Yinyin Yuan

42 papers C 2Misc 1Journal 16Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction.
CoRR
Lihe Liu, Xiaoxi Pan, Yinyin Yuan, Lulu Shang
2025 J jnl
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics.
CoRR
Paul H. Acosta, Pingjun Chen, Simon P. Castillo, Maria Esther Salvatierra, Yinyin Yuan, Xiaoxi Pan
2025 — conf
Optimizing Cell Recognition in Sarcoma Multiplex Immunohistochemistry Images via Pre-Training Strategies.
ISBI
Pingjun Chen, Maria E. Salvatierra, Alejandra Serrano, Karina Pinao Gonzalez, Sara Ranjbar, Yasin Shokrollahi, Tanishq Gautam, Leticia Rodriguez, Patient Mosaic Team, Xiaoxi Pan, Luisa M. Solis Soto, Yinyin Yuan
2024 — conf
Adaptive Self-Supervised Learning of Morphological Landscape for Leukocytes Classification in Peripheral Blood Smears.
BHI
Zhuohe Liu, Simon P. Castillo, Xin Han, Xiaoping Sun, Zhihong Hu, Yinyin Yuan
2024 — conf
Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling.
MIDL
Yasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam, Pingjun Chen, Leticia Rodriguez, Sara Ranjbar, Patient Mosaic Team, Luisa Solis-Soto, Yinyin Yuan, Xiaoxi Pan
2024 — conf
Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging.
MICCAI (4)
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
2024 — conf
Predicting DNA Content Abnormalities in Barrett's Esophagus: A Weakly Supervised Learning Paradigm.
MIDL
Caner Ercan, Xiaoxi Pan, Thomas G. Paulson, Matthew D. Stachler, Carlo C. Maley, William M. Grady, Yinyin Yuan
2022 J jnl
A two-level multiphysics finite element method for a nonlinear poroelasticity model.
Comput. Math. Appl.
Zhihao Ge, Shuaichao Pei, Yinyin Yuan
2022 — conf
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.
ISBI
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
2022 — conf
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns.
CMMCA@MICCAI
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
2022 — conf
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.
AIIIMA/MIABID@MICCAI
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
2022 — conf
DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface.
MICCAI (4)
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
2022 — conf
Exploring the value of qualitative and quantitative feedback in a mobile health edutainment system.
PACIS
Manning Li, Yinyin Yuan, Jinyu Zhou, Haobo Zhang
2022 — conf
Self-supervised Antigen Detection Artificial Intelligence (SANDI).
REMIA@MICCAI
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
2021 — conf
Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images.
COMPAY@MICCAI
Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan
2021 — conf
Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data.
ISBI
Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan
2021 J jnl
Cell abundance aware deep learning for cell detection on highly imbalanced pathological data.
CoRR
Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan
2021 — ed.
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event
COMPAY@MICCAI
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
2021 J jnl
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging
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
2021 — conf
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images.
COMPAY@MICCAI
Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Jonathan A. Ledermann, Teresa Marafioti, Yinyin Yuan
2021 — conf
Wisdom Of The Crowd For Early Detection In Barrett's Esophagus.
ISBI
Justin Law, Thomas G. Paulson, Carissa A. Sanchez, Patricia C. Galipeau, Marnix Jansen, Matthew D. Stachler, Carlo C. Maley, Yinyin Yuan
2020 — conf
Glioma Classification Using Multimodal Radiology and Histology Data.
BrainLes@MICCAI (2)
Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
2020 J jnl
Glioma Classification Using Multimodal Radiology and Histology Data.
CoRR
Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
2019 — conf
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images.
MICCAI (1)
Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan
2019 J jnl
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images.
CoRR
Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan
2019 — conf
Deconvolving Convolutional Neural Network for Cell Detection.
ISBI
Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan
2018 — conf
Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology.
COMPAY/OMIA@MICCAI
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan
2018 J jnl
Capturing global spatial context for accurate cell classification in skin cancer histology.
CoRR
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan
2018 J jnl
Deconvolving convolution neural network for cell detection.
CoRR
Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan
2018 J jnl
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images.
CoRR
Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan
2012 J jnl
A Sparse Regulatory Network of Copy-Number Driven Gene Expression Reveals Putative Breast Cancer Oncogenes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz
2011 J jnl
Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes.
PLoS Comput. Biol.
Yinyin Yuan, Richard S. Savage, Florian Markowetz
2011 J jnl
Penalized regression elucidates aberration hotspots mediating subtype-specific transcriptional responses in breast cancer.
Bioinform.
Yinyin Yuan, Oscar M. Rueda, Christina Curtis, Florian Markowetz
2010 — conf
A sparse regulatory network of copy-number driven expression reveals putative breast cancer oncogenes.
BIBM
Yinyin Yuan, Christina Curtis, Carlos Caldas, Florian Markowetz
2009 C conf
Inferring Causal Relations from Multivariate Time Series: A Fast Method for Large-Scale Gene Expression Data.
BIBE
Yinyin Yuan, Chang-Tsun Li
2009 — —
Statistical inference from large-scale genomic data.
Yinyin Yuan
2008 J jnl
A Bayes Random Field Approach for Integrative Large-Scale Regulatory Network Analysis.
J. Integr. Bioinform.
Yinyin Yuan, Chang-Tsun Li
2008 J jnl
An unsupervised conditional random fields approach for clustering gene expression time series.
Bioinform.
Chang-Tsun Li, Yinyin Yuan, Roland Wilson
2008 J jnl
Partial mixture model for tight clustering of gene expression time-course.
BMC Bioinform.
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
2008 Misc conf
Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory.
ICASSP
Yinyin Yuan, Chang-Tsun Li
2007 C conf
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis.
BIBE
Yinyin Yuan, Chang-Tsun Li
2004 — conf
Fragile Watermarking Scheme Exploiting Non-Deterministic Block-Wise Dependency.
ICPR (4)
Yinyin Yuan, Chang-Tsun Li