Jiahao Huang

Jiahao Huang

Ph. D. Candidate

Imperial College London

Biography

Jiahao Huang is a Ph.D. candidate in Biomedical Imaging and Artificial Intelligence at Imperial College London. His research interests include deep learning-based image restoration, foundation models including large vision-language models, and optimization of MRI sampling patterns and coil sensitivities, focusing on tasks such as fast MRI, cardiac diffusion tensor imaging, and low-dose and sparse-view imaging in PET and CT.

Interests
  • Computer Vision
  • Foundation Model
  • Medical Imaging
  • MRI Reconstruction
  • MRI Sampling Optimization
  • Hallucination
Education

  • PhD Student in Deep Learning and Medical Imaging, 2021-2025

    Department of Bioengineering, Imperial College London

  • BSc in Optoelectronics Information Science and Engineering, 2017-2021

    School of Optics and Photonics, Beijing Institute of Technology

Selected Publications

Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
January, 2025 Medical Image Analysis
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-masked Mamba
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-masked Mamba
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Jiahao Huang, Yinzhe Wu, Fanwen Wang, Yingying Fang, Yang Nan, Cagan Alkan, Daniel Abraham, Congyu Liao, Lei Xu, Zhifan Gao, Weiwen Wu, Lei Zhu, Zhaolin Chen, Peter Lally, Neal Bangerter, Kawin Setsompop, Yike Guo, Daniel Rueckert, Ge Wang, Guang Yang
October, 2024 IEEE Reviews in Biomedical Engineering
Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
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Andrey Bryutkin* (Co-First), Jiahao Huang* (Co-First), Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero
June, 2024 Forty-first International Conference on Machine Learning
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
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Jiahao Huang, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Guang Yang
October, 2023 Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
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More Publications

Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang (2025). Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-masked Mamba. Medical Image Analysis.

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Andrew D. Scott, Ke Wen, Yaqing Luo, Jiahao Huang, Simon Gover, Rajkumar Soundarajan, Pedro F. Ferreira, Dudley J. Pennell, Sonia Nielles-Vallespin (2024). The Effects of Field Strength on Stimulated Echo and Motion-compensated Spin-echo Diffusion Tensor Cardiovascular Magnetic Resonance Sequences. Journal of Cardiovascular Magnetic Resonance.

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Jiahao Huang, Yinzhe Wu, Fanwen Wang, Yingying Fang, Yang Nan, Cagan Alkan, Daniel Abraham, Congyu Liao, Lei Xu, Zhifan Gao, Weiwen Wu, Lei Zhu, Zhaolin Chen, Peter Lally, Neal Bangerter, Kawin Setsompop, Yike Guo, Daniel Rueckert, Ge Wang, Guang Yang (2024). Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies. IEEE Reviews in Biomedical Engineering.

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Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang (2024). When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. arXiv.

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Andrey Bryutkin* (Co-First), Jiahao Huang* (Co-First), Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero (2024). HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. Forty-first International Conference on Machine Learning.

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Fanwen Wang, Pedro F. Ferreira, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Yinzhe Wu, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang (2024). Low-rank based Motion Correction followed by Automatic Frame Selection in DT-CMR. The International Society for Magnetic Resonance in Medicine (ISMRM) 2024.

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Fanwen Wang, Pedro F. Ferreira, Yinzhe Wu, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang (2024). Efficient Post-processing of Diffusion Tensor Cardiac Magnetic Imaging Using Texture-conserving Deformable Registration. Medical Imaging 2024: Clinical and Biomedical Imaging.

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Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro Ferreira, Andrew Scott, Sonia Nielles-Vallespin, Guang Yang (2024). High-resolution Reference Image Assisted Volumetric Super-resolution of Cardiac Diffusion Weighted Imaging. Medical Imaging 2024: Image Processing.

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Andrew Scott, Ke Wen, Yaqing Luo, Jiahao Huang, Simon Gover, Rajkumar Soundarajan, Pedro Ferreira, Dudley Pennell, Sonia Nielles-Vallespin (2024). A Comparison of Diffusion Tensor CMR at 1.5T and 3T. Journal of Cardiovascular Magnetic Resonance.

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Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang (2024). Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. Scientific Reports.

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Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang (2024). Is Attention all You Need in Medical Image Analysis? A Review. IEEE Journal of Biomedical and Health Informatics.

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Fanwen Wang, Pedro Ferreira, Yinzhe Wu, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Dudley Pennell, Andrew Scott, Sonia Nielles-Vallespin, Guang Yang (2024). Optimized Post-processing for Diffusion Tensor CMR with Texture-preserving Deformable Motion Correction. Journal of Cardiovascular Magnetic Resonance.

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Zihao Jin, Yingying Fang, Jiahao Huang, Caiwen Xu, Simon Walsh, Guang Yang (2024). Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

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Fanwen Wang, Yihao Luo, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Yinzhe Wu, Zohya Khalique, Maria Molto, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang (2024). Enhanced DTCMR with Cascaded Alignment and Adaptive Diffusion. IEEE Transactions on Medical Imaging.

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Fanwen Wang, Yihao Luo, Ke Wen, Jiahao Huang, Pedro F. Ferreira, Yaqing Luo, Yinzhe Wu, Camila Munoz, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang (2024). Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

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