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Jing Ke
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2020 – today
- 2024
- [j11]Chong Wang
, Shuxin Li
, Jing Ke
, Chen Zhang
, Yiqing Shen
:
RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. IEEE J. Biomed. Health Informatics 28(6): 3660-3671 (2024) - [j10]Mingxin Liu
, Yunzan Liu
, Pengbo Xu
, Hui Cui
, Jing Ke
, Jiquan Ma
:
Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Trans. Medical Imaging 43(8): 2888-2900 (2024) - [i4]Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen:
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR abs/2403.13863 (2024) - 2023
- [j9]Jing Ke, Yiqing Shen
, Yizhou Lu, Yi Guo, Dinggang Shen:
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235: 107520 (2023) - [j8]Jing Ke, Yizhou Lu, Yiqing Shen
, Junchao Zhu
, Yijin Zhou
, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo
, Zhonghua Wei
, Sheng Liu, Qin Huang
, Fusong Jiang
, Dinggang Shen:
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85: 102758 (2023) - [j7]Yiqing Shen
, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen
, Jing Ke
:
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42(7): 1969-1981 (2023) - [j6]Jing Ke
, Kai Liu
, Yuxiang Sun
, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen
, Dinggang Shen
:
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging 42(12): 3487-3500 (2023) - [j5]Yonghao Li
, Yiqing Shen
, Jiadong Zhang
, Shujie Song, Zhenhui Li
, Jing Ke
, Dinggang Shen
:
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42(12): 3907-3918 (2023) - [c36]Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke:
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. BIBM 2023: 2255-2258 - [c35]Jue Wang, Fumihiko Ino, Jing Ke:
PRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU. IPDPS 2023: 713-723 - [c34]Qingyang Wu
, Yiqing Shen
, Jing Ke
:
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 193-202 - [c33]Zhenqi He
, Mathias Unberath, Jing Ke, Yiqing Shen
:
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. MICCAI (4) 2023: 206-215 - [c32]Eduard Lloret Carbonell, Yiqing Shen
, Xin Yang, Jing Ke
:
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. MICCAI (5) 2023: 379-388 - [c31]Yiqing Shen
, Jing Ke
:
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. MICCAI (6) 2023: 549-559 - [c30]Junchao Zhu
, Yiqing Shen
, Haolin Zhang, Jing Ke
:
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. MICCAI (6) 2023: 580-590 - [i3]Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen:
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation. CoRR abs/2307.08051 (2023) - 2022
- [j4]Yiqing Shen
, Jing Ke
:
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2431-2441 (2022) - [j3]Yiqing Shen
, Dinggang Shen
, Jing Ke
:
Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging 41(12): 3835-3848 (2022) - [c29]Yiqing Shen
, Yulin Luo, Dinggang Shen, Jing Ke
:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) 2022: 212-221 - [i2]Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR abs/2206.12694 (2022) - 2021
- [c28]Yiqing Shen
, Yizhou Lu, Yulin Luo, Jing Ke:
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. BIBM 2021: 1509-1512 - [c27]Yiqing Shen
, Jing Ke:
Su-Sampling Based Active Learning For Large-Scale Histopathology Image. ICIP 2021: 116-120 - [c26]Jing Ke, Yiqing Shen
, Yizhou Lu:
Style Normalization In Histology With Federated Learning. ISBI 2021: 953-956 - [c25]Yiqing Shen
, Jing Ke:
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. ISBI 2021: 1730-1733 - [c24]Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang:
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom 2021: 73-80 - [c23]Jinghan Huang, Yiqing Shen
, Dinggang Shen, Jing Ke
:
CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI (8) 2021: 445-454 - [c22]Jing Ke
, Yiqing Shen
, Xiaoyao Liang
, Dinggang Shen:
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) 2021: 571-580 - [c21]Jing Ke, Yiqing Shen
, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang:
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology 2021 - 2020
- [c20]Junwei Deng, Yizhou Lu, Jing Ke:
An Accurate Neural Network for Cytologic Whole-Slide Image Analysis. ACSW 2020: 22:1-22:7 - [c19]Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang:
FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW 2020: 34:1-34:6 - [c18]Jing Ke
, Yiqing Shen
, Yi Guo
, Jason D. Wright
, Naifeng Jing
, Xiaoyao Liang
:
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME 2020: 260-269 - [c17]Jing Ke, Yiqing Shen
, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen:
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM 2020: 1043-1046 - [c16]Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing:
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC 2020: 1-6 - [c15]Jing Ke, Yiqing Shen
, Yi Guo, Jason D. Wright, Xiaoyao Liang:
A Prediction Model of Microsatellite Status from Histology Images. ICBET 2020: 334-338 - [c14]Jing Ke, Yiqing Shen
, Yi Guo, Xiaoyao Liang:
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP 2020: 2471-2475 - [c13]Yiqing Shen
, Jing Ke
:
A Deformable CRF Model for Histopathology Whole-Slide Image Classification. MICCAI (5) 2020: 500-508 - [c12]Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang:
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO 2020: 698-710 - [c11]Xiaofei Chen, Xue Wang, Xiaochun Lu, Jing Ke, Xia Guo:
Navigation Signal Design and Ranging Performance Evaluation of Cn Band Based on Satellite-to-Ground Link. MLIS 2020: 424-434
2010 – 2019
- 2019
- [j2]Mei Zhou, Sheng Tang
, Wenli Wang, Jing Ke, Zhouhu Deng:
A Frequency Multiplication Method Based on Extracting Harmonic From Narrow Pulse. IEEE Access 7: 95341-95350 (2019) - [c10]Houxiang Ji
, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang:
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC 2019: 249-254 - [c9]Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing:
A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC 2019: 388-393 - [c8]Jing Ke, Junwei Deng, Yizhou Lu, Dadong Wang
, Yang Song, Huijuan Zhang:
Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology. DICTA 2019: 1-8 - [c7]Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang:
Selective Detection and Segmentation of Cervical Cells. ICBBT 2019: 55-61 - [c6]Jing Ke, Junwei Deng, Yizhou Lu:
Noise reduction with image inpainting: an application in clinical data diagnosis. SIGGRAPH Posters 2019: 88:1-88:2 - 2018
- [b1]Jing Ke:
Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. University of New South Wales, Sydney, Australia, 2018 - [j1]Sheng Tang, Jing Ke, Zunzun Li, Pengfei Dong:
Design and Implementation of Time Synchronization Experimental System for Wireless Sensor Networks. Int. J. Online Eng. 14(6): 212-222 (2018) - [i1]Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang:
Approximate Random Dropout. CoRR abs/1805.08939 (2018) - 2017
- [c5]Jing Ke, Yi Guo, Arcot Sowmya:
A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. CVPR Workshops 2017: 260-266 - [c4]Jing Ke, Yi Guo, Arcot Sowmya, Tomasz Bednarz:
A performance acceleration algorithm of spectral unmixing via subset selection. ESANN 2017 - 2016
- [c3]Jing Ke, Arcot Sowmya, Yi Guo, Tomasz Bednarz
, Michael Buckley:
Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing. DICTA 2016: 1-8 - [c2]Jing Ke, Tomasz Bednarz
, Arcot Sowmya:
Optimized GPU implementation for dynamic programming in image data processing. IPCCC 2016: 1-7
2000 – 2009
- 2007
- [c1]Jing Ke, Chengjin Zhang, Yizheng Qiao:
Modified Evolution Strategy Based Identification of Multi-input Single-Output Wiener-Hammerstein Model. ICNC (4) 2007: 251-255
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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