Hongxiang Lin

According to our database, Hongxiang Lin authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation.

Yingying Xu, Yinjie Wang, Qingqing Chen, Hongjie Hu, Huimin Huang, Lanfen Lin, Yen-Wei Chen, Jingsong Li, Hongxiang Lin

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction.

Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Low-field magnetic resonance image enhancement via stochastic image quality transfer.

Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

Medical Image Anal., 2023

CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning.

Syed Furqan Qadri, Hongxiang Lin, Linlin Shen, Mubashir Ahmad, Salman Qadri, Salabat Khan, Maqbool Khan, Syeda Shamaila Zareen, Muhammad Azeem Akbar, Md Belal Bin Heyat, Saqib Qamar

Int. J. Intell. Syst., 2023

Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning.

Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network.

Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images.

Yucheng Tang, Yipeng Hu, Jing Li, Hu Lin, Xiang Xu, Ke Huang, Hongxiang Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Fusion Network Based Sparse View CT Reconstructions for Clinical Diagnostic Scanners.

Yangdi Xu, Jingsong Li, Hongxiang Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A joint method of coherence factor and nonlinear beamforming for synthetic aperture imaging with a ring array.

Zhengfeng Lan, Chao Rong, Changshan Han, Xiaolei Qu, Jingsong Li, Hongxiang Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Auto-tuning numerical method for acoustic wave simulation using analytical solution.

He Huang, Zheng Li, Changshan Han, Guangwei Wu, Zeyu Zhuang, Jingsong Li, Hongxiang Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Pulse Stretching Correction for Improving Ultrasound Image Resolution.

Changshan Han, He Huang, Zhengfeng Lan, Zeyu Zhuang, Jingsong Li, Hongxiang Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.

Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening.

Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, Chenrui Zhang, Sun Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

An Experiment Design Paradigm using Joint Feature Selection and Task Optimization.

Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander

CoRR, 2022

Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction.

Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin

CoRR, 2022

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.

Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Continual Contrastive Learning for Image Classification.

Zhiwei Lin, Yongtao Wang, Hongxiang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Continual Contrastive Self-supervised Learning for Image Classification.

Zhiwei Lin, Yongtao Wang, Hongxiang Lin

CoRR, 2021

Learning to Address Intra-segment Misclassification in Retinal Imaging.

Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts.

Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation.

Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.

Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

CoRR, 2020

2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.

Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.

Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.

Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors.

Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018