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Hua Li

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  • 2024

    Medical Image Classification Using Self-Supervised Learning-Based Masked Autoencoder

    Fan, Z., Wang, Z., Gong, P., Lee, C. U., Tang, S., Zhang, X., Hao, Y., Zhang, Z., Song, P., Chen, S. & Li, H., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 129260G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Self-supervised learning based on StyleGAN for medical image classification on small labeled dataset

    Fan, Z., Wang, Z., Zhang, C., Özbey, M., Villa, U., Hao, Y., Zhang, Z., Wang, X. & Li, H., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 1292630. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transformer-based classifier with feature aggregation for cancer subtype classification on histopathological images

    Zhang, C., Fan, Z., Wang, Z., Sun, L., Hao, Y., Zhang, Z., Thorstad, W., Gay, H., Wang, X., Anastasio, M. A. & Li, H., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 1292633. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images

    Fan, Z., Gong, P., Zhang, X., Wang, Z., Hao, Y., Song, P., Chen, S. & Li, H., 2023, Medical Imaging 2023: Image Processing. Colliot, O. & Isgum, I. (eds.). SPIE, 1246406. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12464).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep-Supervised Adversarial Learning-based Classification For Digital Histologic Images

    Wang, Z., Fan, Z., Sun, L., Hao, Y., Gay, H. A., Thorstad, W. L., Wang, X. & Li, H., 2023, Medical Imaging 2023: Digital and Computational Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 124711V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12471).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers

    Li, K., Zhou, W., Li, H. & Anastasio, M. A., 2023, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R. & Chen, Y. (eds.). SPIE, 124670I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12467).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy

    Brochet, T., Lapuyade-Lahorgue, J., Li, H., Vera, P., Decazes, P. & Ruan, S., 2023, 2023 12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023. Institute of Electrical and Electronics Engineers Inc., (2023 12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semi-supervised Contrastive Learning for White Blood Cell Segmentation from Label-free Quantitative Phase Imaging

    Sengupta, S., Fanous, M., Li, H. & Anastasio, M. A., 2023, Medical Imaging 2023: Digital and Computational Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 124710E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12471).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    Application of DatasetGAN in medical imaging: preliminary studies

    Fan, Z., Kelkar, V., Anastasio, M. A. & Li, H., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 120321O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • A Task-informed Model Training Method for Deep Neural Network-based Image Denoising

    Li, K., Li, H. & Anastasio, M. A., 2022, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Taylor-Phillips, S. (eds.). SPIE, 1203510. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12035).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    Advancing the AmbientGAN for learning stochastic object models

    Zhou, W., Bhadra, S., Brooks, F. J., Granstedt, J. L., Li, H. & Anastasio, M. A., 2021, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 115990A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11599).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Deep learning-based multi-class COVID-19 classification with x-ray images

    Fan, Z., He, S., Ruan, S., Wang, X. & Li, H., 2021, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. Linte, C. A. & Siewerdsen, J. H. (eds.). SPIE, 1159813. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11598).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning-based ideal observer approximation for joint detection and estimation tasks

    Li, K., Zhou, W., Li, H. & Anastasio, M. A., 2021, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 115990F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11599).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Task-based evaluation of deep image super-resolution in medical imaging

    Kelkar, V. A., Zhang, X., Granstedt, J., Li, H. & Anastasio, M. A., 2021, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 115990X. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11599).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Task-based performance evaluation of deep neural network-based image denoising

    Li, K., Zhou, W., Li, H. & Anastasio, M. A., 2021, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 115990L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11599).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction

    Guo, Y., Decazes, P., Becker, S., Li, H. & Ruan, S., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 2018-2021 4 p. 9098477. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning numerical observers using unsupervised domain adaptation

    He, S., Zhou, W., Li, H. & Anastasio, M. A., 2020, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 113160W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11316).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements

    Zhou, W., Bhadra, S., Brooks, F. J., Li, H. & Anastasio, M. A., 2020, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 113160Q. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11316).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2018

    Active learning with noise modeling for medical image annotation

    Wu, J., Ruan, S., Lian, C., Mutic, S., Anastasio, M. A. & Li, H., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 298-301 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images

    He, S., Zheng, J., Maehara, A., Mintz, G., Tang, D., Anastasio, M. & Li, H., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 1057432. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10574).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method

    Wu, J., Ruan, S., Mazur, T. R., Daniel, N., Lashmett, H., Ochoa, L., Zoberi, I., Lian, C., Gach, H. M., Mutic, S., Thomas, M., Anastasio, M. A. & Li, H., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 1153-1156 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion

    Lian, C., Li, H., Vera, P. & Ruan, S., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 220-223 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2017

    Adaptive low-rank multi-label active learning for image classification

    Wu, J., Guo, A., Sheng, V. S., Zhao, P., Cui, Z. & Li, H., Oct 23 2017, MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery, p. 1336-1344 9 p. (MM 2017 - Proceedings of the 2017 ACM Multimedia Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning-based stochastic object models for use in optimizing imaging systems

    Dolly, S. R., Anastasio, M. A., Yu, L. & Li, H., 2017, Medical Imaging 2017: Physics of Medical Imaging. Schmidt, T. G., Lo, J. Y. & Flohr, T. G. (eds.). SPIE, 101321T. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10132).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Task-based image quality assessment in radiation therapy: Initial characterization and demonstration with CT simulation images

    Dolly, S. R., Anastasio, M. A., Yu, L. & Li, H., 2017, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Nishikawa, R. M. & Kupinski, M. A. (eds.). SPIE, 101360Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10136).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

    Lian, C., Ruan, S., Denoeux, T., Li, H. & Vera, P., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 1177-1180 4 p. 7950726. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2016

    Robust cancer treatment outcome prediction dealing with small-sized and imbalanced data from FDG-PET images

    Lian, C., Ruan, S., Denœux, T., Li, H. & Vera, P., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Ourselin, S., Joskowicz, L., Sabuncu, M. R. & Wells, W. (eds.). Springer, p. 61-69 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2015

    Dempster-Shafer theory based feature selection with sparse constraint for outcome prediction in cancer therapy

    Lian, C., Ruan, S., Denœux, T., Li, H. & Vera, P., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings. Frangi, A. F., Navab, N., Hornegger, J. & Wells, W. M. (eds.). Springer, p. 695-702 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2012

    Onboard cone beam CT with flexible image trajectories to improve image quality and longitudinal coverage - Simulation and phantom study

    Yang, D., Tan, J., Li, H., Goddu, S. M. & Li, H., 2012, Medical Imaging 2012: Physics of Medical Imaging. 83132Q. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 8313).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2010

    Evaluation of dual-front active contour segmentation and metal shadow filling methods on metal artifact reduction in multi-slice helical CT

    Li, H., Yu, L., Guimaraes, L. S., Fletcher, J. G. & McCollough, C. H., 2010, Medical Imaging 2010: Physics of Medical Imaging. PART 2 ed. 76222N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7622, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2009

    3D multi-branch tubular surface and centerline extraction with 4D iterative key points

    Li, H., Yezzi, A. & Cohen, L., 2009, Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings. PART 2 ed. p. 1042-1050 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5762 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Metal artifact suppression from reformatted projections in multi-slice helical CT using dual-front active contours

    Li, H., Yu, L., Liu, X. & McCollough, C. H., 2009, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, p. 993-996 4 p. 5333100. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging

    Liu, X., Primak, A. N., Yu, L., Li, H., Krier, J. D., Lerman, L. O. & McCollough, C. H., 2009, Medical Imaging 2009: Physics of Medical Imaging. 72581T. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7258).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2008

    A fast inverse consistent deformable image registration method based on symmetric optical flow computation

    Yang, D., Li, H., Low, D. A., Deasy, J. O. & Naqa, I. E., 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. p. 1931-1935 5 p. 5074766. (Conference Record - Asilomar Conference on Signals, Systems and Computers).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2006

    Vessels as 4D curves: Global minimal 4D paths to extract 3D tubular surfaces

    Li, H. & Yezzi, A., 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop. 1640523. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2005

    A hybrid medical image segmentation approach based on dual-front evolution model

    Li, H. & Yezzi, A., 2005, IEEE International Conference on Image Processing 2005, ICIP 2005. IEEE Computer Society, p. 807-810 4 p. 1530179. (Proceedings - International Conference on Image Processing, ICIP; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fast 3D brain segmentation using dual-front active contours with optional user-interaction

    Li, H., Yezzi, A. & Cohen, L. D., 2005, Computer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings. Springer, p. 335-345 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3765 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Local or global minima: Flexible dual-front active contours

    Li, H. & Yezzi, A., 2005, Computer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings. Springer, p. 356-366 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3765 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution