10 citations · 17 across the 9 of their papers we have counts for
5 papers · 1 filter
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment
Tianyi Liu, Zhaorui Tan, Muyin Chen +3
Brain tumor segmentation is often based on multiple magnetic resonance imaging (MRI). However, in clinical practice, certain modalities of MRI may be missing, which presents a more…
Generalized W-Net: Arbitrary-style Chinese Character Synthesization
Haochuan Jiang, Guanyu Yang, Fei Cheng +1
Synthesizing Chinese characters with consistent style using few stylized examples is challenging. Existing models struggle to generate arbitrary style characters with limited examp…
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks
Haochuan Jiang, Guanyu Yang, Kaizhu Huang +1
Due to the huge category number, the sophisticated combinations of various strokes and radicals, and the free writing or printing styles, generating Chinese characters with diverse…
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets
Tianyi Liu, Zhaorui Tan, Kaizhu Huang +1
Medical image segmentation presents the challenge of segmenting various-size targets, demanding the model to effectively capture both local and global information. Despite recent e…
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners
Tianyi Liu, Size Hou, Jiayuan Zhu +2
Thanks to the capacity for long-range dependencies and robustness to irregular shapes, vision transformers and deformable convolutions are emerging as powerful vision techniques of…