We introduce SegNeuron, a generalist model for dense neuron instance segmentation with customized strategies, including pretraining via multi-scale Gaussian mask reconstruction, domain-mixing finet...

We introduce SAEM2-SAvEM3 pipeline for general-purpose neuron reconstruction, which extends general-purpose auxiliary tasks for SAM and lifts into the 3D U-Net by full-stage distillation.

We introduce the Dynamic Snake Convolution to extract more effective features for the sparse tubular structure of neurons and propose a easily implementable morphology-based loss function to penali...

With the comparative advantage of generalization, our proposed InteBOMB workflow integrates generic object tracking into top-down approaches, not needing to know the animal as a priori.

We propose an improved pipeline for cost-effective neuron segmentation by integrating selective labeling and semi-supervised training.

With the priori knowledge of cellular characteristics and ultrastructures, our proposed method (II-CATS) utilizes few-shot learning techniques to encode the internal neurite representation and its ...

GitHub repository: https://github.com/JackieZhai/awesome-vem-datasets.

We develop an AI-based multi-species tracking and segmentation system, SiamBOMB, for real-time and automatic home-cage animal behavioral analysis.