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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) - [c37]Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen:
Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. ICME 2024: 1-6 - [i6]Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen:
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR abs/2403.13863 (2024) - [i5]Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. CoRR abs/2409.00133 (2024) - [i4]Yuanjie Lyu, Tong Xu, Zihan Niu, Bo Peng, Jing Ke, Enhong Chen:
Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. CoRR abs/2409.09362 (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 2024-10-14 23:32 CEST by the dblp team
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