David Joon Ho
Orcid: 0000-0002-9124-884X
According to our database1,
David Joon Ho
authored at least 15 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Medical Image Anal., October, 2023
2022
CoRR, 2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.
CoRR, 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
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
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2018, Burlingame, CA, USA, January 28, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
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