柯晶 助理研究员

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Email: kejing@cs.sjtu.edu.cn

Lab: 先进计算机体系结构实验室

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Computer-aided medical imaging processing 

High-performance/GPU computing in large-scale images
2014.22018.3:Ph.D. of Computer Science and Engineering, The University of New South Wales 

2018.4 ~ now Research Assistant Professor in Shanghai Jiao Tong University.

2021.7 ~ now Adjunct Lecturer of University of New South Wales
GPU computing and deep learning

1) J Ke, Y Lu, Y Shen, J Zhu, Y Zhou, J Huang, J Yao, X Liang, Y Guo, Z Wei, S Liu, Q Huang, F Jiang & D Shen. A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Analysis (MedIA), 2023, 85(102758): 1-14 (SCI中科院1, 影响因子 IF 13.8, CCF-C).

2) Y Shen, A Sowmya, Y Luo, X Liang, D Shen & J Ke. A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN, IEEE Transactions on Medical Imaging (TMI), 2022 Early Access (SCI中科院1, 影响因子 IF 11.0, CCF-B).

3) Y Shen, D Shen & J Ke. Identify Representative Samples by Conditional Random Field of Cancer Histology Images, IEEE Transactions on Medical Imaging (TMI), Volume: 41, Issue: 12, December 2022 (SCI中科院1区, 影响因子 IF 11.0, CCF-B).

4) J Ke, Y Shen, Y Lu, Y Guo & D Shen. Mine Local Homogeneous Representation by Interaction Information Clustering with Unsupervised Learning in Histopathology Images. Computer Methods and Programs in Biomedicine. 2023. (SCI中科院2, 影响因子 IF 7.0).

5) J Wang, F Ino & J Ke. PRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU. 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2023 (CCF-B).

6) Y Shen & J Ke. KnowledgeIE: Unifying Online-Offline Distillation based on Knowledge Inheritance and Evolution. IEEE International Conference on Multimedia & Expo (ICME) 2023 (CCF B)

7) Y Shen & J Ke. Sampling Based Tumor Recognition in Whole-slide Histology Image with Deep Learning Approaches. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume: 19, Issue: 4, 2022, pp: 2431 – 2441 (SCI, 影响因子 IF 3.7, CCF-B).

8) Y Shen, Y Luo, D Shen & J Ke. RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022 (CCF-B).

9) J Ke, Y Shen, X Liang, D Shen. Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology. MICCAI 2021 (CCF-B).

10) J Huang, Y Shen, D Shen & J Ke. CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI 2021 (CCF-B).

11) J Ke, Y Shen, Y Lu, J Deng, J. D. Wright, Y Zhang, Q Huang, D Wang, N Jing, X Liang & F Jiang. Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning, Laboratory Investigation 101, pp: 513–524, 2021 (SCI中科院2区, 影响因子 IF 5.5).

12) Y Shen, Y Lu, Y Luo & J Ke. Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. International Conference on Bioinformatics and Biomedicine (BIBM) 2021 (CCF-B)

13) Z Song, F Wu, X Liu, J Ke, N Jing & X Liang. VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration, the 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO) 2020 (CCF-A)

14) X Song, J Wang, T Li, L Jiang, J Ke, X Liang & N Jing. GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. the 57th ACM/IEEE Design Automation Conference (DAC) 2020 (CCF-A)

15) Y Shen & J Ke. A Deformable CRF Model for Histopathology Whole-slide Image Classification. MICCAI 2020 (CCF-B).

16) J Ke, Y Shen, Jason D. Wright, N Jing, X Liang & D Shen. Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM 2020 (CCF-B)

国家自然科学基金青年:弱标注肿瘤病理图像分析及异构系统高通量计算关键技术研究 2022.1~2024.12

上海市自然科学基金面上项目:基于临床癌症辅助诊断的病理图像空间关联性特征融合研究 2023.42026.3

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