Maode Lai
According to our database1,
Maode Lai
authored at least 22 papers
between 2012 and 2024.
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Bibliography
2024
MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images.
Medical Biol. Eng. Comput., June, 2024
Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images.
IEEE Trans. Medical Imaging, January, 2024
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models.
CoRR, 2024
Renal digital pathology visual knowledge search platform based on language large model and book knowledge.
CoRR, 2024
RCdpia: A Renal Carcinoma Digital Pathology Image Annotation dataset based on pathologists.
CoRR, 2024
SDPT: Synchronous Dual Prompt Tuning for Fusion-Based Visual-Language Pre-trained Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Marrying Global-Local Spatial Context for Image Patches in Computer-Aided Assessment.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
IEEE Trans. Medical Imaging, October, 2023
Medical Image Anal., May, 2023
Local-to-global spatial learning for whole-slide image representation and classification.
Comput. Medical Imaging Graph., 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2019
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2019
2017
IEEE Trans. Biomed. Eng., 2017
Parallel multiple instance learning for extremely large histopathology image analysis.
BMC Bioinform., 2017
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
BMC Bioinform., 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Medical Image Anal., 2014
Deep learning of feature representation with multiple instance learning for medical image analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014
2012
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012