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2020 – today
- 2024
[i9]Chenxi Qiu, Ruiyao Liu, Primal Pappachan, Anna Cinzia Squicciarini, Xinpeng Xie:
Scalable Optimization for Locally Relevant Geo-Location Privacy. CoRR abs/2407.13725 (2024)- [i8]Chenyang Yu, Xinpeng Xie, Yan Huang, Chenxi Qiu:
Harnessing LLMs for Cross-City OD Flow Prediction. CoRR abs/2409.03937 (2024) - [i7]Sourabh Yadav, Chenyang Yu, Xinpeng Xie, Yan Huang, Chenxi Qiu:
Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation. CoRR abs/2409.09495 (2024) - 2022
- [j5]Jiawei Chen, Ziqi Zhang
, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng:
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. IEEE Trans. Medical Imaging 41(3): 595-607 (2022) - 2020
- [j4]Xuechen Li, Linlin Shen, Xinpeng Xie, Shiyun Huang, Zhien Xie, Xian Hong, Juan Yu:
Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection. Artif. Intell. Medicine 103: 101744 (2020) - [j3]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c8]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. ECCV (20) 2020: 498-513 - [c7]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-Aware Self-supervised Learning for Nuclei Segmentation. MICCAI (5) 2020: 341-350 - [c6]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. MICCAI (2) 2020: 516-525 - [c5]Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. MICCAI (1) 2020: 614-623 - [i6]Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation. CoRR abs/2007.09854 (2020) - [i5]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. CoRR abs/2007.11180 (2020) - [i4]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-aware Self-supervised Learning for Nuclei Segmentation. CoRR abs/2007.11186 (2020)
2010 – 2019
- 2019
- [j2]Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reverse active learning based atrous DenseNet for pathological image classification. BMC Bioinform. 20(1): 445:1-445:15 (2019) - [c4]Wenting Chen, Xinpeng Xie, Xi Jia, Linlin Shen:
Texture Deformation Based Generative Adversarial Networks for Multi-domain Face Editing. PRICAI (1) 2019: 257-269 - 2018
- [j1]Youdong Li, Xinpeng Xie, Quansheng Liu:
Study on longitudinal emission reduction investment of supply chain and government's subsidy policy. J. Intell. Fuzzy Syst. 34(2): 1177-1186 (2018) - [c3]Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen:
GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. ICTAI 2018: 20-24 - [c2]Yuexiang Li, Xuechen Li, Xinpeng Xie, Linlin Shen:
Deep learning based gastric cancer identification. ISBI 2018: 182-185 - [c1]Xinpeng Xie, Yuexiang Li, Menglu Zhang, Linlin Shen:
Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN. BrainLes@MICCAI (1) 2018: 428-436 - [i3]Xinpeng Xie, Yuexiang Li, Linlin Shen:
Active Learning for Breast Cancer Identification. CoRR abs/1804.06670 (2018) - [i2]Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. CoRR abs/1807.02420 (2018) - [i1]Wenting Chen, Xinpeng Xie, Xi Jia, Linlin Shen:
Texture Deformation Based Generative Adversarial Networks for Face Editing. CoRR abs/1812.09832 (2018)
Coauthor Index
aka: Linlin Shen
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