-house developed Digital Twin: https://projects.smreza.com/zebrafish-digital-twin/

A in-house developed Zebrafish Atlas: https://projects.smreza.com/zebrafish-atlas/

Two Lab Students Receive MCREU for Summer 2026

Two students from the Data‑Driven Decision Making (D3M) Lab have been selected for the Multi‑Campus…