13 citations · 15 across the 3 of their papers we have counts for
4 papers
NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation
Haiyang Yan, Jinyue Guo, Yanchao Zhang +6
Accurate 3D neuron segmentation in fluorescence microscopy is critical for neuroscience. However, the sparse and elongated morphology of neurons poses significant challenges to exi…
NeuroMamba: Multi-Perspective Feature Interaction with Visual Mamba for Neuron Segmentation
Liuyun Jiang, Yizhuo Lu, Yanchao Zhang +2
Neuron segmentation is the cornerstone of reconstructing comprehensive neuronal connectomes, which is essential for deciphering the functional organization of the brain. The irregu…
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
Zejin Wang, Jiazheng Liu, Hao Zhai +1
Self-supervised blind denoising for Poisson-Gaussian noise remains a challenging task. Pseudo-supervised pairs constructed from single noisy images re-corrupt the signal and degrad…
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Zejin Wang, Jiazheng Liu, Guoqing Li +1
Real noisy-clean pairs on a large scale are costly and difficult to obtain. Meanwhile, supervised denoisers trained on synthetic data perform poorly in practice. Self-supervised de…