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2020 – today
- 2024
[j1]Boxiang Yun
, Baiying Lei, Jieneng Chen, Huiyu Wang, Song Qiu, Wei Shen, Qingli Li, Yan Wang:
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4610-4624 (2024)- [c5]Ling Zhang, Boxiang Yun, Xingran Xie, Qingli Li, Xinxing Li, Yan Wang:
Prompting Whole Slide Image Based Genetic Biomarker Prediction. MICCAI (4) 2024: 407-417 - [c4]Haichuan Dong, Runjie Zhou, Boxiang Yun, Huihui Zhou, Benyan Zhang, Qingli Li, Yan Wang:
Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation. MICCAI (8) 2024: 456-466 - [i4]Ling Zhang, Boxiang Yun, Xingran Xie, Qingli Li, Xinxing Li, Yan Wang:
Prompting Whole Slide Image Based Genetic Biomarker Prediction. CoRR abs/2407.09540 (2024) - [i3]Yadong Lu, Shitian Zhao, Boxiang Yun, Dongsheng Jiang, Yin Li, Qingli Li, Yan Wang:
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype. CoRR abs/2408.09984 (2024) - [i2]Yunhao Bai, Qinji Yu, Boxiang Yun, Dakai Jin, Yingda Xia, Yan Wang:
FS-MedSAM2: Exploring the Potential of SAM2 for Few-Shot Medical Image Segmentation without Fine-tuning. CoRR abs/2409.04298 (2024) - 2023
- [c3]Boxiang Yun, Qingli Li, Lubov B. Mitrofanova, Chunhua Zhou, Yan Wang:
Factor Space and Spectrum for Medical Hyperspectral Image Segmentation. MICCAI (4) 2023: 152-162 - [c2]Xingran Xie, Ting Jin, Boxiang Yun, Qingli Li, Yan Wang:
Exploring Hyperspectral Histopathology Image Segmentation from a Deformable Perspective. ACM Multimedia 2023: 242-251 - [c1]Boxiang Yun, Xingran Xie, Qingli Li, Yan Wang:
Uni-Dual: A Generic Unified Dual-Task Medical Self-Supervised Learning Framework. ACM Multimedia 2023: 3887-3896 - 2021
- [i1]Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li:
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation. CoRR abs/2103.03604 (2021)
Coauthor Index
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