Yanzhou Su

Orcid: 0000-0002-3377-469X

According to our database¹, Yanzhou Su authored at least 27 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2023

FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., May, 2023

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.

[BibT_eX]

[DOI]

Neurocomputing, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.

[BibT_eX]

[DOI]

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med3D.

[BibT_eX]

[DOI]

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med2D.

[BibT_eX]

[DOI]

CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Feature Propagation and Aggregation in Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Accurate Polyp Segmentation Framework via Feature Secondary Fusion.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.

[BibT_eX]

[DOI]

CoRR, 2022

FAPN: Feature Augmented Pyramid Network for polyp segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

How to design a deep neural network for retinal vessel segmentation: an empirical study.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

2021

TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Semantic Segmentation for High-Resolution Remote Sensing Images by Light-Weight Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification.

[BibT_eX]

[DOI]

CoRR, 2019

The General Pair-based Weighting Loss for Deep Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2019

A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Yanzhou Su

Timeline

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