Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Skin Cancer Classification with Deep Learning: A Systematic Review
A systematic review of deep learning methods for skin cancer classification, discussing key challenges such as domain adaptability and data imbalance.
Yinhao Wu, Bin Chen, An Zeng, Dan Pan, Ruixuan Wang, Shen Zhao. (2022). Skin Cancer Classification with Deep Learning: A Systematic Review. Frontiers in Oncology, 12:893972.
Download Paper
DECIDE: A Decoupled Semantic and Boundary Learning Network for Precise Osteosarcoma Segmentation by Integrating Multimodal MRI
A multimodal MRI framework that combines feature fusion and joint semantic-boundary learning for automated osteosarcoma segmentation.
Yinhao Wu, Jianqi Li, Xinxin Wang, Zhaohui Zhang, Shen Zhao. (2024). DECIDE: A Decoupled Semantic and Boundary Learning Network for Precise Osteosarcoma Segmentation by Integrating Multimodal MRI. Computers in Biology and Medicine, 108308.
Download Paper
VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models
A two-stage framework for fine-grained vertebrae classification that combines position-aware foundation-model features and image-text alignment.
Yinhao Wu, Jinzhou Tang, Zequan Yao, Yuan Hong, Dongdong Yu, Bin Chen, Zhifan Gao, Mingjie Li, Shen Zhao. (2024). VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models. MICCAI 2024. Lecture Notes in Computer Science, vol. 15012. Springer, Cham.
Download Paper
Guideline-Informed MLLM Reasoning for Pathology-Aware Post-Operative Prostate CTV Segmentation
A multimodal reasoning framework that integrates pathology knowledge and visual context for post-operative prostate CTV segmentation.
Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma, Yuzhi Guo, Dan Nguyen, Daniel X. Yang, Steve B. Jiang, Junzhou Huang. (2026). Guideline-Informed MLLM Reasoning for Pathology-Aware Post-Operative Prostate CTV Segmentation. Medical Imaging with Deep Learning (MIDL).
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.