GitHub

[CVPR 2026] IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation

IBISAgent is a novel agentic Multimodal Large Language Model (MLLM) framework designed to address the limitations of existing medical MLLMs in fine-grained pixel-level understanding. unlike previous ...
Scientific Research Publishing

Research on the Identification Method of Fluvial Sandstone Reservoirs Based on U-Net Networks ()

With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial sandstone ...
ahajournals.org

3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D

Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed ...
Frontiers

Medical Image Segmentation Algorithm for Three-Dimensional Multimodal Using Deep Reinforcement Learning and Big Data Analytics

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...
Frontiers

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features

Accurate segmentation of different sub-regions of gliomas such as peritumoral edema, necrotic core, enhancing, and non-enhancing tumor core from multimodal MRI scans has important clinical relevance ...
PNAS

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning

Two-photon calcium imaging is a standard technique of neuroscience laboratories that records neural activity from individual neurons over large populations in awake-behaving animals. Automatic and ...