Ming Y. Lu

Orcid: 0000-0003-0009-9699

According to our database1, Ming Y. Lu authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Artificial Intelligence for Digital and Computational Pathology.
CoRR, 2024

2023
A Foundational Multimodal Vision Language AI Assistant for Human Pathology.
CoRR, 2023

A General-Purpose Self-Supervised Model for Computational Pathology.
CoRR, 2023

Towards a Visual-Language Foundation Model for Computational Pathology.
CoRR, 2023

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis.
IEEE Trans. Medical Imaging, 2022

Federated learning for computational pathology on gigapixel whole slide images.
Medical Image Anal., 2022

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.
Medical Image Anal., 2022

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Medical Image Anal., 2022

2021
AI-based pathology predicts origins for cancers of unknown primary.
Nat., 2021

Algorithm Fairness in AI for Medicine and Healthcare.
CoRR, 2021

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.
CoRR, 2021

Fast and Scalable Image Search For Histology.
CoRR, 2021

Deep Learning-based Frozen Section to FFPE Translation.
CoRR, 2021

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary.
CoRR, 2020

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images.
CoRR, 2020

Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding.
CoRR, 2019


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