24 citations · 28 across the 6 of their papers we have counts for
6 papers
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
Yanglan Ou, Ye Yuan, Xiaolei Huang +4
We present a new encoder-decoder Vision Transformer architecture, Patcher, for medical image segmentation. Unlike standard Vision Transformers, it employs Patcher blocks that segme…
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
Yanglan Ou, Ye Yuan, Xiaolei Huang +4
Diffusion-weighted (DW) magnetic resonance imaging is essential for the diagnosis and treatment of ischemic stroke. DW images (DWIs) are usually acquired in multi-slice settings wh…
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff
Vincent Pisztora, Yanglan Ou, Xiaolei Huang +2
In this paper we propose -Consistent Mixup (mu). mu is a data-based structural regularization technique that combines Mixup's linear interpolation with consistency regular…
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou +1
Predicting accurate future trajectories of multiple agents is essential for autonomous systems, but is challenging due to the complex agent interaction and the uncertainty in each…
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network
Yanglan Ou, Yuan Xue, Ye Yuan +4
Cervical cancer is the second most prevalent cancer affecting women today. As the early detection of cervical carcinoma relies heavily upon screening and pre-clinical testing, digi…
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
Binxuan Huang, Yanglan Ou, Kathleen M. Carley
Aspect-level sentiment classification aims to identify the sentiment expressed towards some aspects given context sentences. In this paper, we introduce an attention-over-attention…