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ORCIDYinyin Yuan
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2020 – today
- 2024
[c20]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
:
Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging. MICCAI (4) 2024: 222-231- 2022
- [j8]Zhihao Ge, Shuaichao Pei, Yinyin Yuan:
A two-level multiphysics finite element method for a nonlinear poroelasticity model. Comput. Math. Appl. 124: 63-73 (2022) - [c19]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:
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. ISBI 2022: 1-5 - [c18]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:
Self-supervised Antigen Detection Artificial Intelligence (SANDI). REMIA@MICCAI 2022: 12-21 - [c17]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:
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns. CMMCA@MICCAI 2022: 78-90 - [c16]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:
DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface. MICCAI (4) 2022: 140-149 - [c15]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:
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence. AIIIMA/MIABID@MICCAI 2022: 164-175 - [c14]Manning Li, Yinyin Yuan, Jinyu Zhou, Haobo Zhang:
Exploring the value of qualitative and quantitative feedback in a mobile health edutainment system. PACIS 2022: 127 - 2021
- [j7]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:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c13]Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan:
Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images. COMPAY@MICCAI 2021: 94-104 - [c12]Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Jonathan A. Ledermann, Teresa Marafioti, Yinyin Yuan:
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images. COMPAY@MICCAI 2021: 246-257 - [c11]Justin Law, Thomas G. Paulson, Carissa A. Sanchez, Patricia C. Galipeau, Marnix Jansen, Matthew D. Stachler, Carlo C. Maley, Yinyin Yuan:
Wisdom Of The Crowd For Early Detection In Barrett's Esophagus. ISBI 2021: 531-535 - [c10]Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan:
Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data. ISBI 2021: 1438-1442 - [e1]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - [i6]Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan:
Cell abundance aware deep learning for cell detection on highly imbalanced pathological data. CoRR abs/2102.11677 (2021) - 2020
- [c9]Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. BrainLes@MICCAI (2) 2020: 508-518 - [i5]Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. CoRR abs/2011.05410 (2020)
2010 – 2019
- 2019
- [c8]Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan:
Deconvolving Convolutional Neural Network for Cell Detection. ISBI 2019: 891-894 - [c7]Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan:
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. MICCAI (1) 2019: 667-675 - [i4]Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan:
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. CoRR abs/1908.00907 (2019) - 2018
- [c6]Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan:
Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology. COMPAY/OMIA@MICCAI 2018: 52-60 - [i3]Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan:
Deconvolving convolution neural network for cell detection. CoRR abs/1806.06970 (2018) - [i2]Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan:
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images. CoRR abs/1806.10850 (2018) - [i1]Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan:
Capturing global spatial context for accurate cell classification in skin cancer histology. CoRR abs/1808.02355 (2018) - 2012
- [j6]Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz:
A Sparse Regulatory Network of Copy-Number Driven Gene Expression Reveals Putative Breast Cancer Oncogenes. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 947-954 (2012) - 2011
- [j5]Yinyin Yuan, Oscar M. Rueda, Christina Curtis, Florian Markowetz:
Penalized regression elucidates aberration hotspots mediating subtype-specific transcriptional responses in breast cancer. Bioinform. 27(19): 2679-2685 (2011) - [j4]Yinyin Yuan, Richard S. Savage, Florian Markowetz:
Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes. PLoS Comput. Biol. 7(10) (2011) - 2010
- [c5]Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz:
A sparse regulatory network of copy-number driven expression reveals putative breast cancer oncogenes. BIBM 2010: 473-478
2000 – 2009
- 2009
- [b1]Yinyin Yuan:
Statistical inference from large-scale genomic data. University of Warwick, Coventry, UK, 2009 - [c4]Yinyin Yuan, Chang-Tsun Li:
Inferring Causal Relations from Multivariate Time Series: A Fast Method for Large-Scale Gene Expression Data. BIBE 2009: 92-99 - 2008
- [j3]Chang-Tsun Li, Yinyin Yuan, Roland Wilson:
An unsupervised conditional random fields approach for clustering gene expression time series. Bioinform. 24(21): 2467-2473 (2008) - [j2]Yinyin Yuan, Chang-Tsun Li, Roland Wilson:
Partial mixture model for tight clustering of gene expression time-course. BMC Bioinform. 9 (2008) - [j1]Yinyin Yuan, Chang-Tsun Li:
A Bayes Random Field Approach for Integrative Large-Scale Regulatory Network Analysis. J. Integr. Bioinform. 5(2) (2008) - [c3]Yinyin Yuan, Chang-Tsun Li:
Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory. ICASSP 2008: 625-628 - 2007
- [c2]Yinyin Yuan, Chang-Tsun Li:
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis. BIBE 2007: 1061-1065 - 2004
- [c1]Yinyin Yuan, Chang-Tsun Li:
Fragile Watermarking Scheme Exploiting Non-Deterministic Block-Wise Dependency. ICPR (4) 2004: 849-852
Coauthor Index
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