1.1k citations · 2k across the 46 of their papers we have counts for
5 papers · 1 filter
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image
Yuanqi Du, Quan Quan, Hu Han +1
Pseudo-normality synthesis, which computationally generates a pseudo-normal image from an abnormal one (e.g., with lesions), is critical in many perspectives, from lesion detection…
Conditional Training with Bounding Map for Universal Lesion Detection
Han Li, Long Chen, Hu Han +1
Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis. Promising ULD results have been reported by coarse-to-fine two-stage de…
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Yuanyuan Lyu, Jiajun Fu, Cheng Peng +1
Recently, both supervised and unsupervised deep learning methods have been widely applied on the CT metal artifact reduction (MAR) task. Supervised methods such as Dual Domain Netw…
One-Shot Medical Landmark Detection
Qingsong Yao, Quan Quan, Li Xiao +1
The success of deep learning methods relies on the availability of a large number of datasets with annotations; however, curating such datasets is burdensome, especially for medica…
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou, Hoang Ngan Le, Khoa Luu +2
Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative powe…