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20112024

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  • 2024

    A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

    Zhang, X., Ou, N., Basaran, B. D., Visentin, M., Qiao, M., Gu, R., Ouyang, C., Liu, Y., Matthews, P. M., Ye, C. & Bai, W., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 379-389 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15012 LNCS).

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

  • Transfer learning for brain lesion segmentation via data transfer

    Guo, W., Zhang, X., Pang, H. & Ye, C., 2024, International Conference on Future of Medicine and Biological Information Engineering, MBIE 2024. Yao, Y., Li, X. & Yu, X. (eds.). SPIE, 132700F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13270).

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

  • 2023

    AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation

    Zheng, T., Ba, R., Wang, X., Ye, C. & Wu, D., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 142-151 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

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

    1 Citation (Scopus)
  • Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap

    Liu, W. & Ye, C., 2023, Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings. Frangi, A., de Bruijne, M., Wassermann, D. & Navab, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 629-640 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13939 LNCS).

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

  • ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection

    Wang, H., Luo, Z., Yip, J. W. L., Ye, C. & Zhang, M., 6 Aug 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5071-5081 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

    2 Citations (Scopus)
  • Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data

    Lu, S., Wang, H. & Ye, C., 2023, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Revised Selected Papers. Bakas, S., Baid, U., Baheti, B., Crimi, A., Malec, S., Pytlarz, M., Zenk, M. & Dorent, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 115-123 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13769 LNCS).

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

  • Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher

    Wen, Z., Zhang, X. & Ye, C., 2023, Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings. Frangi, A., de Bruijne, M., Wassermann, D. & Navab, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 225-236 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13939 LNCS).

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

    3 Citations (Scopus)
  • 2022

    An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation

    Zheng, T., Zheng, W., Sun, Y., Zhang, Y., Ye, C. & Wu, D., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13431 LNCS).

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

    4 Citations (Scopus)
  • Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

    Xu, C., Wen, Z., Liu, Z. & Ye, C., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 150-159 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13432 LNCS).

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

    5 Citations (Scopus)
  • Improved White Matter Tract Segmentation for Unannotated Dataset

    Zeng, Y., Liu, W., Liu, Z. & Ye, C., 21 Oct 2022, CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings. Association for Computing Machinery, p. 388-392 5 p. (ACM International Conference Proceeding Series).

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

  • One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

    Liu, W., Lu, Q., Zhuo, Z., Liu, Y. & Ye, C., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 133-142 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13431 LNCS).

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

    Open Access
    4 Citations (Scopus)
  • 2021

    CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

    Zhang, X., Liu, C., Ou, N., Zeng, X., Xiong, X., Yu, Y., Liu, Z. & Ye, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., 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. 196-205 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12901 LNCS).

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

    Open Access
    14 Citations (Scopus)
  • Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects

    Liu, C., Zeng, X., Liang, K., Yu, Y. & Ye, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., 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. 186-195 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12901 LNCS).

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

    4 Citations (Scopus)
  • Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts

    Lu, Q. & Ye, C., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 216-227 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12729 LNCS).

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

    6 Citations (Scopus)
  • Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations

    Zhao, Z., Pang, F., Liu, Z. & Ye, C., 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. 509-518 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12908 LNCS).

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

    Open Access
    10 Citations (Scopus)
  • Pretraining Improves Deep Learning Based Tissue Microstructure Estimation

    Li, Y., Qin, Y., Liu, Z. & Ye, C., 2021, Computational Diffusion MRI - International MICCAI Workshop. Gyori, N., Hutter, J., Nath, V., Palombo, M., Pizzolato, M. & Zhang, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 173-185 13 p. (Mathematics and Visualization).

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

    3 Citations (Scopus)
  • Volume Preserving Brain Lesion Segmentation

    Liu, Y., Zeng, X. & Ye, C., 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. 60-69 10 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

  • 2020

    Frequency-selective learning for ct to mr synthesis

    Lin, Z., Zhong, M., Zeng, X. & Ye, C., 2020, Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Burgos, N., Svoboda, D., Wolterink, J. M. & Zhao, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 101-109 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12417 LNCS).

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

    1 Citation (Scopus)
  • Knowledge Transfer between Datasets for Learning-Based Tissue Microstructure Estimation

    Qin, Y., Li, Y., Liu, Z. & Ye, C., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1530-1533 4 p. 9098410. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

    Open Access
    5 Citations (Scopus)
  • Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation

    Wang, S., Liang, K., Pan, C., Ye, C., Li, X., Liu, F., Yu, Y. & Wang, Y., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 772-776 5 p. 9098314. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

    Open Access
    6 Citations (Scopus)
  • Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions

    Liu, C., Pang, F., Liu, Y., Liang, K., Li, X., Zeng, X. & Ye, C., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 279-282 4 p. 9098565. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

    4 Citations (Scopus)
  • White Matter Tract Segmentation with Self-supervised Learning

    Lu, Q., Li, Y. & Ye, C., 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. 270-279 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

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

    6 Citations (Scopus)
  • 2019

    q-Space Learning with Synthesized Training Data

    Ye, C., Cui, Y. & Li, X., 2019, Mathematics and Visualization. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). Springer Heidelberg, p. 123-132 10 p. (Mathematics and Visualization).

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

    5 Citations (Scopus)
  • Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

    Cui, W., Liu, Y., Li, Y., Guo, M., Li, Y., Li, X., Wang, T., Zeng, X. & Ye, C., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer Verlag, p. 554-565 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

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

    136 Citations (Scopus)
  • Super-Resolved q-Space Deep Learning

    Ye, C., Qin, Y., Liu, C., Li, Y., Zeng, X. & Liu, Z., 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. 582-589 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 contributionpeer-review

    11 Citations (Scopus)
  • 2017

    Estimation of tissue microstructure using a deep network inspired by a sparse reconstruction framework

    Ye, C., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P.-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 466-477 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

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

    Open Access
    19 Citations (Scopus)
  • Fiber orientation estimation guided by a deep network

    Ye, C. & Prince, J. L., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 575-583 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

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

    Open Access
    7 Citations (Scopus)
  • Learning-based ensemble average propagator estimation

    Ye, C., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 593-601 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

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

  • 2016

    Estimation of fiber orientations using neighborhood information

    Ye, C., Zhuo, J., Gullapalli, R. P. & Prince, J. L., 2016, Computational Diffusion MRI - MICCAI Workshop, 2015. Rathi, Y., Fuster, A., Ghosh, A., Kaden, E. & Reisert, M. (eds.). Springer Heidelberg, p. 87-96 10 p. (Mathematics and Visualization; vol. none).

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

    Open Access
    1 Citation (Scopus)
  • Fiber orientation estimation using nonlocal and local information

    Ye, C., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Wells, W. & Unal, G. (eds.). Springer Verlag, p. 97-105 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS).

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

    1 Citation (Scopus)
  • Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles

    Li, K., Ye, C., Yang, Z., Carass, A., Ying, S. H. & Prince, J. L., 2016, Medical Imaging 2016: Image Processing. Styner, M. A., Angelini, E. D. & Angelini, E. D. (eds.). SPIE, 97841H. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9784).

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

    Open Access
    5 Citations (Scopus)
  • 2015

    Probabilistic fiber tracking using a modified Lasso bootstrap method

    Ye, C., Glaister, J. & Prince, J. L., 21 Jul 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 943-946 4 p. 7164026. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

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

    Open Access
    1 Citation (Scopus)
  • Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging

    Xing, F., Ye, C., Woo, J., Stone, M. & Prince, J., 2015, Medical Imaging 2015: Image Processing. Styner, M. A. & Ourselin, S. (eds.). SPIE, 94131L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9413).

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

    Open Access
    10 Citations (Scopus)
  • 2014

    Automatic method for thalamus parcellation using multi-modal feature classification

    Stough, J. V., Glaister, J., Ye, C., Ying, S. H., Prince, J. L. & Carass, A., 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 169-176 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

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

    Open Access
    24 Citations (Scopus)
  • Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information

    Ye, C., Vaidya, V. & Zhao, F., 2 Nov 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., p. 2865-2868 4 p. 6944221. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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

    16 Citations (Scopus)
  • 2013

    Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model

    Ye, C., Bogovic, J. A., Ying, S. H. & Prince, J. L., 2013, Medical Imaging 2013: Image Processing. 866909. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 8669).

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

    Open Access
    8 Citations (Scopus)
  • Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model

    Ye, C., Bogovic, J. A., Ying, S. H. & Prince, J. L., 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 49-52 4 p. 6556409. (Proceedings - International Symposium on Biomedical Imaging).

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

    Open Access
    4 Citations (Scopus)
  • Thalamic parcellation from multi-modal data using random forest learning

    Stough, J. V., Ye, C., Ying, S. H. & Prince, J. L., 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 852-855 4 p. 6556609. (Proceedings - International Symposium on Biomedical Imaging).

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

    Open Access
    11 Citations (Scopus)
  • 2012

    A fiber tracking method guided by volumetric tract segmentation

    Ye, C., Bazin, P. L., Ying, S. H. & Prince, J. L., 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012. p. 137-142 6 p. 6164744. (Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis).

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

    3 Citations (Scopus)
  • Fully automatic segmentation of the dentate nucleus using diffusion weighted images

    Ye, C., Bogovic, J. A., Bazin, P. L., Prince, J. L. & Ying, S. H., 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings. p. 1128-1131 4 p. 6235758. (Proceedings - International Symposium on Biomedical Imaging).

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

    2 Citations (Scopus)
  • Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation

    Ye, C., Bazin, P. L., Bogovic, J. A., Ying, S. H. & Prince, J. L., 2012, Medical Imaging 2012: Image Processing. 831447. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 8314).

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

    4 Citations (Scopus)