| Reconstructing unsteady flow data from representative streamlines via diffusion and deep-learning-based denoising P Gu, J Han, DZ Chen, C Wang IEEE Computer Graphics and Applications 41 (6), 111-121, 2021 | 19 | 2021 |
| kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation P Gu, H Zheng, Y Zhang, C Wang, DZ Chen Medical Image Computing and Computer Assisted Interventions (MICCAI 2021 …, 2021 | 10 | 2021 |
| Current and future directions in network biology M Zitnik, MM Li, A Wells, K Glass, DM Gysi, A Krishnan, TM Murali, ... arXiv preprint arXiv:2309.08478, 2023 | 7 | 2023 |
| SamDSK: Combining segment anything model with domain-specific knowledge for semi-supervised learning in medical image segmentation Y Zhang, T Zhou, S Wang, Y Wu, P Gu, DZ Chen arXiv preprint arXiv:2308.13759, 2023 | 7 | 2023 |
| Scalar2Vec: Translating scalar fields to vector fields via deep learning P Gu, J Han, DZ Chen, C Wang IEEE 15th Pacific Visualization Symposium (PacificVis 2022), 31-40, 2022 | 7 | 2022 |
| Intracker: an integrated detector-tracker framework for cell detection and tracking P Liang, J Chen, Y Zhang, H Wang, H Zheng, P Gu, D Chen IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS …, 2020 | 6 | 2020 |
| ConvFormer: Combining CNN and Transformer for Medical Image Segmentation P Gu*, Y Zhang*, C Wang, DZ Chen 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), 2023 | 4 | 2023 |
| SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings Y Zhang, P Gu, N Sapkota, DZ Chen Medical Image Computing and Computer Assisted Interventions (MICCAI 2023), 2023 | 3 | 2023 |
| Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images Y Zhang, N Sapkota, P Gu, Y Peng, H Zheng, DZ Chen IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2022), 2022 | 3 | 2022 |
| TestFit: A plug-and-play one-pass test time method for medical image segmentation Y Zhang, T Zhou, Y Tao, S Wang, Y Wu, B Liu, P Gu, Q Chen, DZ Chen Medical Image Analysis, 2024 | 2 | 2024 |
| Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction H Wang, Y Yang, Z Zhao, P Gu, DZ Chen 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024 | 1 | 2024 |
| NeRVI: Compressive neural representation of visualization images for communicating volume visualization results P Gu, DZ Chen, C Wang Computers & Graphics 116, 216-227, 2023 | 1 | 2023 |
| GrNT: Gate-regularized network training for improving multi-scale fusion in medical image segmentation Y Zhang*, P Gu*, Y Zhang, C Wang, DZ Chen 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), 2023 | 1 | 2023 |
| A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning Y Zhang*, P Gu*, N Sapkota, H Zheng, P Liang, DZ Chen 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), 2023 | 1 | 2023 |
| Self Pre-training with Topology-and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation P Gu, Y Zhang, H Li, H Wang, Y Zhang, C Wang, DZ Chen arXiv preprint arXiv:2406.10519, 2024 | | 2024 |
| Boosting Medical Image Classification with Segmentation Foundation Model P Gu, Z Zhao, H Wang, Y Peng, Y Zhang, N Sapkota, C Wang, DZ Chen 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024 | | 2024 |
| Approximate set union via approximate randomization B Fu, P Gu, Y Zhao Theoretical Computer Science 890, 210-239, 2021 | | 2021 |
| Polyhedral Circuits and Their Applications B Fu, P Gu, Y Zhao International Conference on Algorithmic Applications in Management (AAIM …, 2020 | | 2020 |
