• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1993 …2021

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Conference contribution

Search results

  • 2020

    6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks

    Bui, T. D., Wang, L., Lin, W., Li, G. & Shen, D., 2020 Apr 1, Proceedings - International Symposium on Biomedical Imaging. IEEE Computer Society, p. 359-362 4 p. 9098515. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

  • 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., 2020 Apr 1, Proceedings - 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 contribution

  • Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network

    Cheng, F., Chen, Y., Zong, X., Lin, W., Shen, D. & Yap, P. T., 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. 158-166 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

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

  • A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy

    the UNC/UMN Baby Connectome Project Consortium, 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. 13-21 9 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 contribution

  • A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

    the UNC/UMN Baby Connectome Program Consortium, 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. 646-656 11 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 contribution

    1 Citation (Scopus)
  • Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI

    Pei, Y., Wang, L., Zhao, F., Zhong, T., Liao, L., Shen, D. & Li, G., 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. 384-393 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 contribution

  • A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer’s Disease

    Ghanbari, M., Hsu, L. M., Zhou, Z., Ghanbari, A., Mo, Z., Yap, P. T., Zhang, H. & Shen, D., 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. 3-12 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 contribution

  • A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency

    Huo, J., Si, L., Ouyang, X., Xuan, K., Yao, W., Xue, Z., Wang, Q., Shen, D. & Zhang, L., 2020, Predictive Intelligence in Medicine - 3rd International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Valdés Hernández, M. D. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 200-209 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12329 LNCS).

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

  • Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image

    Xu, X., Lian, C., Wang, S., Wang, A., Royce, T., Chen, R., Lian, J. & Shen, D., 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. 470-479 10 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 contribution

  • Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data

    Guan, H., Yang, E., Yap, P. T., Shen, D. & Liu, M., 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. 31-40 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 contribution

  • Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

    Qin, T., Wang, Z., He, K., Shi, Y., Gao, Y. & Shen, DI., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1419-1423 5 p. 9053403. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

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

  • Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network

    Lang, Y., Lian, C., Xiao, D., Deng, H., Yuan, P., Gateno, J., Shen, S. G. F., Alfi, D. M., Yap, P. T., Xia, J. J. & Shen, D., 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. 817-826 10 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 contribution

  • Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging

    Huynh, K. M., Wu, Y., Thung, K. H., Ahmad, S., Taylor IV, H. P., Shen, D. & Yap, P. T., 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. 354-363 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 contribution

  • Construction of Spatiotemporal Infant Cortical Surface Functional Templates

    the UNC/UMN Baby Connectome Project Consortium, 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. 238-248 11 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 contribution

  • Curadiomics: A GPU-based radiomics feature extraction toolkit

    Jiao, Y., Ijurra, O. M., Zhang, L., Shen, D. & Wang, Q., 2020, Radiomics and Radiogenomics in Neuro-oncology - 1st International Workshop, RNO-AI 2019, held in Conjunction with MICCAI 2019, Proceedings. Mohy-ud-Din, H. & Rathore, S. (eds.). Springer, p. 44-52 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11991 LNCS).

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

    1 Citation (Scopus)
  • Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction

    Chen, S., Sun, S., Huang, X., Shen, D., Wang, Q. & Liao, S., 2020, Machine Learning for Medical Image Reconstruction - 3rd International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Proceedings. Deeba, F., Johnson, P., Würfl, T. & Ye, J. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 82-90 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12450 LNCS).

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

  • Deep disentangled hashing with momentum triplets for neuroimage search

    Yang, E., Yao, D., Cao, B., Guan, H., Yap, P. T., Shen, D. & Liu, M., 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. 191-201 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12261 LNCS).

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

  • Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences

    Xing, X., Jin, L., Li, Q., Chen, L., Xue, Z., Peng, Z., Shi, F. & Shen, D., 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 121-130 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12443 LNCS).

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

  • Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting

    for UNC/UMN Baby Connectome Project Consortium, 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. 72-82 11 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 contribution

  • Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains

    Zhong, T., Zhang, Y., Zhao, F., Pei, Y., Liao, L., Ning, Z., Wang, L., Shen, D. & Li, G., 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. 22-32 11 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 contribution

  • Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks

    the UNC/UMN Baby Connectome Project Consortium, 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. 280-290 11 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 contribution

  • Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts

    the UNC/UMN Baby Connectome Project Consortium, 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. 34-43 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

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

  • Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN

    Liu, Y., Liu, M., Xi, Y., Qin, G., Shen, D. & Yang, W., 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. 678-687 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

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

  • Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity

    Wu, Y., Hong, Y., Ahmad, S., Chang, W. T., Lin, W., Shen, D. & Yap, P. T., 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. 260-269 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 contribution

  • Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling

    Yao, L., Jiang, P., Xue, Z., Zhan, Y., Wu, D., Zhang, L., Wang, Q., Shi, F. & Shen, D., 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. 474-483 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 contribution

  • Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization

    Zhang, S., Du, L., Lv, J., He, Z., Jiang, X., Guo, L., Wang, L., Liu, T., Shen, D., Li, G. & Zhang, T., 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. 394-403 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 contribution

  • Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model

    Ke, J., Shen, Y., Wright, J. D., Jing, N., Liang, X. & Shen, D., 2020 Dec 16, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. Park, T., Cho, Y-R., Hu, X. T., Yoo, I., Woo, H. G., Wang, J., Facelli, J., Nam, S. & Kang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1043-1046 4 p. 9313141. (Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020).

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

  • Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features

    Zhang, X., Cheng, J., Ni, H., Li, C., Xu, X., Wu, Z., Wang, L., Lin, W., Shen, D. & Li, G., 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. 134-144 11 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 contribution

  • Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer

    Xiao, B., He, N., Wang, Q., Xue, Z., Chen, L., Yan, F., Shi, F. & Shen, D., 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. 241-249 9 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 contribution

  • Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning

    Liao, L., Zhang, X., Zhao, F., Zhong, T., Pei, Y., Xu, X., Wang, L., Zhang, H., Shen, D. & Li, G., 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. 415-424 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12266 LNCS).

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

  • Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline

    Liu, Y., Pan, Y., Yang, W., Ning, Z., Yue, L., Liu, M. & Shen, D., 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. 583-592 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 contribution

  • Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints

    Hu, S., Zhang, L., Xu, Y. & Shen, D., 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. 210-219 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 contribution

  • LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI

    Ning, Z., Zhang, Y., Pan, Y., Zhong, T., Liu, M. & Shen, D., 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. 170-179 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 contribution

  • Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network

    Guan, H., Yang, E., Wang, L., Yap, P. T., Liu, M. & Shen, D., 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. 111-119 9 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 contribution

  • mr$$^2$$ NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography

    Wang, S., Huo, J., Ouyang, X., Che, J., Xue, Z., Shen, D., Wang, Q. & Cheng, J. Z., 2020, Predictive Intelligence in Medicine - 3rd International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Valdés Hernández, M. D. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 169-177 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12329 LNCS).

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

  • Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT

    Lian, C., Wang, F., Deng, H. H., Wang, L., Xiao, D., Kuang, T., Lin, H. Y., Gateno, J., Shen, S. G. F., Yap, P. T., Xia, J. J. & Shen, D., 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. 807-816 10 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 contribution

  • Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network

    Gu, D., Cao, X., Ma, S., Chen, L., Liu, G., Shen, D. & Xue, Z., 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. 171-180 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12263 LNCS).

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

  • Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment

    Chen, L., Cao, X., Chen, L., Gao, Y., Shen, D., Wang, Q. & Xue, Z., 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. 181-189 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12263 LNCS).

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

  • Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI

    Yao, D., Sui, J., Yang, E., Yap, P. T., Shen, D. & Liu, M., 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. 1-10 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 contribution

  • Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles

    the UNC/UMN Baby Connectome Project Consortium, 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. 251-259 9 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 contribution

  • Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images

    Li, T., Wang, Z., Chen, Y., Zhang, L., Gao, Y., Shi, F., Qian, D., Wang, Q. & Shen, D., 2020, Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Petersen, J., San José Estépar, R., Schmidt-Richberg, A., Gerard, S., Lassen-Schmidt, B., Jacobs, C., Beichel, R. & Mori, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12502 LNCS).

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

  • Unsupervised Learning for Spherical Surface Registration

    the UNC/UMN Baby Connectome Project Consortium, 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. 373-383 11 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 contribution

  • 2019

    Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis

    Wang, Z., Jie, B., Bian, W., Zhang, D., Shen, D. & Liu, M., 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. 18-26 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 contribution

  • A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI

    for UNC/UMN Baby Connectome Project Consortium, 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, p. 754-762 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 contribution

    2 Citations (Scopus)
  • A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism

    Li, G., Chen, M. H., Li, G., Wu, D., Lian, C., Sun, Q., Shen, D. & Wang, L., 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. 164-171 8 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 contribution

    3 Citations (Scopus)
  • A preliminary volumetric mri study of amygdala and hippocampal subfields in autism during infancy

    Li, G., Chen, M. H., Li, G., Wu, D., Sun, Q., Shen, D. & Wang, L., 2019 Apr, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1052-1056 5 p. 8759439. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

    2 Citations (Scopus)
  • Asymmetry Spectrum Imaging for Baby Diffusion Tractography

    and the UNC/UMN Baby Connectome Project Consortium, 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer Verlag, p. 319-331 13 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 contribution

    3 Citations (Scopus)
  • Automated Parcellation of the Cortex Using Structural Connectome Harmonics

    Taylor IV, H. P., Wu, Z., Wu, Y., Shen, D., Zhang, H. & Yap, P. T., 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, p. 475-483 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 contribution

  • Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN

    Lang, Y., Wang, L., Yap, P. T., Lian, C., Deng, H., Thung, K. H., Xiao, D., Yuan, P., Shen, S. G. F., Gateno, J., Kuang, T., Alfi, D. M., Xia, J. J. & Shen, D., 2019 Jan 1, 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. 130-137 8 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 contribution

    2 Citations (Scopus)
  • Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision

    Lou, J., Li, D., Bui, T. D., Zhao, F., Sun, L., Li, G. & Shen, D., 2019 Jan 1, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer, p. 592-600 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

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

    4 Citations (Scopus)