Search Results - "Yener, Bulent"

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  1. 1

    Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network by Acharya, Vasundhara, Choi, Diana, Yener, Bulent, Beamer, Gillian

    Published in IEEE access (2024)
    “…Tuberculosis (TB), primarily affecting the lungs, is caused by the bacterium Mycobacterium tuberculosis and poses a significant health risk. Detecting…”
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    CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice by Koyuncu, Deniz, Niazi, Muhammad Khalid Khan, Tavolara, Thomas, Abeijon, Claudia, Ginese, Melanie L, Liao, Yanghui, Mark, Carolyn, Specht, Aubrey, Gower, Adam C, Restrepo, Blanca I, Gatti, Daniel M, Kramnik, Igor, Gurcan, Metin, Yener, Bülent, Beamer, Gillian

    Published in PLoS pathogens (17-08-2021)
    “…More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein…”
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    An Adversarial Perspective on Accuracy, Robustness, Fairness, and Privacy: Multilateral-Tradeoffs in Trustworthy ML by Gittens, Alex, Yener, Bulent, Yung, Moti

    Published in IEEE access (2022)
    “…Model accuracy is the traditional metric employed in machine learning (ML) applications. However, privacy, fairness, and robustness guarantees are crucial as…”
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    Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice by Niazi, Muhammad K K, Dhulekar, Nimit, Schmidt, Diane, Major, Samuel, Cooper, Rachel, Abeijon, Claudia, Gatti, Daniel M, Kramnik, Igor, Yener, Bulent, Gurcan, Metin, Beamer, Gillian

    Published in Disease models & mechanisms (01-09-2015)
    “…Pulmonary tuberculosis (TB) is caused by Mycobacterium tuberculosis in susceptible humans. Here, we infected Diversity Outbred (DO) mice with ∼100 bacilli by…”
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  7. 7

    Image driven machine learning methods for microstructure recognition by Chowdhury, Aritra, Kautz, Elizabeth, Yener, Bülent, Lewis, Daniel

    Published in Computational materials science (01-10-2016)
    “…Computer vision and machine learning methods were applied to the challenge of automatic microstructure recognition. Here, a case study on dendritic…”
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  8. 8

    Focal Onset Seizure Prediction Using Convolutional Networks by Khan, Haidar, Marcuse, Lara, Fields, Madeline, Swann, Kalina, Yener, Bulent

    “…Objective: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn…”
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  9. 9

    An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction by Kautz, Elizabeth, Ma, Wufei, Jana, Saumyadeep, Devaraj, Arun, Joshi, Vineet, Yener, Bülent, Lewis, Daniel

    Published in Materials characterization (01-08-2020)
    “…Microstructure quantification is an essential component of materials science studies, yet, there are no widely applicable, standard methodologies, for image…”
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  10. 10

    Time synchronization in sensor networks: a survey by Sivrikaya, F., Yener, B.

    Published in IEEE network (01-07-2004)
    “…Time synchronization is an important issue in multihop ad hoc wireless networks such as sensor networks. Many applications of sensor networks need local clocks…”
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  11. 11

    Multiway analysis of epilepsy tensors by Acar, Evrim, Aykut-Bingol, Canan, Bingol, Haluk, Bro, Rasmus, Yener, Bülent

    Published in Bioinformatics (01-07-2007)
    “…Motivation: The success or failure of an epilepsy surgery depends greatly on the localization of epileptic focus (origin of a seizure). We address the problem…”
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  12. 12

    Learning the topological properties of brain tumors by Demir, C., Gultekin, S.H., Yener, B.

    “…This work presents a graph-based representation (a.k.a., cell-graph) of histopathological images for automated cancer diagnosis by probabilistically assigning…”
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  13. 13

    On the Security of Key Extraction From Measuring Physical Quantities by Edman, Matthew, Kiayias, Aggelos, Qiang Tang, Yener, Bulent

    “…Key extraction via measuring a physical quantity is a class of information theoretic key exchange protocols that rely on the physical characteristics of the…”
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  14. 14

    The natural and engineered 3D microenvironment as a regulatory cue during stem cell fate determination by Lund, Amanda W, Yener, Bülent, Stegemann, Jan P, Plopper, George E

    Published in Tissue engineering. Part B, Reviews (01-09-2009)
    “…The concept of using stem cells as self-renewing sources of healthy cells in regenerative medicine has existed for decades, but most applications have yet to…”
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    Deep Learning of Simultaneous Intracranial and Scalp EEG for Prediction, Detection, and Lateralization of Mesial Temporal Lobe Seizures by Li, Zan, Fields, Madeline, Panov, Fedor, Ghatan, Saadi, Yener, Bülent, Marcuse, Lara

    Published in Frontiers in neurology (11-11-2021)
    “…In people with drug resistant epilepsy (DRE), seizures are unpredictable, often occurring with little or no warning. The unpredictability causes anxiety and…”
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  16. 16

    Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks by Camtepe, S.A., Yener, B.

    Published in IEEE/ACM transactions on networking (01-04-2007)
    “…Secure communications in wireless sensor networks operating under adversarial conditions require providing pairwise (symmetric) keys to sensor nodes. In large…”
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    Effective graph classification based on topological and label attributes by Li, Geng, Semerci, Murat, Yener, Bülent, Zaki, Mohammed J.

    Published in Statistical analysis and data mining (01-08-2012)
    “…Graph classification is an important data mining task, and various graph kernel methods have been proposed recently for this task. These methods have proven to…”
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    Multiscale feature analysis of salivary gland branching morphogenesis by Bilgin, Cemal Cagatay, Ray, Shayoni, Baydil, Banu, Daley, William P, Larsen, Melinda, Yener, Bülent

    Published in PloS one (05-03-2012)
    “…Pattern formation in developing tissues involves dynamic spatio-temporal changes in cellular organization and subsequent evolution of functional adult…”
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    Coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship by Acar, Evrim, Plopper, George E, Yener, Bülent

    Published in PloS one (30-03-2012)
    “…The structure/function relationship is fundamental to our understanding of biological systems at all levels, and drives most, if not all, techniques for…”
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  20. 20

    The cell graphs of cancer by Gunduz, Cigdem, Yener, Bülent, Gultekin, S. Humayun

    Published in Bioinformatics (04-08-2004)
    “…We report a novel, proof-of-concept, computational method that models a type of brain cancer (glioma) only by using the topological properties of its cells in…”
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