Hongxiang Lin

Hongxiang (Harry) Lin

Research Associate Professor, PI
Research Center for Data Hub and Security
Zhejiang Lab, Hangzhou, China
Send to: hxlin at zhejianglab dot edu dot cn
Homepage: Google Scholar
Open source softwares: Github

Short C.V.

I am working on intelligent ultrasound imaging technology. We aim to leverage the knowledge of biomedical engineering, mathematical modelling, scientific computing and the state-of-the-art artificial intelligence technology to develop and reinforce ultrasound imaging systems.

My research interests are deep learning based medical image reconstruction and analysis, and inverse problems in medical imaging, including ultrasound computed tomography, magnetic resonance imaging, photoacoustic imaging, etc.

Previously, I was a Research Associate in the Centre for Medical Image Computing, Department of Computer Science at University College London (2018-2021). I was a Project Researcher affiliated to both Fluids Engineering Laboratory and Medical Equipment Engineering Laboratory at the University of Tokyo (2017-2018). I was awarded my PhD from Department of Mechanical Engineering, the University of Tokyo (2017). My background covers mostly on numerical mathematics and scientific computing.

News

[06/2024] One abstract accepted to IUS'24.
[06/2024] One paper on coherence-factor based ultrasound beamforming accepted to the MSSP Journal.
[02/2024] One paper accepted to ISBI'24.
[12/2023] One paper accepted to ICASSP'24.
[12/2023] Pleased to award Young Scientists Fund from Zhejiang Provincial NSFC.
[08/2023] Pleased to award Young Scientists Fund from National NSFC. Also congrats to Zhengfeng for awarding another Young Scientists Fund.
[07/2023] One paper early accepted to MICCAI'23 (Top 14%). Also congrats to Yucheng for obtaining MICCAI STAR award.
[04/2023] Three papers accepted to EMBC'23.
[04/2023] One journal paper accepted to Medical Image Analysis.

[03/2023] One journal paper accepted to International Journal of Intelligent System.

[07/2022] One journal paper accepted to UMB.

[06/2022] One paper accepted to MICCAI'22.

[04/2022] Our team awarded second place of Adaptive Computing Challenge 2021. with AMD-Xilinx. Congrats to Yingying, Yinjie, Huimin.

[02/2022] One paper accepted to ISMRM'22.

[06/2021] Two papers accepted to MICCAI'21.

[05/2021] Two papers accepted to ISMRM'21.

[10'20] Won 3rd place of Super MUDI challenge organised by CDMRI, the MICCAI'20 workshop.

[04'20] One paper accepted to ICLR-AI4AH'20.

[08'19] One paper on low-field-to-high-field MR image transfer with probabilistic model accepted to MICCAI-MLMIR'19 (oral).

[08'19] An invited talk in DL INDABA'19.

[06'19] Our team won 1st place of ABCD-NP challenge on prediction of fluid intelligence scores.

Publications (Selected)

Coherence-based phase aberration correction and beamforming for ring-array ultrasound imaging
Zhengfeng Lan, Chao Rong, Changshan Han, Xiaolei Qu* Jingsong Li*, Hongxiang Lin*
Mechanical Systems and Signal Processing, 2023 [page]

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 Analysis, 2023 [pdf] [code]

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*, and Hongxiang Lin*
MICCAI, 2023 [pdf] [MICCAI STAR Award]

Progressive Subsampling for Oversampled Data--Application to Quantitative MRI
Stefano B Blumberg*, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C Alexander , Yukun Zhou, Paddy Slator, Daniel C Alexander
MICCAI, 2022 (Accepted) [pdf]

Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts
Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C Alexander
MICCAI, 2021 [pdf] [code]

Low-to-High Field MR Image Quality Transfer
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, David W Carmichael, Ikeoluwa Lagunju, Helen J Cross, Delmiro Fernandez-Reyes, Daniel C Alexander
ISMRM, 2021 [pdf]

Image Quality Transfer Enhances the Contrast and Resolution of Low-Field 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 (co-first author)
ICLR-AI4AH, 2020 [pdf]

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
MICCAI-MLMIR, 2019 [pdf]

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology
Neil P Oxtoby, Fabio S Ferreira, Agoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Maria Del Mar Estarellas Garcia, Baris Kanber, Daniil I Nikitichev, Janaina Mourao-Miranda
arXiv:1905.10834, 2019 [pdf]

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression
Agoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B Blumberg, Baris Kanber, Maira Tariq, Maria Del Mar Estarellas Garcia, Cemre Zor, Daniil I Nikitichev, Janaina Mourao-Miranda, Neil P Oxtoby
arXiv:1905.10831, 2019 [pdf]

Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors
Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi
MICCAI, 2018 [pdf] [code]

Computational cost reduction by avoiding ray-linking iteration in bent-ray method for sound speed image reconstruction in ultrasound computed tomography
Xiaolei Qu, Takashi Azuma, Hongxiang Lin, Hirofumi Nakamura, Satoshi Tamano, Shu Takagi, Shin-ichiro Umemura, Ichiro Sakuma, Yoichiro Matsumoto
Japanese Journal of Applied Physics, 2017 [pdf]

Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse data
Hongxiang Lin, Takashi Azuma, Xiaolei Qu, Shu Takagi
SPIE Medical Imaging 2017: Ultrasonic Imaging and Tomography, 2017 [pdf]

Limb muscle sound speed estimation by ultrasound computed tomography excluding receivers in bone shadow
Xiaolei Qu, Takashi Azuma, Hongxiang Lin, Hideki Takeuchi, Kazunori Itani, Satoshi Tamano, Shu Takagi, Ichiro Sakuma
SPIE Medical Imaging 2017: Ultrasonic Imaging and Tomography, 2017 [pdf]

Robust contrast source inversion method with automatic choice rule of regularization parameters for ultrasound waveform tomography
Hongxiang Lin, Takashi Azuma, Xiaolei Qu, Shu Takagi
Japanese Journal of Applied Physics, 2016 [pdf]

Novel automatic first-arrival picking method for ultrasound sound-speed tomography
Xiaolei Qu, Takashi Azuma, Haruka Imoto, Riaz Raufy, Hongxiang Lin, Hirofumi Nakamura, Satoshi Tamano, Shu Takagi, Shin-Ichiro Umemura, Ichiro Sakuma, Yoichiro Matsumoto
Japanese Journal of Applied Physics, 2015 [pdf]

Research Support

Young Scientists Fund, Zhejiang Provincial NSFC, in 2023 (on-going).
Young Scientists Fund, National NSFC, in 2023 (on-going).
Research Initial Grant, Zhejiang Lab, 2021-2022.

Patents

Chinese Patents: 10 (granted)
PCT Patents: 1 (granted)

Selected Awards

MICCAI STAR award - as a senior author, in 2023
2nd place winner of Adaptive Computing Challenge 2021 with AMD-Xilinx, in 2022
3rd place winner of Super MUDI Challenge (ranking 2nd at Task Two) - MICCAI'20
1st place winner of ABCD Neurocognitive Prediction Challenge - MICCAI'19
Teijin-Kumura scholarship sponsored by the Teijin Scholarhip Foundation, Japan, in 2015-2017
SEUT RA Fellowship offered by School of Engineering, the University of Tokyo, in 2014-2017
Outstanding Graduate Student of Shanghai City, 2014

Academic Services

Conference Review: MICCAI, MICCAI-UNSURE, IPCAI, CVPR-DCAMI
Journal Review: MedIA, IEEE TMI, JBHI, PMB, MST, AIRE, Front. Med., MIA, MELBA, Scientific Reports
Guest Associate Editor: Frontiers in Artificial Intelligence