Search Results for author: Ce Wang

Found 15 papers, 5 papers with code

FHDe²Net: Full High Definition Demoireing Network

1 code implementation ECCV 2020 Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan

Frequency aliasing in the digital capture of display screens leads to the moir´e pattern, appearing as stripe-shaped distortions in images.

Vocal Bursts Intensity Prediction

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

1 code implementation NeurIPS 2023 Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang

In this work, we present a novel Polychromatic neural representation (Polyner) to tackle the challenging problem of CT imaging when metallic implants exist within the human body.

Metal Artifact Reduction

RetinexFlow for CT metal artifact reduction

no code implementations18 Jun 2023 Jiandong Su, Ce Wang, Yinsheng Li, Kun Shang, Dong Liang

Metal artifacts is a major challenge in computed tomography (CT) imaging, significantly degrading image quality and making accurate diagnosis difficult.

Computed Tomography (CT) Metal Artifact Reduction

Cross-Modal Causal Intervention for Medical Report Generation

2 code implementations16 Mar 2023 Weixing Chen, Yang Liu, Ce Wang, Jiarui Zhu, Guanbin Li, Liang Lin

Medical report generation (MRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating the corresponding medical reports according to the given radiology image.

Medical Report Generation object-detection +1

Active CT Reconstruction with a Learned Sampling Policy

no code implementations3 Nov 2022 Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou

Experiments on the VerSe dataset demonstrate this ability of our sampling policy, which is difficult to achieve based on uniform sampling.

Computed Tomography (CT) Decision Making

Universal Segmentation of 33 Anatomies

no code implementations4 Mar 2022 Pengbo Liu, Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou

Firstly, while it is ideal to learn such a model from a large-scale, fully-annotated dataset, it is practically hard to curate such a dataset.

Image Segmentation Medical Image Segmentation +2

3D endoscopic depth estimation using 3D surface-aware constraints

no code implementations4 Mar 2022 Shang Zhao, Ce Wang, Qiyuan Wang, Yanzhe Liu, S Kevin Zhou

We propose a loss function for depth estimation that integrates the surface-aware constraints, leading to a faster and better convergence with the valid information from spatial information.

Depth Estimation Image Reconstruction +1

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction

no code implementations21 Nov 2021 Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, Yuan Hui, S. Kevin Zhou

While Computed Tomography (CT) reconstruction from X-ray sinograms is necessary for clinical diagnosis, iodine radiation in the imaging process induces irreversible injury, thereby driving researchers to study sparse-view CT reconstruction, that is, recovering a high-quality CT image from a sparse set of sinogram views.

Computed Tomography (CT)

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

no code implementations9 Mar 2021 Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou

More importantly, we show that using such a sinogram extrapolation module significantly improves the generalization capability of the model on unseen datasets (e. g., COVID-19 and LIDC datasets) when compared to existing approaches.

Computed Tomography (CT)

Recursive Training for Zero-Shot Semantic Segmentation

no code implementations26 Feb 2021 Ce Wang, Moshiur Farazi, Nick Barnes

We propose a recursive training scheme to supervise the retraining of a semantic segmentation model for a zero-shot setting using a pseudo-feature representation.

Segmentation Semantic Segmentation +1

First image then video: A two-stage network for spatiotemporal video denoising

1 code implementation2 Jan 2020 Ce Wang, S. Kevin Zhou, Zhiwei Cheng

This two-stage network, when trained in an end-to-end fashion, yields the state-of-the-art performances on the video denoising benchmark Vimeo90K dataset in terms of both denoising quality and computation.

Image Denoising Optical Flow Estimation +1

Label-Removed Generative Adversarial Networks Incorporating with K-Means

no code implementations19 Feb 2019 Ce Wang, Zhangling Chen, Kun Shang

Generative Adversarial Networks (GANs) have achieved great success in generating realistic images.

Metric Learning

Emergent Quantum Mechanics in an Introspective Machine Learning Architecture

no code implementations30 Jan 2019 Ce Wang, Hui Zhai, Yi-Zhuang You

Can physical concepts and laws emerge in a neural network as it learns to predict the observation data of physical systems?

Disordered Systems and Neural Networks Quantum Physics

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