Yinyin Yuan

According to our database, Yinyin Yuan authored at least 31 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging.

Tanishq Gautam, Karina P. Gonzalez, Maria E. Salvatierra, Alejandra Serrano, Pingjun Chen, Xiaoxi Pan, Yasin Shokrollahi, Sara Ranjbar, Leticia Rodriguez, Luisa Solis-Soto, Yinyin Yuan, Simon P. Castillo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

A two-level multiphysics finite element method for a nonlinear poroelasticity model.

Zhihao Ge, Shuaichao Pei, Yinyin Yuan

Comput. Math. Appl., 2022

Exploring the value of qualitative and quantitative feedback in a mobile health edutainment system.

Manning Li, Yinyin Yuan, Jinyu Zhou, Haobo Zhang

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Self-supervised Antigen Detection Artificial Intelligence (SANDI).

Hanyun Zhang, Khalid AbdulJabbar, Tami Grunewald, Ayse U. Akarca, Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Manuel Rodriguez-Justo, Kwee Yong, Jonathan A. Ledermann, John Le Quesne, Teresa Marafioti, Yinyin Yuan

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns.

Xiaoxi Pan, Hanyun Zhang, Anca-Ioana Grapa, Khalid AbdulJabbar, Shan-E-Ahmed Raza, Ho Kwan Alvin Cheung, Takahiro Karasaki, John Le Quesne, David A. Moore, Charles Swanton, Yinyin Yuan

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.

Yeman Brhane Hagos, Faranak Sobhani, Simon P. Castillo, Allison H. Hall, Khalid AbdulJabbar, Roberto Salgado, Bryan Harmon, Kristalyn Gallagher, Mark Kilgore, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Robert B. West, Eun-Sil Shelley Hwang, Yinyin Yuan

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.

Yeman Brhane Hagos, Ayse U. Akarca, Alan Ramsay, Riccardo L. Rossi, Sabine Pomplun, Alessia Moioli, Andrea Gianatti, Christopher Mcnamara, Alessandro Rambaldi, Sergio A. Quezada, David Linch, Giuseppe Gritti, Teresa Marafioti, Yinyin Yuan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.

Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

Wisdom Of The Crowd For Early Detection In Barrett's Esophagus.

Justin Law, Thomas G. Paulson, Carissa A. Sanchez, Patricia C. Galipeau, Marnix Jansen, Matthew D. Stachler, Carlo C. Maley, Yinyin Yuan

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data.

Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan

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.

Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Jonathan A. Ledermann, Teresa Marafioti, Yinyin Yuan

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images.

Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Glioma Classification Using Multimodal Radiology and Histology Data.

Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan

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.

Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deconvolving Convolutional Neural Network for Cell Detection.

Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan

CoRR, 2018

Deconvolving convolution neural network for cell detection.

Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan

CoRR, 2018

Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology.

Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan

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.

Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011

Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes.

Yinyin Yuan, Richard S. Savage, Florian Markowetz

PLoS Comput. Biol., 2011

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

Yinyin Yuan, Oscar M. Rueda, Christina Curtis, Florian Markowetz

Bioinform., 2011

2010

A sparse regulatory network of copy-number driven expression reveals putative breast cancer oncogenes.

Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Statistical inference from large-scale genomic data.

Yinyin Yuan

PhD thesis, 2009

Inferring Causal Relations from Multivariate Time Series: A Fast Method for Large-Scale Gene Expression Data.

Yinyin Yuan, Chang-Tsun Li

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.

Yinyin Yuan, Chang-Tsun Li

J. Integr. Bioinform., 2008

Partial mixture model for tight clustering of gene expression time-course.

Yinyin Yuan, Chang-Tsun Li, Roland Wilson

BMC Bioinform., 2008

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

Chang-Tsun Li, Yinyin Yuan, Roland Wilson

Bioinform., 2008

Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory.

Yinyin Yuan, Chang-Tsun Li

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis.

Yinyin Yuan, Chang-Tsun Li

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2004

Fragile Watermarking Scheme Exploiting Non-Deterministic Block-Wise Dependency.

Yinyin Yuan, Chang-Tsun Li

Proceedings of the 17th International Conference on Pattern Recognition, 2004