Shichuan Zhang

According to our database1, Shichuan Zhang authored at least 32 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Masked Conditional Variational Autoencoders for Chromosome Straightening.
IEEE Trans. Medical Imaging, January, 2024

Gradient-aware learning for joint biases: Label noise and class imbalance.
Neural Networks, 2024

DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation.
Medical Image Anal., 2024

Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation.
Neurocomputing, 2024

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning.
CoRR, 2024

Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis.
CoRR, 2024

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023

Semi-supervised Cell Recognition under Point Supervision.
CoRR, 2023

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision.
CoRR, 2023

Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Exploring Unsupervised Cell Recognition with Prior Self-activation Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Medical Image Anal., 2022

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images.
CoRR, 2022

End-to-End Cell Recognition by Point Annotation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Category Separation For Weakly Supervised Multi-Class Cell Counting.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention.
Neurocomputing, 2021

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning.
CoRR, 2021

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
A Hierarchical Framwork with Improved Loss for Large-scale Multi-modal Video Identification.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019


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