Hongming Shan

发表

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction pdf

Hongming Shan, Atul Padole, Fatemeh Homayounieh, 2018, Nature Machine Intelligence.

MRI Super-Resolution With Ensemble Learning and Complementary Priors

Hongming Shan, Ge Wang, Qing Lyu, 2020, IEEE Transactions on Computational Imaging.

Look Globally, Age Locally: Face Aging With an Attention Mechanism

Hongming Shan, Haiping Zhu, Junping Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Hongming Shan, Mannudeep K. Kalra, Ge Wang, 2018, IEEE Transactions on Medical Imaging.

3D Few-View CT Image Reconstruction with Deep Learning

Hongming Shan, Ge Wang, Huidong Xie, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops).

Crowd Counting With Limited Labeling Through Submodular Frame Selection

James Z. Wang, Hongming Shan, Qi Zhou, 2019, IEEE Transactions on Intelligent Transportation Systems.

PFA-GAN: Progressive Face Aging With Generative Adversarial Network pdf

Hongming Shan, Junping Zhang, Zhizhong Huang, 2020, IEEE Transactions on Information Forensics and Security.

Shamap: Shape-based Manifold Learning pdf

Hongming Shan, Ge Wang, Fenglei Fan, 2018, ArXiv.

Framework of Randomized Distribution Features for Visual Representation and Categorization

Uwe Kruger, Hongming Shan, Junping Zhang, 2019, IEEE Transactions on Cybernetics.

Super-resolution MRI and CT through GAN-CIRCLE

Hongming Shan, Ge Wang, Chenyu You, 2019, Developments in X-Ray Tomography XII.

Deep Ordinal Regression Forests

Jianbo Shi, Hongming Shan, Haiping Zhu, 2020 .

A dual-stream deep convolutional network for reducing metal streak artifacts in CT images

Bruno De Man, Hongming Shan, Ge Wang, 2019, Physics in medicine and biology.

Precipitation Nowcasting with Star-Bridge Networks

Hongming Shan, Yuan Cao, Leiming Ma, 2019 .

Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging pdf

Hongming Shan, Ruola Ning, Wenxiang Cong, 2019, Developments in X-Ray Tomography XII.

Maximum contributed component regression for the inverse problem in optical scatterometry.

Hongming Shan, Haiping Zhu, Youngjoo Lee, 2017, Optics express.

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network pdf

Hongming Shan, Ge Wang, Yibin Xie, 2020, ArXiv.

Multi-Contrast Super-Resolution MRI Through a Progressive Network

Hongming Shan, Ge Wang, Qing Lyu, 2019, IEEE Transactions on Medical Imaging.

Low-Dimensional Manifold-Constrained Disentanglement Network for Metal Artifact Reduction pdf

Hongming Shan, Wenxiang Cong, Chuang Niu, 2020, IEEE Transactions on Radiation and Plasma Medical Sciences.

Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules

Hongming Shan, Haiping Zhu, Yiming Lei, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep adversarial network for super stimulated emission depletion imaging

Hongming Shan, Ge Wang, Mengzhou Li, 2020, Journal of Nanophotonics.

A two-dimensional feasibility study of deep learning-based feature detection and characterization directly from CT sinograms.

Bruno De Man, Hongming Shan, Paul Fitzgerald, 2019, Medical physics.

Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction

Hongming Shan, Ruola Ning, Wenxiang Cong, 2020, IEEE Access.

A novel transfer learning framework for low-dose CT

Uwe Kruger, Hongming Shan, Ge Wang, 2019, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.

Deep learning for accelerating Monte Carlo radiation transport simulation in intensity-modulated radiation therapy

Hongming Shan, Jieping Zhou, Ge Wang, 2019 .

Multi-Task GANs for View-Specific Feature Learning in Gait Recognition

Hongming Shan, Junping Zhang, Liang Wang, 2019, IEEE Transactions on Information Forensics and Security.

Deep learning methods for CT image-domain metal artifact reduction

Bruno De Man, Hongming Shan, Ge Wang, 2017, Optical Engineering + Applications.

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography pdf

Pingkun Yan, Hongming Shan, Ruhani Doda Khera, 2020, Nature communications.

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Uwe Kruger, Yi Zhang, Hongming Shan, 2018, IEEE Transactions on Medical Imaging.

Quadratic Autoencoder for Low-Dose CT Denoising pdf

Hongming Shan, Ge Wang, Fenglei Fan, 2019, ArXiv.

Synergizing medical imaging and radiotherapy with deep learning

Pingkun Yan, Hongming Shan, Yunyao Li, 2020, Mach. Learn. Sci. Technol..

Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction

Hongming Shan, Uwe Krüger, Junping Zhang, 2016, IEEE Transactions on Cybernetics.

Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping

Hongming Shan, Junping Zhang, Ge Wang, 2020, Medical Image Anal..

Group Information-Based Dimensionality Reduction via Canonical Correlation Analysis

Hongming Shan, Haiping Zhu, Qi Zhou, 2016, ICONIP.

Low-dose CT simulation with a generative adversarial network

Xun Jia, Uwe Kruger, Hongming Shan, 2019 .

MCDNet – A Denoising Convolutional Neural Network to Accelerate Monte Carlo Radiation Transport Simulations: A Proof of Principle With Patient Dose From X-Ray CT Imaging

Hongming Shan, Ge Wang, Zhao Peng, 2019, IEEE Access.

A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep Multi-Organ Segmentation Algorithms and GPU-accelerated Monte Carlo Dose Computing Code

Pingkun Yan, Hongming Shan, Ge Wang, 2019, 1908.00360.

Deep-learning-based Breast CT for Radiation Dose Reduction pdf

Hongming Shan, Ruola Ning, Wenxiang Cong, 2019, Developments in X-Ray Tomography XII.

Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data pdf

Hongming Shan, Ruola Ning, Wenxiang Cong, 2019, ArXiv.

Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising

Hongming Shan, Mannudeep K. Kalra, Yueyang Teng, 2019, IEEE Transactions on Medical Imaging.

Ordinal distribution regression for gait-based age estimation

Hongming Shan, Haiping Zhu, Junping Zhang, 2019, Science China Information Sciences.

Deep Encoder-Decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-View Data

Hongming Shan, Ge Wang, Huidong Xie, 2019, Bioengineering.

Deep learning based CT thermometry for thermal tumor ablation

Pingkun Yan, Hongming Shan, Mengzhou Li, 2019, Developments in X-Ray Tomography XII.

Quadratic neural networks for CT metal artifact reduction

Hongming Shan, Ge Wang, Lars Gjesteby, 2019 .

Stabilizing Deep Tomographic Reconstruction Networks pdf

Hongming Shan, Wenxiang Cong, Weiwen Wu, 2020, ArXiv.

Population Density-Based Hospital Recommendation with Mobile LBS Big Data

Yuan Cao, Hongming Shan, Ye Zhou, 2017, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach

Hongming Shan, Yang Yang, Ge Wang, 2019, Optical Engineering + Applications.

Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography

Hongming Shan, Ge Wang, Yang Yang, 2019, Applied Sciences.

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising pdf

Hongming Shan, Ming Li, Yueyang Teng, 2019, ArXiv.

Randomized Distribution Feature for Image Classification

Hongming Shan, Junping Zhang, Junping Zhang, 2016, ECAI.

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

Uwe Kruger, Hongming Shan, Atul Padole, 2019, Nat. Mach. Intell..

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

Hongming Shan, Zhizhong Huang, Junping Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows pdf

Hongming Shan, Junping Zhang, Zhizhong Huang, 2021, IJCAI.

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

Hongming Shan, Yueyang Teng, Yu Gong, 2021, IEEE Transactions on Radiation and Plasma Medical Sciences.

DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising pdf

Hongming Shan, Junping Zhang, Yi Zhang, 2021, IEEE Transactions on Instrumentation and Measurement.

Data Augmentation for Training Deep Neural Networks

Hongming Shan, Pingkun Yan, Xi Pei, 2021 .

Routinggan: Routing Age Progression and Regression with Disentangled Learning

Hongming Shan, Zhizhong Huang, Junping Zhang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising pdf

Hongming Shan, Jiliu Zhou, Wenjun Xia, 2021, ArXiv.

Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition

Hongming Shan, Junping Zhang, Yiqun Liu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Meta Ordinal Weighting Net For Improving Lung Nodule Classification

Hongming Shan, Yiming Lei, Junping Zhang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Pingkun Yan, Hongming Shan, Fatemeh Homayounieh, 2020, Nature Communications.

Exploring Non-Contrastive Representation Learning for Deep Clustering pdf

Hongming Shan, Jie Chen, Junping Zhang, 2021, ArXiv.

Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography pdf

Hongming Shan, Lucas R. Borges, Ge Wang, 2021, Artificial Intelligence in Medicine.