Yinyin Yuan

Orcid: 0000-0002-8556-4707

According to our database1, Yinyin Yuan authored at least 30 papers between 2004 and 2022.

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Bibliography

2022
A two-level multiphysics finite element method for a nonlinear poroelasticity model.
Comput. Math. Appl., 2022

Exploring the value of qualitative and quantitative feedback in a mobile health edutainment system.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Self-supervised Antigen Detection Artificial Intelligence (SANDI).
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging, 2021

Wisdom Of The Crowd For Early Detection In Barrett's Esophagus.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
Glioma Classification Using Multimodal Radiology and Histology Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deconvolving Convolutional Neural Network for Cell Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images.
CoRR, 2018

Deconvolving convolution neural network for cell detection.
CoRR, 2018

Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2012
A Sparse Regulatory Network of Copy-Number Driven Gene Expression Reveals Putative Breast Cancer Oncogenes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011
Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes.
PLoS Comput. Biol., 2011

Penalized regression elucidates aberration hotspots mediating subtype-specific transcriptional responses in breast cancer.
Bioinform., 2011

2010
A sparse regulatory network of copy-number driven expression reveals putative breast cancer oncogenes.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Statistical inference from large-scale genomic data.
PhD thesis, 2009

Inferring Causal Relations from Multivariate Time Series: A Fast Method for Large-Scale Gene Expression Data.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
A Bayes Random Field Approach for Integrative Large-Scale Regulatory Network Analysis.
J. Integr. Bioinform., 2008

Partial mixture model for tight clustering of gene expression time-course.
BMC Bioinform., 2008

An unsupervised conditional random fields approach for clustering gene expression time series.
Bioinform., 2008

Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2004
Fragile Watermarking Scheme Exploiting Non-Deterministic Block-Wise Dependency.
Proceedings of the 17th International Conference on Pattern Recognition, 2004


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