331 citations · 1.9k across the 20 of their papers we have counts for
16 papers · 1 filter
Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Ziniu Qian, Kailu Li, Maode Lai +4
Hispathological image segmentation algorithms play a critical role in computer aided diagnosis technology. The development of weakly supervised segmentation algorithm alleviates th…
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng +4
Numerous task-specific variants of conditional generative adversarial networks have been developed for image completion. Yet, a serious limitation remains that all existing algorit…
Microscopic fine-grained instance classification through deep attention
Mengran Fan, Tapabrata Chakrabort, Eric I-Chao Chang +2
Fine-grained classification of microscopic image data with limited samples is an open problem in computer vision and biomedical imaging. Deep learning based vision systems mostly d…
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Shengyu Zhao, Yilun Sheng, Yue Dong +2
Feature warping is a core technique in optical flow estimation; however, the ambiguity caused by occluded areas during warping is a major problem that remains unsolved. In this pap…
Recursive Cascaded Networks for Unsupervised Medical Image Registration
Shengyu Zhao, Yue Dong, Eric I-Chao Chang +1
We present recursive cascaded networks, a general architecture that enables learning deep cascades, for deformable image registration. The proposed architecture is simple in design…
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Shengyu Zhao, Tingfung Lau, Ji Luo +2
3D medical image registration is of great clinical importance. However, supervised learning methods require a large amount of accurately annotated corresponding control points (or…