Lei Cui
Affiliations:- Northwest University, Xi'an, China
According to our database1,
Lei Cui
authored at least 27 papers
between 2017 and 2023.
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Bibliography
2023
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network.
BMC Medical Informatics Decis. Mak., 2022
Feature fusion and Ensemble learning-based CNN model for mammographic image classification.
J. King Saud Univ. Comput. Inf. Sci., 2022
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.
CoRR, 2022
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation.
BMC Bioinform., 2020
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019
Nat. Mach. Intell., 2019
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019
BMC Bioinform., 2019
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Breast mass classification via deeply integrating the contextual information from multi-view data.
Pattern Recognit., 2018
Pairwise based deep ranking hashing for histopathology image classification and retrieval.
Pattern Recognit., 2018
Automatic Mass Detection from Mammograms with Region-Based Convolutional Neural Network.
Proceedings of the Image and Graphics Technologies and Applications, 2018
Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017