Xin Wang

Orcid: 0000-0002-1800-8110

Affiliations:
  • Shanghai Jiao Tong University, School of Biomedical Engineering, Shanghai, China


According to our database1, Xin Wang authored at least 12 papers between 2022 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Randomizing Human Brain Function Representation for Brain Disease Diagnosis.
IEEE Trans. Medical Imaging, July, 2024

Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment.
Neural Networks, 2024

Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing.
Medical Image Anal., 2024

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening.
CoRR, 2024

Affinity Learning Based Brain Function Representation for Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis.
CoRR, 2023

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.
CoRR, 2023

Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation.
CoRR, 2022


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