Korsuk Sirinukunwattana
Orcid: 0000-0002-3603-4435
According to our database1,
Korsuk Sirinukunwattana
authored at least 27 papers
between 2014 and 2023.
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Bibliography
2023
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022
Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer.
CoRR, 2018
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approach.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Medical Image Anal., 2017
2016
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.
IEEE Trans. Medical Imaging, 2016
BioData Min., 2016
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images.
IEEE J. Biomed. Health Informatics, 2015
Comput. Medical Imaging Graph., 2015
A novel texture descriptor for detection of glandular structures in colon histology images.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014