खोज परिणाम - Jayashree Kalpathy‐Cramer

परिणाम को परिष्कृत करें
  1. 1
    Machine Learning Has Arrived!

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

    प्रकाशित 2017
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Editorial
    सूची में सहेजें
    में बचाया:
  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 द्वारा Niranjan Balachandar, Ken Chang, Jayashree Kalpathy‐Cramer, Daniel L. Rubin

    प्रकाशित 2020
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Jayashree Kalpathy‐Cramer, John Freymann, Justin Kirby, Paul E. Kinahan, Fred Prior

    प्रकाशित 2014
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Ian Pan, Hans Henrik Thodberg, Safwan S. Halabi, Jayashree Kalpathy‐Cramer, David B. Larson

    प्रकाशित 2019
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  5. 5
    A review of deep learning for brain tumor analysis in MRI

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

    प्रकाशित 2025
    पूर्ण पाठ प्राप्त करें
    Revisão
    सूची में सहेजें
    में बचाया:
  6. 6
    Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

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

    प्रकाशित 2014
    पूर्ण पाठ प्राप्त करें
    Revisão
    सूची में सहेजें
    में बचाया:
  7. 7
    Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model

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

    प्रकाशित 2016
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  8. 8
    Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network

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

    प्रकाशित 2019
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  9. 9
    Artificial Intelligence in Retinopathy of Prematurity Diagnosis

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

    प्रकाशित 2020
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Revisão
    सूची में सहेजें
    में बचाया:
  10. 10
    Standard chemoradiation for glioblastoma results in progressive brain volume loss

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

    प्रकाशित 2015
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  11. 11
    High-resolution medical image synthesis using progressively grown generative adversarial networks

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

    प्रकाशित 2018
    पूर्ण पाठ प्राप्त करें
    Pré-impressão
    सूची में सहेजें
    में बचाया:
  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? द्वारा Eric Yang, Matthew Li, Shruti Raghavan, Francis Deng, Min Lang, Marc D. Succi, Ambrose J. Huang, Jayashree Kalpathy-Cramer

    प्रकाशित 2023
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Verónica Bolón‐Canedo, Esra Ataer-Cansızoğlu, Deniz Erdoğmuş, Jayashree Kalpathy‐Cramer, Óscar Fontenla-Romero, Amparo Alonso‐Betanzos, Michael F. Chiang

    प्रकाशित 2015
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  14. 14
    Distributed deep learning networks among institutions for medical imaging

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

    प्रकाशित 2018
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Matthew Li, Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon, William A. Mehan, Thabele M Leslie‐Mazwi, Jayashree Kalpathy‐Cramer

    प्रकाशित 2020
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Nancy A. Obuchowski, Huiman X. Barnhart, Andrew J. Buckler, Gene Pennello, Xiaofeng Wang, Jayashree Kalpathy‐Cramer, Grace Hyun J. Kim, Anthony P. Reeves

    प्रकाशित 2014
    पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा Samuel J. Wang, Andrew Lemieux, Jayashree Kalpathy‐Cramer, Celine Bicquart Ord, Gary V. Walker, Clifton D. Fuller, Jong Sung Kim, Charles R. Thomas

    प्रकाशित 2011
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा 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

    प्रकाशित 2015
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:
  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 द्वारा 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

    प्रकाशित 2016
    पूर्ण पाठ प्राप्त करें
    Artigo
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    में बचाया:
  20. 20
    Improving the repeatability of deep learning models with Monte Carlo dropout

    Improving the repeatability of deep learning models with Monte Carlo dropout द्वारा 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

    प्रकाशित 2022
    पूर्ण पाठ प्राप्त करें पूर्ण पाठ प्राप्त करें
    Artigo
    सूची में सहेजें
    में बचाया:

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