Yiqing Shen
Orcid: 0000-0001-7866-3339Affiliations:
- Johns Hopkins University, MD, USA
- Beijing Infervision Technology Co., Ltd., Beijing, China (former)
- Shanghai Jiao Tong University, Shanghai, China (former)
According to our database1,
Yiqing Shen
authored at least 49 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T.
Int. J. Imaging Syst. Technol., March, 2024
CoRR, 2024
CoRR, 2024
SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration.
CoRR, 2024
2023
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification.
IEEE Trans. Medical Imaging, December, 2023
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation.
IEEE Trans. Medical Imaging, December, 2023
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images.
Comput. Methods Programs Biomed., June, 2023
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets.
Medical Image Anal., April, 2023
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN.
IEEE Trans. Medical Imaging, 2023
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey.
CoRR, 2023
CoRR, 2023
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Identify Representative Samples by Conditional Random Field of Cancer Histology Images.
IEEE Trans. Medical Imaging, 2022
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
CD<sup>2</sup>-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image.
CoRR, 2021
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CA<sup>2.5</sup>-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 10th International Conference on Biomedical Engineering and Technology, 2020
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image.
Proceedings of the Artificial Intelligence in Medicine, 2020