Maode Lai

According to our database1, Maode Lai authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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

Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation.
IEEE Trans. Medical Imaging, October, 2023

Weakly supervised histopathology image segmentation with self-attention.
Medical Image Anal., May, 2023

Local-to-global spatial learning for whole-slide image representation and classification.
Comput. Medical Imaging Graph., 2023

Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models.
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
Gland Instance Segmentation Using Deep Multichannel Neural Networks.
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
Gland Instance Segmentation by Deep Multichannel Neural Networks.
CoRR, 2016

Gland Instance Segmentation by Deep Multichannel Side Supervision.
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
Weakly supervised histopathology cancer image segmentation and classification.
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


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