115 citations · 128 across the 5 of their papers we have counts for
5 papers
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Tianling Liu, Wennan Liu, Lequan Yu +3
Preoperative and noninvasive prediction of the meningioma grade is important in clinical practice, as it directly influences the clinical decision making. What's more, brain invasi…
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing, Lequan Yu, Liang Wan +2
Multi-modal MR imaging is routinely used in clinical practice to diagnose and investigate brain tumors by providing rich complementary information. Previous multi-modal MRI segment…
You Should Look at All Objects
Zhenchao Jin, Dongdong Yu, Luchuan Song +2
Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-sc…
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
Xin Yang, Lequan Yu, Lingyun Wu +4
Boundary incompleteness raises great challenges to automatic prostate segmentation in ultrasound images. Shape prior can provide strong guidance in estimating the missing boundary,…
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Hao Chen, Qi Dou, Lequan Yu +1
Recently deep residual learning with residual units for training very deep neural networks advanced the state-of-the-art performance on 2D image recognition tasks, e.g., object det…