Wenkang Qin

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 7

Top Topics

Training Patterns

Cmac Neural Network

Top Venues

Publications

Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. BIBM (2023)
Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. BMVC (2023)
Wenkang Qin, Rui Xu, Peixiang Huang, Xiaomin Wu, Heyu Zhang, Lin Luo
What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning. CoRR (2023)
Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. CoRR (2023)
Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. CoRR (2023)
Wenkang Qin, Shan Jiang, Lin Luo
Pathological Image Contrastive Self-supervised Learning. REMIA@MICCAI (2022)
Wenkang Qin, Rui Xu, Shan Jiang, Tingting Jiang, Lin Luo
PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images. ACCV (6) (2022)