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Dr Yanda Meng

Lecturer in Artificial Intelligence and Computer Vision (Medical Image Analysis)

Email:

Location: Innovation Centre Phase 1 J1

Telephone: 01392 723664

Extension: (Streatham) 3664

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I am a Lecturer at the University of Exeter, Computer Science Department. I am now also an Honorary Lecturer at the Cardiovascular & Metabolic Medicine Department, University of Liverpool.

I did my PhD with Prof Yalin Zheng and Prof Xiaowei Huang at the Eye and Vision Science Department at the University of Liverpool, with a short-term research visit to Prof Jens Rittscher's group at the Biomedical Engineering Institute, University of Oxford. Then, I did a post-doc with Prof Yalin Zheng and Dr Nicholas AV Beare in Liverpool on a Wellcome Trust-funded AI-assisted OCT device for cerebral malaria disease diagnosis and prognosis. I work closely with Dr Alam Uazman on CCM image-based diabetes neuropathy diagnosis and Prof Gregory Lip on cardiovascular diseases early detection.

  My current reserch interest mainly focuses on:
  1. Medical Image Analysis (Cardiovascular, Neurodegenerative, Diabetes, Ophthalmology, etc.) - CT, cMRI, Ultrasound, X-ray, OCT, Colour Fundus, etc.
  2. Vision Foundation Models, Multi-modality Models (LLM + Vision)
  3. Data-Efficient Deep Learning (Semi/Weakly)
  4. Trustworthy AI (Uncertainty Quantification, Federate Learning)
  5. Geometric Deep Learning (Graph Neural Network)

Publication (See my google scholar for more details): 

I have published more than 30 papers in peer-reviewed journals and conferences and first-authored more than 10 publications at prestigious journals/conferences, selected publications (* means equal contribution, † means corresponding author):
  1. Yanda Meng, et al. Multi-Granularity Learning of Explicit Geometric Constraint and Contrast for Label-Efficient Medical Image Segmentation and Differentiable Clinical Function Assessment. Medical Image Analysis.
  2. Yanda Meng, et al. Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning. Medical Image Analysis.
  3. Yanda Meng, et al. Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation with Dual Adaptive Graph Convolutional Networks. IEEE Transactions on Medical Imaging.
  4. Yanda Meng, et al. Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation. IEEE Transactions on Medical Imaging.
  5. Frank G Preston*, Yanda Meng*, et al. Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. Diabetologia (front cover). 
  6. Yanda Meng, et al. Transportation Object Counting with Graph-Based Adaptive Auxiliary Learning. IEEE Transactions on Intelligent Transportation System.
  7. Yanda Meng, et al. Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neurapathy: A Binary Classification Model. Journal of Clinical Medicine.
  8. Alastair Patefield*, Yanda Meng*, et al. Deep-Learning using preoperative AS-OCT predicts graft detachmeng in DMEK. Translational Vision Science and Technology.
  9. Yanda Meng, et al. Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. ICCV 2021.
  10. Yanda Meng, et al. Regression of Instance Boundary by Aggregated CNN and GCN. ECCV 2020.
  11. Yanda Meng, et al. CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. MICCAI 2020 (early accept).
  12. Yanda Meng, et al. Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency. MICCAI 2022 (early accept).
  13. Yanda Meng, et al. BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. BMVC 2021 (oral).
  14. Yanda Meng, et al. Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-aware Contrastive Learning. PRCV 2023.
  15. Yanda Meng, et al. Diagnosis of Diabetic Neuropathy by Artificial Intelligence using Corneal Confocal Microscopy. EAsDEC 2022
  16. Jianyang Xie, Yanda Meng†, Yitian Zhao, Anh Nguyen, Xiaoyun Yang, Yalin Zheng†. Dynamic Semantic-based Graph Convolution Network for Skeleton-based Human Action Recognotion. AAAI 2024.
 

Academic Services:

  • Lead Guest Editor: Frontiers in Medicine Special Issue on Efficient Artificial Intelligence (AI) in Ophthalmic Imaging
  • Reviewer:
    Conference: ICCV, CVPR, ECCV, AAAI, MICCAI, MIDL
    Journal: MedIA, IEEE-TMI, IEEE-TIP, IEEE-TCSVT, IEEE-JBHI, Medical Physics, Frontier in Medicine, Artificial Intelligence in Medicine, Computerized Medical Imaging and Graphics, Computers in Biology and Medicine, etc.

Talks:

  • Feb 2024, I gave a talk to the CS seminar, Computer Science department, University of Exeter. Thanks for the invitation.
  • Feb, 2024, I gave a talk to the Medical Imaging Centre, Department of Health and Care Progessions, University of Exeter. Thanks for the invitation.
  • Nov, 2023, I gave a talk at the 6th Belt and Road Forum (一带一路) for Young World Scholars at the Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences. Thanks for Prof. Yitian Zhao’s invitation.
  • May, 2023, I gave a talk at the 1st AI in Healthcare Workshop at the University of Portsmouth, School of Computing. Thanks for Dr. Dongxu Gao’s invitation.
  • Nov, 2022, I gave a talk at the 2nd Dushu (独墅) Youth Academic Forum at Suzhou Institute For Advanced Research, The University of Science and Technology of China. Thanks for Prof. S.Kevin Zhou’s invitation.
  • Sep, 2022, I gave a talk at the 5th Belt and Road Forum (一带一路) for Young World Scholars at the Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences. Thanks for Prof. Yitian Zhao’s invitation.
  • Nov, 2021, I gave an oral talk at the British Machine Vision Conference (BMVC2021), with title ‘BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation’

I am looking for self-motivated Ph. D. students. If you are interested in working with me, please send me an email about your background (CV, transcripts, etc..)

Some useful links: (1) EPSRC PhD Studentships; (2) Centre for Doctoral Training in Enviornmental Intelligence; (3) China Scholarship Council and University of Exeter PhD Scholarships