Hongming Shan
Orcid: 0000-0002-0604-3197
According to our database1,
Hongming Shan
authored at least 110 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization.
IEEE Trans. Medical Imaging, February, 2024
IEEE CAA J. Autom. Sinica, February, 2024
Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information.
Medical Image Anal., January, 2024
Frontiers Inf. Technol. Electron. Eng., January, 2024
2023
IEEE CAA J. Autom. Sinica, September, 2023
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography.
Artif. Intell. Medicine, August, 2023
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Learning Representation for Clustering Via Prototype Scattering and Positive Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization.
Comput. Biol. Medicine, April, 2023
M<sub>3</sub>NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising.
IEEE Trans. Medical Imaging, March, 2023
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey.
IEEE Signal Process. Mag., March, 2023
Remote. Sens., March, 2023
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting.
Frontiers Inf. Technol. Electron. Eng., February, 2023
CoRR, 2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Fan-Net: Fourier-Based Adaptive Normalization for Cross-Domain Stroke Lesion Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Image Process., 2022
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising.
IEEE Trans. Instrum. Meas., 2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks.
Patterns, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results.
Patterns, 2022
IEEE CAA J. Autom. Sinica, 2022
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition.
CoRR, 2022
Site Generalization: Stroke Lesion Segmentation on Magnetic Resonance Images from Unseen Sites.
CoRR, 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting.
CoRR, 2022
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain.
CoRR, 2022
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Inf. Forensics Secur., 2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising.
CoRR, 2021
Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm.
Comput. Biol. Medicine, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Computational Imaging, 2020
Mach. Learn. Sci. Technol., 2020
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.
Medical Image Anal., 2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography.
CoRR, 2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction.
CoRR, 2020
CoRR, 2020
Sci. China Inf. Sci., 2020
Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction.
IEEE Access, 2020
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
IEEE Trans. Inf. Forensics Secur., 2019
Framework of Randomized Distribution Features for Visual Representation and Categorization.
IEEE Trans. Cybern., 2019
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.
Nat. Mach. Intell., 2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data.
CoRR, 2019
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data.
CoRR, 2019
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach.
CoRR, 2019
Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging.
CoRR, 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.
IEEE Access, 2019
2018
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network".
IEEE Trans. Medical Imaging, 2018
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
CoRR, 2018
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network.
CoRR, 2018
IEEE Access, 2018
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
2016
Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction.
IEEE Trans. Cybern., 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016