Hongxiang Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Kernel Ridge Regression

Top Venues

Publications

Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction. ICASSP (2024)
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
Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Anal. 87 (2023)
Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, Chenrui Zhang, Sun Yu
Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening. BIBM (2023)
Yangdi Xu, Jingsong Li, Hongxiang Lin
Deep Fusion Network Based Sparse View CT Reconstructions for Clinical Diagnostic Scanners. EMBC (2023)
Yucheng Tang, Yipeng Hu, Jing Li, Hu Lin, Xiang Xu, Ke Huang, Hongxiang Lin
PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images. MICCAI (2) (2023)
Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM (2023)
Changshan Han, He Huang, Zhengfeng Lan, Zeyu Zhuang, Jingsong Li, Hongxiang Lin
Pulse Stretching Correction for Improving Ultrasound Image Resolution. EMBC (2023)
He Huang, Zheng Li, Changshan Han, Guangwei Wu, Zeyu Zhuang, Jingsong Li, Hongxiang Lin
Auto-tuning numerical method for acoustic wave simulation using analytical solution. EMBC (2023)
Zhengfeng Lan, Chao Rong, Changshan Han, Xiaolei Qu, Jingsong Li, Hongxiang Lin
A joint method of coherence factor and nonlinear beamforming for synthetic aperture imaging with a ring array. EMBC (2023)
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
Low-field magnetic resonance image enhancement via stochastic image quality transfer. CoRR (2023)
Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. SIGIR (2023)
Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network. NeurIPS (2023)
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
CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. Int. J. Intell. Syst. 2023 (2023)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR (2022)
Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin
Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction. CoRR (2022)
Zhiwei Lin, Yongtao Wang, Hongxiang Lin
Continual Contrastive Learning for Image Classification. ICME (2022)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. MICCAI (6) (2022)
Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization. CoRR (2022)
Zhiwei Lin, Yongtao Wang, Hongxiang Lin
Continual Contrastive Self-supervised Learning for Image Classification. CoRR (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR (2021)
Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang
AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. ICANN (1) (2021)
Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. MICCAI (6) (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) (2021)
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
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR (2020)
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
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR (2019)
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
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI (2019)
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
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI (2019)
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
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI (2019)
Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi
Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors. MICCAI (1) (2018)