1.1k citations · 3.2k across the 78 of their papers we have counts for
10 papers · 1 filter
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
Tao Tu, Shun-Po Chuang, Yu-Lun Liu +5
We propose ImGeoNet, a multi-view image-based 3D object detection framework that models a 3D space by an image-induced geometry-aware voxel representation. Unlike previous methods…
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Ke Zhang, Yan Yang, Jun Yu +4
In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) met…
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation
Ke Zhang, Xiahai Zhuang
Curating a large scale fully-annotated dataset can be both labour-intensive and expertise-demanding, especially for medical images. To alleviate this problem, we propose to utilize…
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation
Ke Zhang, Xiahai Zhuang
Partially-supervised learning can be challenging for segmentation due to the lack of supervision for unlabeled structures, and the methods directly applying fully-supervised learni…
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
Ke Zhang, Xiahai Zhuang
Cardiac segmentation is an essential step for the diagnosis of cardiovascular diseases. However, pixel-wise dense labeling is both costly and time-consuming. Scribble, as a form of…
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
Xuxin Chen, Ximin Wang, Ke Zhang +7
This study aims to develop a novel computer-aided diagnosis (CAD) scheme for mammographic breast mass classification using semi-supervised learning. Although supervised deep learni…
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang +7
Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a va…
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Ke Zhang, Yukun Su, Xiwang Guo +2
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute…
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Yurong Guo, Xinsheng Wang +4
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. Many image classification studies use dee…
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Xinsheng Wang, Yurong Guo +3
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. A lot of studies of image classification…