David Joon Ho

According to our database1, David Joon Ho authored at least 11 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.
CoRR, 2022

Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation.
CoRR, 2022

2021
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation.
Comput. Medical Imaging Graph., 2021

2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks.
CoRR, 2018

Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Boundary segmentation for fluorescence microscopy using steerable filters.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Nuclei segmentation of fluorescence microscopy images using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017


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