Yinyin Yuan

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Yinyin Yuan

Professor

 https://orcid.org/0000-0002-8556-4707
    Calculated based on number of publications stored in Pure and citations from Scopus
    20042024

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    • 2022

      Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks

      Sobhani, F., Hamidinekoo, A., Hall, A. H., King, L., Marks, J. R., Maley, C., Horlings, H. M., Shelley Hwang, E. & Yuan, Y., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

      Pan, X., Zhang, H., Grapa, A. I., AbdulJabbar, K., Raza, S. E. A., Cheung, H. K. A., Karasaki, T., Quesne, J. L., Moore, D. A., Swanton, C. & Yuan, Y., 2022, Computational Mathematics Modeling in Cancer Analysis - 1st International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Proceedings. Qin, W., Zaki, N., Zhang, F., Wu, J. & Yang, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 78-90 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13574 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

      Hagos, Y. B., Sobhani, F., Castillo, S. P., Hall, A. H., AbdulJabbar, K., Salgado, R., Harmon, B., Gallagher, K., Kilgore, M., King, L. M., Marks, J. R., Maley, C., Horlings, H. M., West, R., Hwang, E. S. & Yuan, Y., 2022, Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - 1st MICCAI Workshop, AIIIMA 2022, and 1st MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Proceedings. Kakileti, S. T., Manjunath, G., Gabrani, M., Rosen-Zvi, M., Braman, N., Schwartz, R. G., Frangi, A. F., Chung, P-C., Weight, C. & Jagadish, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 164-175 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13602 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface

      Hagos, Y. B., Akarca, A. U., Ramsay, A., Rossi, R. L., Pomplun, S., Moioli, A., Gianatti, A., Mcnamara, C., Rambaldi, A., Quezada, S. A., Linch, D., Gritti, G., Marafioti, T. & Yuan, Y., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 140-149 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13434 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Self-supervised Antigen Detection Artificial Intelligence (SANDI)

      Zhang, H., AbdulJabbar, K., Grunewald, T., Akarca, A., Hagos, Y., Lecat, C., Pate, D., Lee, L., Rodriguez-Justo, M., Yong, K., Ledermann, J., Le Quesne, J., Marafioti, T. & Yuan, Y., 2022, Resource-Efficient Medical Image Analysis - 1st MICCAI Workshop, REMIA 2022, Proceedings. Xu, X., Li, X., Mahapatra, D., Cheng, L., Petitjean, C. & Fu, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 12-21 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13543 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • 2021

      Cell abundance aware deep learning for cell detection on highly imbalanced pathological data

      Hagos, Y. B., Lecat, C. S. Y., Patel, D., Lee, L., Tran, T. A., Justo, M. R., Yong, K. & Yuan, Y., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 1438-1442 5 p. 9433994. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
      4 Scopus citations

    • Glioma Classification Using Multimodal Radiology and Histology Data

      Hamidinekoo, A., Pieciak, T., Afzali, M., Akanyeti, O. & Yuan, Y., 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 508-518 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      4 Scopus citations

    • Wisdom of the crowd for early detection in barrett's esophagus

      Law, J., Paulson, T. G., Sanchez, C. A., Galipeau, P. C., Jansen, M., Stachler, M. D., Maley, C. C. & Yuan, Y., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 531-535 5 p. 9433763. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      2 Scopus citations
    • 2019

      ConCORDe-net: Cell count regularized convolutional neural network for cell detection in multiplex immunohistochemistry images

      Hagos, Y. B., Narayanan, P. L., Akarca, A. U., Marafioti, T. & Yuan, Y., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 667-675 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
      18 Scopus citations

    • Deconvolving convolutional neural network for cell detection

      Raza, S. E. A., Abduljabbar, K., Jamal-Hanjani, M., Veeriah, S., Quesne, J. L., Swanton, C. & Yuan, Y., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 891-894 4 p. 8759333. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
      19 Scopus citations
    • 2018

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

      Zormpas-Petridis, K., Failmezger, H., Roxanis, I., Blackledge, M., Jamin, Y. & Yuan, Y., 2018, Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Taylor, Z., Bogunovic, H., Snead, D., Garvin, M. K., Chen, X. J., Ciompi, F., Xu, Y., Maier-Hein, L., Veta, M., Trucco, E., Stoyanov, D., Rajpoot, N., van der Laak, J., Martel, A. & McKenna, S. (eds.). Springer Verlag, p. 52-60 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11039 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      4 Scopus citations
    • 2010

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

      Yuan, Y., Curtis, C., Caldas, C. & Markowetz, F., 2010, Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010. p. 473-478 6 p. 5706612. (Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
      4 Scopus citations
    • 2009

      Inferring causal relations from multivariate time series: A fast method for large-scale gene expression data

      Yuan, Y. & Li, C. T., 2009, Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. p. 92-99 8 p. 5211311. (Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
    • 2008

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

      Yuan, Y. & Li, C. T., 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. p. 625-628 4 p. 4517687. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      1 Scopus citations
    • 2007

      Partial mixture model for tight clustering in exploratory gene expression analysis

      Yuan, Y. & Li, C. T., 2007, Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE. p. 1061-1065 5 p. 4375689. (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      2 Scopus citations

    • Unsupervised clustering of gene expression time series with conditional random fields

      Yuan, Y. & Li, C. T., 2007, Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007. p. 571-576 6 p. 4233774. (Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      7 Scopus citations
    • 2004

      Fragile watermarking scheme exploiting non-deterministic block-wise dependency

      Yuan, Y. & Li, C. T., 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). p. 849-852 4 p. (Proceedings - International Conference on Pattern Recognition; vol. 4).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      6 Scopus citations