output
20172026
most citedLow Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

1.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

7 papers · 1 filter

cs.AI2021★ 12 cited

Logical Assessment Formula and Its Principles for Evaluations with Inaccurate Ground-Truth Labels

Yongquan Yang

Evaluations with accurate ground-truth labels (AGTLs) have been widely employed to assess predictive models for artificial intelligence applications. However, in some specific fiel…

cs.LG2021★ 18 cited

One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer

Yongquan Yang, Fengling Li, Yani Wei +4

Recent studies have demonstrated the effectiveness of the combination of machine learning and logical reasoning, including data-driven logical reasoning, knowledge driven machine l…

cs.CV2021★ 2 cited

SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation

Hong-Yu Zhou, Chengdi Wang, Haofeng Li +4

Semi-Supervised classification and segmentation methods have been widely investigated in medical image analysis. Both approaches can improve the performance of fully-supervised met…

cs.CV2021★ 102 cited

SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching

Xiangde Luo, Tao Song, Guotai Wang +5

Lung nodule detection from 3D Computed Tomography scans plays a vital role in efficient lung cancer screening. Despite the SOTA performance obtained by recent anchor-based detector…

cs.CV2021★ 10 cited

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Bo Liu, Li-Ming Zhan, Li Xu +3

Medical visual question answering (Med-VQA) has tremendous potential in healthcare. However, the development of this technology is hindered by the lacking of publicly-available and…

physics.med-ph2021★ 51 cited

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction

Tao Wang, Wenjun Xia, Yongqiang Huang +5

Metal implants can heavily attenuate X-rays in computed tomography (CT) scans, leading to severe artifacts in reconstructed images, which significantly jeopardize image quality and…

eess.IV2021★ 42 cited

UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

Ru Li, Chuan Wang, Jue Wang +4

The paper proposes a method to effectively fuse multi-exposure inputs and generate high-quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based HDR imag…