Zoekresultaten - Jayashree Kalpathy‐Cramer

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  1. 1
    Machine Learning Has Arrived!

    Machine Learning Has Arrived! door Aaron Lee, Paul Taylor, Jayashree Kalpathy‐Cramer, Adnan Tufail

    Gepubliceerd in 2017
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  2. 2
    Accounting for data variability in multi-institutional distributed deep learning for medical imaging

    Accounting for data variability in multi-institutional distributed deep learning for medical imaging door Niranjan Balachandar, Ken Chang, Jayashree Kalpathy‐Cramer, Daniel L. Rubin

    Gepubliceerd in 2020
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  3. 3
    Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive

    Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive door Jayashree Kalpathy‐Cramer, John Freymann, Justin Kirby, Paul E. Kinahan, Fred Prior

    Gepubliceerd in 2014
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  4. 4
    Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge

    Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge door Ian Pan, Hans Henrik Thodberg, Safwan S. Halabi, Jayashree Kalpathy‐Cramer, David B. Larson

    Gepubliceerd in 2019
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  5. 5
    A review of deep learning for brain tumor analysis in MRI

    A review of deep learning for brain tumor analysis in MRI door Felix J. Dorfner, Jay Patel, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Christopher P. Bridge

    Gepubliceerd in 2025
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  6. 6
    Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

    Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma door Jayashree Kalpathy‐Cramer, Elizabeth R. Gerstner, Kyrre E. Emblem, Ovidiu C. Andronesi, Bruce R. Rosen

    Gepubliceerd in 2014
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  7. 7
    Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model

    Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model door Matthieu Lê, Hervé Delingette, Jayashree Kalpathy‐Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache

    Gepubliceerd in 2016
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  8. 8
    Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network

    Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network door Manuel A. Morales, David Izquierdo‐Garcia, Iman Aganj, Jayashree Kalpathy‐Cramer, Bruce R. Rosen, Ciprian Catana

    Gepubliceerd in 2019
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  9. 9
    Artificial Intelligence in Retinopathy of Prematurity Diagnosis

    Artificial Intelligence in Retinopathy of Prematurity Diagnosis door Brittni A. Scruggs, R.V. Paul Chan, Jayashree Kalpathy‐Cramer, Michael F. Chiang, J. Peter Campbell

    Gepubliceerd in 2020
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  10. 10
    Standard chemoradiation for glioblastoma results in progressive brain volume loss

    Standard chemoradiation for glioblastoma results in progressive brain volume loss door Morgan J. Prust, Kourosh Jafari‐Khouzani, Jayashree Kalpathy‐Cramer, Pavlina Polaskova, Tracy T. Batchelor, Elizabeth R. Gerstner, Jörg Dietrich

    Gepubliceerd in 2015
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  11. 11
    High-resolution medical image synthesis using progressively grown generative adversarial networks

    High-resolution medical image synthesis using progressively grown generative adversarial networks door Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer

    Gepubliceerd in 2018
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  12. 12
    Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?

    Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification? door Eric Yang, Matthew Li, Shruti Raghavan, Francis Deng, Min Lang, Marc D. Succi, Ambrose J. Huang, Jayashree Kalpathy-Cramer

    Gepubliceerd in 2023
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  13. 13
    Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach

    Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach door Verónica Bolón‐Canedo, Esra Ataer-Cansızoğlu, Deniz Erdoğmuş, Jayashree Kalpathy‐Cramer, Óscar Fontenla-Romero, Amparo Alonso‐Betanzos, Michael F. Chiang

    Gepubliceerd in 2015
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  14. 14
    Distributed deep learning networks among institutions for medical imaging

    Distributed deep learning networks among institutions for medical imaging door Ken Chang, Niranjan Balachandar, Carson Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy‐Cramer

    Gepubliceerd in 2018
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  15. 15
    Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

    Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports door Matthew Li, Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon, William A. Mehan, Thabele M Leslie‐Mazwi, Jayashree Kalpathy‐Cramer

    Gepubliceerd in 2020
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  16. 16
    Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an example

    Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an example door Nancy A. Obuchowski, Huiman X. Barnhart, Andrew J. Buckler, Gene Pennello, Xiaofeng Wang, Jayashree Kalpathy‐Cramer, Grace Hyun J. Kim, Anthony P. Reeves

    Gepubliceerd in 2014
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  17. 17
    Nomogram for Predicting the Benefit of Adjuvant Chemoradiotherapy for Resected Gallbladder Cancer

    Nomogram for Predicting the Benefit of Adjuvant Chemoradiotherapy for Resected Gallbladder Cancer door Samuel J. Wang, Andrew Lemieux, Jayashree Kalpathy‐Cramer, Celine Bicquart Ord, Gary V. Walker, Clifton D. Fuller, Jong Sung Kim, Charles R. Thomas

    Gepubliceerd in 2011
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  18. 18
    Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma

    Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma door Melissa Prah, Steven M. Stufflebeam, E.S. Paulson, Jayashree Kalpathy‐Cramer, Elizabeth R. Gerstner, Tracy T. Batchelor, Daniel P. Barboriak, Bruce R. Rosen, Kathleen M. Schmainda

    Gepubliceerd in 2015
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  19. 19
    A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

    A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study door Jayashree Kalpathy‐Cramer, Binsheng Zhao, Dmitry B. Goldgof, Irene Yu‐Hua Gu, Larry X. W. Wang, Hao Yang, Yongqiang Tan, Robert J. Gillies, Sandy Napel

    Gepubliceerd in 2016
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  20. 20
    Improving the repeatability of deep learning models with Monte Carlo dropout

    Improving the repeatability of deep learning models with Monte Carlo dropout door Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Sílvia de Sanjosé, Didem Egemen, Ana Cecilia Rodríguez, Mark Schiffman, J. Peter Campbell, Jayashree Kalpathy‐Cramer

    Gepubliceerd in 2022
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