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  1. Article

    Open Access

    Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

    Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other so...

    Mohamed Amgad, Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard… in npj Breast Cancer (2020)

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  2. No Access

    Chapter and Conference Paper

    Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning

    Application response time is a critical performance metric to assess the quality of software products. It is also an objective metric for user experience evaluation. In this paper, we present a novel method n...

    Lan Vu, Uday Kurkure, Hari Sivaraman, Aravind Bappanadu in Advances in Visual Computing (2018)

  3. No Access

    Chapter and Conference Paper

    Machine Learning Using Virtualized GPUs in Cloud Environments

    Using graphic processing units (GPU) to accelerate machine learning applications has become a focus of high performance computing (HPC) in recent years. In cloud environments, many different cloud-based GPU s...

    Uday Kurkure, Hari Sivaraman, Lan Vu in High Performance Computing (2017)

  4. Chapter and Conference Paper

    Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene Expression Images

    Automated segmentation of multi-part anatomical objects in images is a challenging task. In this paper, we propose a similarity-based appearance-prior to fit a compartmental geometric atlas of the mouse brain ...

    Yen H. Le, Uday Kurkure, Nikos Paragios… in Medical Image Computing and Computer-Assis… (2012)

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  5. No Access

    Article

    Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data

    Measurements related to coronary artery calcification (CAC) offer significant predictive value for coronary artery disease (CAD). In current medical practice CAC scoring is a labor-intensive task. The objectiv...

    Gerd Brunner, Deepak R. Chittajallu… in The International Journal of Cardiovascula… (2010)

  6. No Access

    Article

    A supervised classification-based method for coronary calcium detection in non-contrast CT

    Accurate quantification of coronary artery calcium provides an opportunity to assess the extent of atherosclerosis disease. Coronary calcification burden has been reported to be associated with cardiovascular ...

    Uday Kurkure, Deepak R. Chittajallu… in The International Journal of Cardiovascula… (2010)

  7. Chapter and Conference Paper

    Toward Unsupervised Classification of Calcified Arterial Lesions

    There is growing evidence that calcified arterial deposits play a crucial role in the pathogenesis of cardiovascular disease. This paper investigates the challenging problem of unsupervised calcified lesion cl...

    Gerd Brunner, Uday Kurkure… in Medical Image Computing and Computer-Assis… (2008)

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  8. Chapter and Conference Paper

    Left Ventricular Segmentation in MR Using Hierarchical Multi-class Multi-feature Fuzzy Connectedness

    In this paper, we present a new method for data-driven automatic extraction of endocardial and epicardial contours of the left ventricle in cine bFFE MR images. Our method employs a hierarchical, multi-class, ...

    Amol Pednekar, Uday Kurkure… in Medical Image Computing and Computer-Assis… (2004)

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