Pengfei Gu
Orcid: 0000-0003-2160-1078
According to our database1,
Pengfei Gu
authored at least 38 papers
between 2018 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., November, 2024
RVIO: An Effective Localization Algorithm for Range-Aided Visual-Inertial Odometry System.
IEEE Trans. Intell. Transp. Syst., February, 2024
Medical Image Anal., February, 2024
IEEE Trans. Instrum. Meas., 2024
X-RMTV: An Integrated Approach for Requirement Modeling, Traceability Management, and Verification in MBSE.
Syst., 2024
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network.
CoRR, 2024
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR, 2024
Proceedings of the IEEE Visualization and Visual Analytics, 2024
Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Path-Gptomic: A Balanced Multi-Modal Learning Framework For Survival Outcome Prediction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
NeRVI: Compressive neural representation of visualization images for communicating volume visualization results.
Comput. Graph., November, 2023
MO-CBACORP: A new energy-efficient secure routing protocol for underwater monitoring wireless sensor network.
J. King Saud Univ. Comput. Inf. Sci., October, 2023
IEEE Robotics Autom. Lett., June, 2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
CoRR, 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.
CoRR, 2023
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
3-D-Printed Wideband High-Efficiency Dual-Frequency Antenna for Vehicular Communications.
IEEE Trans. Veh. Technol., 2022
Visual Localization and Mapping Leveraging the Constraints of Local Ground Manifolds.
IEEE Robotics Autom. Lett., 2022
An Integrated Intelligent Modeling and Simulation Language for Model-based Systems Engineering.
J. Ind. Inf. Integr., 2022
Optimal Design of Flexible Job Shop Scheduling Under Resource Preemption Based on Deep Reinforcement Learning.
Complex Syst. Model. Simul., 2022
Real-Time Visual Inertial Odometry with a Resource-Efficient Harris Corner Detection Accelerator on FPGA Platform.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
2021
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications, 2021
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
X Language: An Integrated Intelligent Modeling and Simulation Language for Complex Products.
Proceedings of the Annual Modeling and Simulation Conference, 2021
2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the Algorithmic Aspects in Information and Management, 2020
2018