32 citations · 33 across the 4 of their papers we have counts for
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Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation
Dafei Qiu, Shan Xiong, Jiajin Yi +1
Accurate segmentation of organelle instances from electron microscopy (EM) images plays an essential role in many neuroscience researches. However, practical scenarios usually suff…
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy
Dafei Qiu, Jiajin Yi, Jialin Peng
Accurate segmentation of organelle instances, e.g., mitochondria, is essential for electron microscopy analysis. Despite the outstanding performance of fully supervised methods, th…
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
Zhimin Yuan, Xiaofen Ma, Jiajin Yi +2
Semantic segmentation of electron microscopy (EM) is an essential step to efficiently obtain reliable morphological statistics. Despite the great success achieved using deep convol…
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images
Jiajin Yi, Zhimin Yuan, Jialin Peng
Semantic segmentation is an essential step for electron microscopy (EM) image analysis. Although supervised models have achieved significant progress, the need for labor intensive…