8 citations · 13 across the 9 of their papers we have counts for
9 papers
Semantic-Aware Transformation-Invariant RoI Align
Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao +3
Great progress has been made in learning-based object detection methods in the last decade. Two-stage detectors often have higher detection accuracy than one-stage detectors, due t…
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Haomiao Ni, Yuan Xue, Kelvin Wong +4
Accurate infarct segmentation in non-contrast CT (NCCT) images is a crucial step toward computer-aided acute ischemic stroke (AIS) assessment. In clinical practice, bilateral symme…
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…
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Jiarong Ye, Yuan Xue, Peter Liu +3
Generative models have been applied in the medical imaging domain for various image recognition and synthesis tasks. However, a more controllable and interpretable image synthesis…
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
Tongan Cai, Haomiao Ni, Mingli Yu +5
In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical…
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
Yuan Xue, Yuan-Chen Guo, Han Zhang +3
In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have…
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…
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…