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Hongxiang Lin
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2020 – today
- 2024
- [c19]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: 1581-1585 - 2023
- [j2]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: 1-14 (2023) - [j1]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: 102807 (2023) - [c18]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: 4975-4977 - [c17]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: 4105-4109 - [c16]Changshan Han, He Huang, Zhengfeng Lan, Zeyu Zhuang, Jingsong Li
, Hongxiang Lin:
Pulse Stretching Correction for Improving Ultrasound Image Resolution. EMBC 2023: 1-4 - [c15]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: 1-4 - [c14]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: 1-4 - [c13]Yangdi Xu, Jingsong Li
, Hongxiang Lin:
Deep Fusion Network Based Sparse View CT Reconstructions for Clinical Diagnostic Scanners. EMBC 2023: 1-4 - [c12]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: 57-67 - [c11]Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu:
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network. NeurIPS 2023 - [c10]Hongxiang Lin
, Ruiqi Jia
, Xiaoqing Lyu
:
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. SIGIR 2023: 2021-2025 - [i8]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 abs/2304.13385 (2023) - 2022
- [c9]Zhiwei Lin, Yongtao Wang, Hongxiang Lin:
Continual Contrastive Learning for Image Classification. ICME 2022: 1-6 - [c8]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: 421-431 - [i7]Stefano B. Blumberg, Hongxiang Lin
, Francesco Grussu, Yukun Zhou, Matteo Figini
, Daniel C. Alexander
:
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR abs/2203.09268 (2022) - [i6]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 abs/2203.12476 (2022) - [i5]Stefano B. Blumberg, Hongxiang Lin
, Yukun Zhou, Paddy Slator, Daniel C. Alexander:
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization. CoRR abs/2210.06891 (2022) - 2021
- [c7]Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang:
AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. ICANN (1) 2021: 391-402 - [c6]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: 44-54 - [c5]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: 482-492 - [i4]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 abs/2104.12138 (2021) - [i3]Zhiwei Lin, Yongtao Wang, Hongxiang Lin:
Continual Contrastive Self-supervised Learning for Image Classification. CoRR abs/2107.01776 (2021) - 2020
- [i2]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 abs/2003.07216 (2020)
2010 – 2019
- 2019
- [c4]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: 58-70 - [c3]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: 114-123 - [c2]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: 133-142 - [i1]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 abs/1909.06763 (2019) - 2018
- [c1]Hongxiang Lin
, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi:
Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors. MICCAI (1) 2018: 73-81
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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