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.

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Showing physics.med-phShow all

5 papers · 1 filter

physics.med-ph2025★ 3 cited

3D Single-shot CEST imaging at 3T Based on True FISP Readout

Yupeng Wu, Qifan Pang, Zhichao Wang +9

To simultaneously fit multiple-pool effects, spectrally selective 3D CEST imaging typically requires single-shot readouts to save time. However, to date, FLASH and EPI have been th…

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…

physics.med-ph2019★ 133 cited

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

Peng Bao, Wenjun Xia, Kang Yang +9

Over the past few years, dictionary learning (DL)-based methods have been successfully used in various image reconstruction problems. However, traditional DL-based computed tomogra…

physics.med-ph2018★ 112 cited

Combining Many-objective Radiomics and 3-dimensional Convolutional Neural Network through Evidential Reasoning to Predict Lymph Node Metastasis in Head and Neck Cancer

Liyuan Chen, Zhiguo Zhou, David Sher +5

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimizati…

physics.med-ph2018★ 2 cited

Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

Maosong Ran, Jinrong Hu, Yang Chen +4

Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis. Over the past few years, many algorithms with impressive p…