Hongjie Hu
Orcid: 0000-0002-9859-5860
According to our database1,
Hongjie Hu
authored at least 90 papers
between 2008 and 2024.
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Bibliography
2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging, November, 2024
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
IEEE J. Biomed. Health Informatics, August, 2024
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024
Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Hypertension Identification System for Stroke Patients Based on Photoplethysmography Device.
Proceedings of the 17th International Convention on Rehabilitation Engineering and Assistive Technology, 2024
k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting.
IEEE Trans. Medical Imaging, October, 2023
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Proceedings of the Image and Graphics - 12th International Conference, 2023
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.
Proceedings of the IEEE International Conference on Acoustics, 2022
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI.
Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022
2021
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.
IEEE J. Biomed. Health Informatics, 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021
Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT images.
Int. J. Comput. Assist. Radiol. Surg., 2021
M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3D Graph-S<sup>2</sup>Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Image and Graphics - 11th International Conference, 2021
Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
2020
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.
IEEE J. Biomed. Health Informatics, 2020
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions.
Pattern Recognit. Lett., 2020
CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images.
Commun. Inf. Syst., 2020
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.
IEEE Access, 2020
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Multi-level Information for Non-invasive Identification of Exit Site of Ventricular Tachycardia.
Proceedings of the Computing in Cardiology, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Noninvasive Imaging of Epicardial and Endocardial Potentials With Low Rank and Sparsity Constraints.
IEEE Trans. Biomed. Eng., 2019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018
2017
Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images.
Int. J. Biomed. Imaging, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
J. Inf. Process., 2016
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
A retrieval system for 3D multi-phase contrast-enhanced CT images of focal liver lesions based on combined bags of visual words and texture words.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
MAP-Based Iterative Channel Estimation for OFDM With Multiple Transmit Antennas Over Time-Varying Channels.
IEEE Trans. Wirel. Commun., 2014
MAP Based Iterative Channel Estimation for OFDM Systems: Approach, Convergence, and Performance Bound.
IEEE Trans. Wirel. Commun., 2014
Armature Reaction Field and Inductance of Coreless Moving-Coil Tubular Linear Machine.
IEEE Trans. Ind. Electron., 2014
2013
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013
Analysis of novel three-dimensional pole arrays for electromagnetic spherical actuators.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013
2010
Pre-processing optimization for IBI mitigation in an OFDM system over channels with large delay spreads.
Phys. Commun., 2010
2009
IBI Cancellation Based on Limited Channel Feedback for OFDM Systems over Channels with Large Delay Spreads.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
2008
A Neural-Network-Based Model Reference Speed Control for High Precision Motion Control Systems.
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008