Xia Yong

Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20042025

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  • 2021

    Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction

    Zhao, G., Jiang, B., Zhang, J. & Xia, Y., 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 492-502 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12658 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • Ultimate reconstruction: Understand your bones from orthogonal views

    Pan, Y. & Xia, Y., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 1155-1158 4 p. 9433758. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • 2020

    $$\alpha $$ -UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation

    Chen, Y., Ma, B. & Xia, Y., 2020, Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - 2nd MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Albarqouni, S., Bakas, S., Kamnitsas, K., Cardoso, M. J., Landman, B., Li, W., Milletari, F., Rieke, N., Roth, H., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12444 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network

    Wei, J., Bui, D. T., Wu, Z., Wang, L., Xia, Y., Li, G. & Shen, D., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 140-143 4 p. 9098617. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs

    Zhang, J., Xia, Y. & Zhang, Y., 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Springer, p. 450-458 9 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Boundary-Aware Network for Kidney Tumor Segmentation

    Hu, S., Zhang, J. & Xia, Y., 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 189-198 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Scopus citations
  • EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge

    Zhang, J., Xie, Y., Liao, Z., Verjans, J. & Xia, Y., 2020, Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Zhuang, X. & Li, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 17-25 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12554 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Scopus citations
  • Improving brain tumor segmentation in multi-sequence MR images using cross-sequence MR image generation

    Zhao, G., Zhang, J. & Xia, Y., 2020, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 27-36 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11993 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images

    Jia, H., Xia, Y., Cai, W. & Huang, H., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 480-490 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Scopus citations
  • MSA-net: Multiscale spatial attention network for the classification of breast histology images

    Yang, Z., Ran, L., Xia, Y. & Zhang, Y., 2020, Advances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Proceedings. Ren, J., Hussain, A., Zhao, H., Cai, J., Chen, R., Xiao, Y., Huang, K. & Zheng, J. (eds.). Springer, p. 273-282 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11691 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Pairwise Relation Learning for Semi-supervised Gland Segmentation

    Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C. & Xia, Y., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 417-427 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12265 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    29 Scopus citations
  • Retinal Image Quality Assessment via Specific Structures Segmentation

    Zhou, X., Wu, Y. & Xia, Y., 2020, Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y. & Zheng, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-61 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12069 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • 2019

    A pulmonary nodule detection method based on residual learning and dense connection

    Zhang, F., Xie, Y., Xia, Y. & Zhang, Y., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). Springer, p. 72-80 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11795 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Brain tumor segmentation on multimodal MR imaging using multi-level upsampling in decoder

    Hu, Y., Liu, X., Wen, X., Niu, C. & Xia, Y., 2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Keyvan, F., Crimi, A., van Walsum, T., Reyes, M., Bakas, S. & Kuijf, H. (eds.). Springer Verlag, p. 168-177 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11384 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations
  • DAEimp: Denoising autoencoder-based imputation of sleep heart health study for identification of cardiovascular diseases

    Dong, X., Zhang, J., Wang, G. & Xia, Y., 2019, Pattern Recognition and Computer Vision- 2nd Chinese Conference, PRCV 2019, Proceedings, Part I. Lin, Z., Wang, L., Tan, T., Yang, J., Shi, G., Zheng, N., Chen, X. & Zhang, Y. (eds.). Springer, p. 517-527 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11857 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Deep segmentation-emendation model for gland instance segmentation

    Xie, Y., Lu, H., Zhang, J., Shen, C. & Xia, Y., 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. 469-477 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    36 Scopus citations
  • Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis

    Pan, Y., Liu, M., Wang, L., Xia, Y. & Shen, D., 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer, p. 138-146 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages

    Pan, Y., Liu, M., Lian, C., Xia, Y. & Shen, D., 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. 137-145 9 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 contributionpeer-review

    39 Scopus citations
  • Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation

    Zhang, D., Song, Y., Liu, D., Zhang, C., Wu, Y., Wang, H., Zhang, F., Xia, Y., O’Donnell, L. J. & Cai, W., 2019, AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, 2019, Proceedings. Liu, J. & Bailey, J. (eds.). Springer, p. 563-573 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11919 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images

    Jia, H., Song, Y., Huang, H., Cai, W. & Xia, Y., 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. 110-118 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    48 Scopus citations
  • Light-weight hybrid convolutional network for liver tumor segmentation

    Zhang, J., Xie, Y., Zhang, P., Chen, H., Xia, Y. & Shen, C., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 4271-4277 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    102 Scopus citations
  • Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation

    Su, Y., Wei, J., Ma, B., Xia, Y. & Zhang, Y., 2019, Intelligence Science and Big Data Engineering. Visual Data Engineering - 9th International Conference, IScIDE 2019, Proceedings, Part 1. Cui, Z., Pan, J., Zhang, S., Xiao, L. & Yang, J. (eds.). Springer, p. 58-67 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11935 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images

    Cui, H., Xia, Y. & Zhang, Y., 2019, Intelligence Science and Big Data Engineering. Visual Data Engineering - 9th International Conference, IScIDE 2019, Proceedings, Part 1. Cui, Z., Pan, J., Zhang, S., Xiao, L. & Yang, J. (eds.). Springer, p. 238-248 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11935 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Vessel-Net: Retinal vessel segmentation under multi-path supervision

    Wu, Y., Xia, Y., Song, Y., Zhang, D., Liu, D., Zhang, C. & Cai, W., 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. 264-272 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    132 Scopus citations
  • 2018

    3D deep neural network-based brain tumor segmentation using multimodality magnetic resonance sequences

    Hu, Y. & Xia, Y., 2018, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 3rd International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Revised Selected Papers. Menze, B., Crimi, A., Kuijf, H., Reyes, M. & Bakas, S. (eds.). Springer Verlag, p. 423-434 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10670 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging

    Ma, B. & Xia, Y., 21 Jun 2018, ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. Zhao, L., Wang, L., Cai, G., Li, K., Liu, Y. & Xiao, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 172-177 6 p. (ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Cross-cohort dementia identification using transfer learning with FDG-PET imaging

    Lu, S., Xia, Y., Cai, W., Feng, D. D. & Fulham, M., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 1550-1554 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm

    Li, Z., Xia, Y. & Sahli, H., 2018, Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. Hussain, A., Luo, B., Zheng, J., Zhao, X., Liu, C.-L., Ren, J. & Zhao, H. (eds.). Springer Verlag, p. 293-302 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10989 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Deep classification and segmentation model for vessel extraction in retinal images

    Wu, Y., Xia, Y. & Zhang, Y., 2018, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Proceedings. Liu, C.-L., Tan, T., Zhou, J., Lai, J.-H., Chen, X., Zheng, N. & Zha, H. (eds.). Springer Verlag, p. 250-258 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11257 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Densely connected large kernel convolutional network for semantic membrane segmentation in microscopy images

    Liu, D., Zhang, D., Liu, S., Song, Y., Jia, H., Feng, D., Xia, Y. & Cai, W., 29 Aug 2018, 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, p. 2461-2465 5 p. 8451775. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    7 Scopus citations
  • Early diagnosis of Alzheimer’s disease by ensemble deep learning using FDG-PET

    Zheng, C., Xia, Y., Chen, Y., Yin, X. & Zhang, Y., 2018, Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Revised Selected Papers. Yu, K., Peng, Y., Jiang, X. & Lu, J. (eds.). Springer Verlag, p. 614-622 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11266 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    22 Scopus citations
  • Early Identification of Alzheimer’s Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging

    Chen, Y., Jia, H., Huang, Z. & Xia, Y., 2018, Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. Hussain, A., Luo, B., Zheng, J., Zhao, X., Liu, C.-L., Ren, J. & Zhao, H. (eds.). Springer Verlag, p. 303-311 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10989 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • Lung nodule detection using combined traditional and deep models and chest CT

    Zhang, J., Huang, Z., Huang, T., Xia, Y. & Zhang, Y., 2018, Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Revised Selected Papers. Yu, K., Peng, Y., Jiang, X. & Lu, J. (eds.). Springer Verlag, p. 655-662 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11266 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Multiscale network followed network model for retinal vessel segmentation

    Wu, Y., Xia, Y., Song, Y., Zhang, Y. & Cai, W., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer Verlag, p. 119-126 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    162 Scopus citations
  • Panoptic segmentation with an end-to-end cell R-CNN for pathology image analysis

    Zhang, D., Song, Y., Liu, D., Jia, H., Liu, S., Xia, Y., Huang, H. & Cai, W., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer Verlag, p. 237-244 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    47 Scopus citations
  • Skin lesion classification in dermoscopy images using synergic deep learning

    Zhang, J., Xie, Y., Wu, Q. & Xia, Y., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer Verlag, p. 12-20 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    45 Scopus citations
  • Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis

    Pan, Y., Liu, M., Lian, C., Zhou, T., Xia, Y. & Shen, D., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 455-463 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    158 Scopus citations
  • 2017

    Dictionary learning-based image compression

    Wang, H., Xia, Y. & Wang, Z., 2 Jul 2017, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 3235-3239 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • Gradient vector flow field and fast marching based method for centerline computation of coronary arteries

    Cui, H. & Xia, Y., 2017, Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Proceedings. Sun, Y., Lu, H., Zhang, L., Yang, J. & Huang, H. (eds.). Springer Verlag, p. 597-607 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10559 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Jointly using deep model learned features and traditional visual features in a stacked SVM for medical subfigure classification

    Wang, H., Zhang, J. & Xia, Y., 2017, Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Proceedings. Sun, Y., Lu, H., Zhang, L., Yang, J. & Huang, H. (eds.). Springer Verlag, p. 191-199 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10559 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Lung nodule classification by jointly using visual descriptors and deep features

    Xie, Y., Zhang, J., Liu, S., Cai, W. & Xia, Y., 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Revised Selected Papers. Arbel, T., Langs, G., Jenkinson, M., Menze, B., Wells III, W. M., Chung, A. C. S., Kelm, B. M., Cai, W., Montillo, A., Metaxas, D., Cardoso, M. J., Zhang, S., Ribbens, A. & Muller, H. (eds.). Springer Verlag, p. 116-125 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10081 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Scopus citations
  • Multi-scale networks for segmentation of brain magnetic resonance images

    Wei, J. & Xia, Y., 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, p. 312-320 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Prostate segmentation in MR images using ensemble deep convolutional neural networks

    Jia, H., Xia, Y., Cai, W., Fulham, M. & Feng, D. D., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 762-765 4 p. 7950630. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Scopus citations
  • Space target recognition based on deep learning

    Zeng, H. & Xia, Y., 11 Aug 2017, 20th International Conference on Information Fusion, Fusion 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8009786. (20th International Conference on Information Fusion, Fusion 2017 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Scopus citations
  • Transferable multi-model ensemble for benign-malignant lung nodule classification on chest CT

    Xie, Y., Xia, Y., Zhang, J., Feng, D. D., Fulham, M. & Cai, W., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Maier-Hein, L., Franz, A., Jannin, P., Duchesne, S., Descoteaux, M. & Collins, D. L. (eds.). Springer Verlag, p. 656-664 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    65 Scopus citations
  • 2016

    Affective image classification by jointly using low-level visual features and interpretable aesthetic features

    Li, N. & Xia, Y., 2 Jul 2016, 2016 International Conference on Orange Technologies, ICOT 2016. Institute of Electrical and Electronics Engineers Inc., p. 48-51 4 p. 8278976. (2016 International Conference on Orange Technologies, ICOT 2016; vol. 2018-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Compressive tracking moving cells in time-lapse image sequences

    Ding, C., Li, Y., Pan, Y., Zhou, T., Gao, P. & Xia, Y., 22 Jun 2016, Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., p. 75-78 4 p. 7498479. (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Jointly using computationally selected and clinically suggested cortical volumes for automated identification of mild cognitive impairment

    Zheng, C., Li, N. & Xia, Y., 2 Jul 2016, 2016 International Conference on Orange Technologies, ICOT 2016. Institute of Electrical and Electronics Engineers Inc., p. 72-75 4 p. (2016 International Conference on Orange Technologies, ICOT 2016; vol. 2018-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2015

    Local variational bayesian inference using niche differential evolution for brain magnetic resonance image segmentation

    Li, Z., Ji, Z. & Xia, Y., 2015, Intelligence Science and Big Data Engineering: Image and Video Data Engineering - 5th International Conference, IScIDE 2015, Revised Selected Papers. He, X., Zhou, Z.-H., Gao, X., Liu, Z.-Y., Zhang, Y., Fu, B., Hu, F. & Zhang, Z. (eds.). Springer Verlag, p. 592-602 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9242).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Robust saliency detection via regularized random walks ranking

    Li, C., Yuan, Y., Cai, W., Xia, Y. & Feng, D. D., 14 Oct 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 2710-2717 8 p. 7298887. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    248 Scopus citations