Shi Gu
Orcid: 0000-0003-2303-6770
According to our database1,
Shi Gu
authored at least 29 papers
between 2012 and 2024.
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Bibliography
2024
Int. J. Comput. Vis., September, 2024
Self-supervised learning for medical image data with anatomy-oriented imaging planes.
Medical Image Anal., 2024
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data.
CoRR, 2024
2023
Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
2022
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging, 2021
Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations.
NeuroImage, 2021
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
J. Nonlinear Sci., 2020
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2017
NeuroImage, 2017
2016
2014
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012