Ming Y. Lu
Orcid: 0000-0003-0009-9699
According to our database1,
Ming Y. Lu
authored at least 22 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
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
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
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.
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
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
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