Accepting PhD Students

20172024

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  • 2024

    Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology

    Yi, H., Wang, X., Li, K. & Li, C. (Lead / Corresponding author), 5 Oct 2024, Computational Mathematics Modeling in Cancer Analysis: Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Wu, J., Qin, W., Li, C. & Kim, B. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 1-10 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15181 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2023

    CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis

    Jiang, L., Mao, Y., Wang, X., Chen, X. & Li, C. (Lead / Corresponding author), 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part X. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 1 ed. Cham: Springer , p. 398-408 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14229 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)
  • DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution

    Mao, Y., Jiang, L., Chen, X. & Li, C., 1 Oct 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part X. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 1 ed. Cham: Springer , p. 387-397 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14229 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • Expectation-Maximization Regularised Deep Learning for Tumour Segmentation

    Li, C., Huang, W., Chen, X., Wei, Y., Zhang, L., Zhang, J., Price, S. & Schonlieb, C.-B., 1 Sept 2023, IEEE International Symposium on Biomedical Imagin: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 1-5 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping

    Li, Y., Li, C., Wei, Y., Price, S., Schönlieb, C. B. & Chen, X. (Lead / Corresponding author), 9 Oct 2023, Computational Mathematics Modeling in Cancer Analysis: Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Qin, W., Zaki, N., Zhang, F., Wu, J., Yang, F. & Li, C. (eds.). 1 ed. Springer Nature Switzerland AG, p. 21-30 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14243 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

    Wang, X., Price, S. & Li, C. (Lead / Corresponding author), 1 Oct 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VII. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 1 ed. Springer , p. 551-561 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14226 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Predicting Conversion of Mild Cognitive Impairment to Alzheimer’s Disease by Modelling Healthy Ageing Trajectories

    Wei, Y., Chen, X., Schonlieb, C. B., Price, S. J. & Li, C., 23 Apr 2023, 2023 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, p. 1-5 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2022

    Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma

    Li, Y., Li, C., Wei, Y., Price, S., Schönlieb, C. B. & Chen, X. (Lead / Corresponding author), 22 Jul 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 124-139 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12962 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma

    Wei, Y., Li, C., Chen, X., Schoinlieb, C. B. & Price, S. J., 26 Apr 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    5 Citations (Scopus)
    68 Downloads (Pure)
  • Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks

    Wei, Y., Li, Y., Chen, X., Schönlieb, C. B., Li, C. (Lead / Corresponding author) & Price, S. J., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I. Crimi, A. & Bakas, S. (eds.). 1 ed. Switzerland: Springer , Vol. 1. p. 140-150 11 p. (Lecture Notes in Computer Science; vol. 12962).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    3 Citations (Scopus)
    51 Downloads (Pure)
  • 2021

    BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification

    Li, C., Wei, Y., Chen, X. & Schönlieb, C. B., 2021, Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Engelhardt, S., Oksuz, I., Zhu, D., Yuan, Y., Mukhopadhyay, A., Heller, N., Huang, S. X., Nguyen, H., Sznitman, R. & Xue, Y. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13003 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • Quantifying Structural Connectivity in Brain Tumor Patients

    Wei, Y., Li, C. (Lead / Corresponding author) & Price, S. J., 21 Sept 2021, Medical Image Computing and Computer Assisted Intervention: MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 519-529 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)
  • 2019

    GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions

    Liu, P. (Lead / Corresponding author), Li, C. & Schönlieb, C. B., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – : MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 110-117 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)