Research output per year
Research output per year
- 10 results
Search results
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2023
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network
Lin, Y., Li, H., Liu, H., Shu, H., Li, Z., Hu, Y. & Liu, J., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data
Li, H., Li, H., Shu, H., Chen, J., Hu, Y. & Liu, J., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2022
BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Jia, Q. & Shu, H., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-14 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Shu, H., Shi, R., Jia, Q., Zhu, H. & Chen, Z., 2022, 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement
Li, H., Liu, H., Fu, H., Shu, H., Zhao, Y., Luo, X., Hu, Y. & Liu, J., 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. 487-496 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 proceeding › Conference contribution
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2021
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
Lyu, C. & Shu, H., 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. 435-447 13 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 proceeding › Conference contribution
Open Access -
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation
Tang, J., Li, T., Shu, H. & Zhu, H., 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. 431-440 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2019
Automatic brain tumor segmentation with domain adaptation
Dai, L., Li, T., Shu, H., Zhong, L., Shen, H. & Zhu, H., 2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Reyes, M., Bakas, S., van Walsum, T., Crimi, A., Keyvan, F. & Kuijf, H. (eds.). Springer Verlag, p. 380-392 13 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 proceeding › Conference contribution
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Sensitivity analysis of deep neural networks
Shu, H. & Zhu, H., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 4943-4950 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2018
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation
Li, T., Zhou, F., Zhu, Z., Shu, H. & Zhu, H., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 692-695 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access