Search Results - "Kalra, K"

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  1. 1

    3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network by Shan, Hongming, Zhang, Yi, Yang, Qingsong, Kruger, Uwe, Kalra, Mannudeep K., Sun, Ling, Cong, Wenxiang, Wang, Ge

    Published in IEEE transactions on medical imaging (01-06-2018)
    “…Low-dose computed tomography (LDCT) has attracted major attention in the medical imaging field, since CT-associated X-ray radiation carries health risks for…”
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  2. 2

    Sleep Apnea and Heart Failure-Current State-of-The-Art by Menon, Tushar, Kalra, Dinesh K

    “…Sleep-disordered breathing (SDB), including obstructive and central sleep apnea, significantly exacerbates heart failure (HF) through adverse cardiovascular…”
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  3. 3

    Deep learning in chest radiography: Detection of findings and presence of change by Singh, Ramandeep, Kalra, Mannudeep K, Nitiwarangkul, Chayanin, Patti, John A, Homayounieh, Fatemeh, Padole, Atul, Rao, Pooja, Putha, Preetham, Muse, Victorine V, Sharma, Amita, Digumarthy, Subba R

    Published in PloS one (04-10-2018)
    “…Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest…”
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    Chest CT practice and protocols for COVID-19 from radiation dose management perspective by Kalra, Mannudeep K., Homayounieh, Fatemeh, Arru, Chiara, Holmberg, Ola, Vassileva, Jenia

    Published in European radiology (01-12-2020)
    “…The global pandemic of coronavirus disease 2019 (COVID-19) has upended the world with over 6.6 million infections and over 391,000 deaths worldwide…”
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  6. 6

    CT radiation dose and iterative reconstruction techniques by Padole, Atul, Ali Khawaja, Ranish Deedar, Kalra, Mannudeep K, Singh, Sarabjeet

    Published in American journal of roentgenology (1976) (01-04-2015)
    “…1. CT radiation dose optimization is one of the major concerns for the scientific community. 2. CT image quality is dependent on the selected image…”
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    Treatment of Fabry Disease: Established and Emerging Therapies by Umer, Muhammad, Kalra, Dinesh K

    Published in Pharmaceuticals (Basel, Switzerland) (01-02-2023)
    “…Fabry disease (FD) is a rare, X-linked inherited disorder of glycosphingolipid metabolism. It leads to the progressive accumulation of globotriaosylceramide…”
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  9. 9

    Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction by Shan, Hongming, Padole, Atul, Homayounieh, Fatemeh, Kruger, Uwe, Khera, Ruhani Doda, Nitiwarangkul, Chayanin, Kalra, Mannudeep K., Wang, Ge

    Published in Nature machine intelligence (01-06-2019)
    “…Commercial iterative reconstruction techniques help to reduce the radiation dose of computed tomography (CT), but altered image appearance and artefacts can…”
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  10. 10

    Molecular Pathways in Pulmonary Arterial Hypertension by Shah, Aangi J., Vorla, Mounica, Kalra, Dinesh K.

    “…Pulmonary arterial hypertension is a multifactorial, chronic disease process that leads to pulmonary arterial endothelial dysfunction and smooth muscular…”
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  11. 11

    Clinical and imaging features predict mortality in COVID-19 infection in Iran by Homayounieh, Fatemeh, Zhang, Eric W, Babaei, Rosa, Karimi Mobin, Hadi, Sharifian, Maedeh, Mohseni, Iman, Kuo, Anderson, Arru, Chiara, Kalra, Mannudeep K, Digumarthy, Subba R

    Published in PloS one (24-09-2020)
    “…The new coronavirus disease 2019 (COVID-19) pandemic has challenged many healthcare systems around the world. While most of the current understanding of the…”
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  12. 12

    FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies by Ebrahimian, Shadi, Kalra, Mannudeep K., Agarwal, Sheela, Bizzo, Bernardo C., Elkholy, Mona, Wald, Christoph, Allen, Bibb, Dreyer, Keith J.

    Published in Academic radiology (01-04-2022)
    “…To assess key trends, strengths, and gaps in validation studies of the Food and Drug Administration (FDA)-regulated imaging-based artificial…”
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  13. 13

    A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing by Peng, Zhao, Fang, Xi, Yan, Pingkun, Shan, Hongming, Liu, Tianyu, Pei, Xi, Wang, Ge, Liu, Bob, Kalra, Mannudeep K., Xu, X. George

    Published in Medical physics (Lancaster) (01-06-2020)
    “…Purpose One technical barrier to patient‐specific computed tomography (CT) dosimetry has been the lack of computational tools for the automatic…”
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  14. 14

    New Drugs and Therapies in Pulmonary Arterial Hypertension by Shah, Aangi J, Beckmann, Taylor, Vorla, Mounica, Kalra, Dinesh K

    “…Pulmonary arterial hypertension is a chronic, progressive disorder of the pulmonary vasculature with associated pulmonary and cardiac remodeling. PAH was a…”
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  15. 15

    Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography by Chao, Hanqing, Shan, Hongming, Homayounieh, Fatemeh, Singh, Ramandeep, Khera, Ruhani Doda, Guo, Hengtao, Su, Timothy, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun

    Published in Nature communications (20-05-2021)
    “…Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer…”
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    Meta-Analysis of the Safety and Efficacy of Direct Oral Anticoagulants for the Treatment of Left Ventricular Thrombus by Vorla, Mounica, Kalra, Dinesh K

    Published in Pharmaceuticals (Basel, Switzerland) (30-05-2024)
    “…Literature on the preferred anticoagulant for treating left ventricular thrombus (LVT) is lacking. Thus, our objective was to compare the efficacy of DOACs…”
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  17. 17

    Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques by SINGH, Sarabjeet, KALRA, Mannudeep K, JIANG HSIEH, LICATO, Paul E, DO, Synho, PIEN, Homer H, BLAKE, Michael A

    Published in Radiology (01-11-2010)
    “…To compare image quality and lesion conspicuity on abdominal computed tomographic (CT) images acquired with different x-ray tube current-time products (50-200…”
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    AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset by Yoo, Hyunsuk, Lee, Sang Hyup, Arru, Chiara Daniela, Doda Khera, Ruhani, Singh, Ramandeep, Siebert, Sean, Kim, Dohoon, Lee, Yuna, Park, Ju Hyun, Eom, Hye Joung, Digumarthy, Subba R., Kalra, Mannudeep K.

    Published in European radiology (01-12-2021)
    “…Objective Assess if deep learning–based artificial intelligence (AI) algorithm improves reader performance for lung cancer detection on chest X-rays (CXRs)…”
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    Adaptive Statistical Iterative Reconstruction Technique for Radiation Dose Reduction in Chest CT: A Pilot Study by SINGH, Sarabjeet, KALRA, Mannudeep K, GILMAN, Matthew D, HSIEH, Jiang, PIEN, Homer H, DIGUMARTHY, Subba R, SHEPARD, Jo-Anne O

    Published in Radiology (01-05-2011)
    “…To compare lesion detection and image quality of chest computed tomographic (CT) images acquired at various tube current-time products (40-150 mAs) and…”
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  20. 20

    CT Radiation: Key Concepts for Gentle and Wise Use by Kalra, Mannudeep K, Sodickson, Aaron D, Mayo-Smith, William W

    Published in Radiographics (01-10-2015)
    “…Use of computed tomography (CT) in medicine comes with the responsibility of its appropriate (wise) and safe (gentle) application to obtain required diagnostic…”
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