Tumor Segmentation and Survival Prediction in Glioma with Deep Learning. - Li Sun 010; Songtao Zhang; Lin Luo 006 (BrainLes@MICCAI (2), 2018)

Structure-Aware Staging for Breast Cancer Metastases. - Songtao Zhang; Li Sun 010; Ruiqiao Wang; Hongping Tang; Jin Zhang; Lin Luo 006 (RAMBO+BIA+TIA@MICCAI, 2018)

Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images. - Songtao Zhang; Qingwen Ni; Bing Li; Shan Jiang; Wenyu Cai; Hang Chen; Lin Luo 006 (MICCAI (5), 2020)

PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images. - Wenkang Qin; Rui Xu; Shan Jiang; Tingting Jiang 001; Lin Luo 006 (ACCV (6), 2022)

Pathological Image Contrastive Self-supervised Learning. - Wenkang Qin; Shan Jiang; Lin Luo 006 (REMIA@MICCAI, 2022)

Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. - Peixiang Huang; Songtao Zhang; Yulu Gan; Rui Xu; Rongqi Zhu; Wenkang Qin; Limei Guo; Shan Jiang; Lin Luo 006 (BIBM, 2023)

SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. - Rui Xu; Wenkang Qin; Peixiang Huang; Hao Wang; Lin Luo 006 (BMVC, 2023)

What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning. - Wenkang Qin; Rui Xu; Peixiang Huang; Xiaomin Wu; Heyu Zhang; Lin Luo 006 (CoRR, 2023)

PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology. - Xiaomin Wu; Rui Xu; Pengchen Wei; Wenkang Qin; Peixiang Huang; Ziheng Li; Lin Luo 006 (CoRR, 2024)