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Lin Luo 0006
Person information
- affiliation: Peking University, College of Engineering, Beijing, China
- affiliation: Southern University of Science and Technology, Shenzhen, China
Other persons with the same name
- Lin Luo — disambiguation page
- Lin Luo 0001 — Southwest Jiaotong University, School of Physical Science and Technology, Chengdu, China
- Lin Luo 0002 — University of South Australia, Institute for Telecommunications Research, Mawson Lakes, Australia (and 1 more)
- Lin Luo 0003 — Marvell, Inc., San Jose, CA, USA (and 1 more)
- Lin Luo 0004 — IBM China Research Laboratory, Beijing, China (and 1 more)
- Lin Luo 0005 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 2 more)
- Lin Luo 0007 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Lin Luo 0008 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China
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2020 – today
- 2024
- [i4]Xiaomin Wu, Rui Xu, Pengchen Wei, Wenkang Qin, Peixiang Huang, Ziheng Li, Lin Luo:
PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology. CoRR abs/2408.07037 (2024) - 2023
- [c7]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: 1144-1149 - [c6]Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo:
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. BMVC 2023: 828 - [i3]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 abs/2310.20427 (2023) - [i2]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 abs/2310.20607 (2023) - [i1]Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo:
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. CoRR abs/2311.05143 (2023) - 2022
- [c5]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: 115-131 - [c4]Wenkang Qin, Shan Jiang, Lin Luo:
Pathological Image Contrastive Self-supervised Learning. REMIA@MICCAI 2022: 85-94 - 2020
- [c3]Songtao Zhang, Qingwen Ni, Bing Li, Shan Jiang, Wenyu Cai, Hang Chen, Lin Luo:
Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images. MICCAI (5) 2020: 372-381
2010 – 2019
- 2018
- [c2]Li Sun, Songtao Zhang, Lin Luo:
Tumor Segmentation and Survival Prediction in Glioma with Deep Learning. BrainLes@MICCAI (2) 2018: 83-93 - [c1]Songtao Zhang, Li Sun, Ruiqiao Wang, Hongping Tang, Jin Zhang, Lin Luo:
Structure-Aware Staging for Breast Cancer Metastases. RAMBO+BIA+TIA@MICCAI 2018: 116-123
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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