Search Results - Janowczyk, Andrew

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  1. 1
    Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

    Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases by Janowczyk, Andrew, Madabhushi, Anant

    Published 2016
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  2. 2
    Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

    Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions by Janowczyk, Andrew, Chandran, Sharat, Madabhushi, Anant

    Published 2013
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  3. 3
    Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology

    Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology by Janowczyk, Andrew, Basavanhally, Ajay, Madabhushi, Anant

    Published 2016
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  4. 4
    Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis

    Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis by Chen, Yijiang, Janowczyk, Andrew, Madabhushi, Anant

    Published 2020
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  5. 5
    A High-throughput Active Contour Scheme for Segmentation of Histopathological Imagery

    A High-throughput Active Contour Scheme for Segmentation of Histopathological Imagery by Xu, Jun, Janowczyk, Andrew, Chandran, Sharat, Madabhushi, Anant

    Published 2011
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  6. 6
    A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images

    A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images by Janowczyk, Andrew, Doyle, Scott, Gilmore, Hannah, Madabhushi, Anant

    Published 2016
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  7. 7
    Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19

    Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19 by Koelzer, Viktor Hendrik, Grobholz, Rainer, Zlobec, Inti, Janowczyk, Andrew

    Published 2022
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  8. 8
    HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

    HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides by Janowczyk, Andrew, Zuo, Ren, Gilmore, Hannah, Feldman, Michael, Madabhushi, Anant

    Published 2019
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  9. 9
    Quick Annotator: an open‐source digital pathology based rapid image annotation tool

    Quick Annotator: an open‐source digital pathology based rapid image annotation tool by Miao, Runtian, Toth, Robert, Zhou, Yu, Madabhushi, Anant, Janowczyk, Andrew

    Published 2021
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  10. 10
    Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

    Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images by Romo-Bucheli, David, Janowczyk, Andrew, Gilmore, Hannah, Romero, Eduardo, Madabhushi, Anant

    Published 2016
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  11. 11
    A Deep Learning Based Strategy for Identifying and Associating Mitotic Activity with Gene Expression Derived Risk Categories in Estrogen Receptor Positive Breast Cancers

    A Deep Learning Based Strategy for Identifying and Associating Mitotic Activity with Gene Expression Derived Risk Categories in Estrogen Receptor Positive Breast Cancers by Romo-Bucheli, David, Janowczyk, Andrew, Gilmore, Hannah, Romero, Eduardo, Madabhushi, Anant

    Published 2017
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  12. 12
    An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival

    An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival by Lu, Cheng, Lewis, James S, Dupont, William D, Plummer, W Dale, Janowczyk, Andrew, Madabhushi, Anant

    Published 2017
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  13. 13
    Computational Analysis of Routine Biopsies Improves Diagnosis and Prediction of Cardiac Allograft Vasculopathy

    Computational Analysis of Routine Biopsies Improves Diagnosis and Prediction of Cardiac Allograft Vasculopathy by Peyster, Eliot G., Janowczyk, Andrew, Swamidoss, Abigail, Kethireddy, Samhith, Feldman, Michael D., Margulies, Kenneth B.

    Published 2022
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  14. 14
    Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

    Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images by Wang, Xiangxue, Janowczyk, Andrew, Zhou, Yu, Thawani, Rajat, Fu, Pingfu, Schalper, Kurt, Velcheti, Vamsidhar, Madabhushi, Anant

    Published 2017
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  15. 15
    Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

    Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers by Lu, Cheng, Romo-Bucheli, David, Wang, Xiangxue, Janowczyk, Andrew, Ganesan, Shridar, Gilmore, Hannah, Rimm, David, Madabhushi, Anant

    Published 2018
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  16. 16
    A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

    A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue by Nirschl, Jeffrey J., Janowczyk, Andrew, Peyster, Eliot G., Frank, Renee, Margulies, Kenneth B., Feldman, Michael D., Madabhushi, Anant

    Published 2018
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  17. 17
    Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

    Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer by Whitney, Jon, Corredor, German, Janowczyk, Andrew, Ganesan, Shridar, Doyle, Scott, Tomaszewski, John, Feldman, Michael, Gilmore, Hannah, Madabhushi, Anant

    Published 2018
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  18. 18
    Growth and Persistence of an Aerobic Microbial Community in Wyoming Bentonite MX-80 Despite Anoxic in situ Conditions

    Growth and Persistence of an Aerobic Microbial Community in Wyoming Bentonite MX-80 Despite Anoxic in situ Conditions by Burzan, Niels, Murad Lima, Roberta, Frutschi, Manon, Janowczyk, Andrew, Reddy, Bharti, Rance, Andrew, Diomidis, Nikitas, Bernier-Latmani, Rizlan

    Published 2022
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  19. 19
    Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation

    Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation by Arabyarmohammadi, Sara, Leo, Patrick, Viswanathan, Vidya Sankar, Janowczyk, Andrew, Corredor, German, Fu, Pingfu, Meyerson, Howard, Metheny, Leland, Madabhushi, Anant

    Published 2022
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  20. 20
    Technical Note: MRQy – An Open-Source Tool for Quality Control of MR Imaging Data

    Technical Note: MRQy – An Open-Source Tool for Quality Control of MR Imaging Data by Sadri, Amir Reza, Janowczyk, Andrew, Zhou, Ren, Verma, Ruchika, Beig, Niha, Antunes, Jacob, Madabhushi, Anant, Tiwari, Pallavi, Viswanath, Satish E

    Published 2020
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