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Kayvan Najarian

Showing results (21-30 of 171) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Confidence-based classification with dynamic conformal prediction and its applications in biomedicineYurong Luo, Abed Al-Raoof Bsoul, Kayvan Najarian
Diagnostics (Basel, Switzerland)|August 10, 2024
Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small DatasetsYufeng Zhang, Joseph Kohne, Emily Wittrup, et al.
Computational and Mathematical Methods in Medicine|March 28, 2013
An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing processVarun Oswal, Ashwin Belle, Robert Diegelmann, et al.
Computers in Biology and Medicine|January 15, 2019
Private naive bayes classification of personal biomedical data: Application in cancer data analysisAlexander Wood, Vladimir Shpilrain, Kayvan Najarian, et al.
BMC Medical Informatics and Decision Making|October 17, 2012
Non-linear dynamical signal characterization for prediction of defibrillation success through machine learningSharad Shandilya, Kevin Ward, Michael Kurz, et al.
Artificial Intelligence in Medicine|August 24, 2020
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injuryHeming Yao, Craig Williamson, Jonathan Gryak, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 21, 2003
Breast cancer detection in gadolinium-enhanced MR images by static region descriptors and neural networksAngelina A Tzacheva, Kayvan Najarian, John P Brockway
Future Oncology (London, England)|July 7, 2012
Signatures of tumor-immune interactions as biomarkers for breast cancer prognosisMasoud H Manjili, Kayvan Najarian, Xiang-Yang Wang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Hierarchical object recognition in Pelvic CT ImagesSimina Vasilache, Wenan Chen, Kevin Ward, et al.
NPJ Digital Medicine|May 8, 2021
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognosticationNegar Farzaneh, Craig A Williamson, Jonathan Gryak, et al.
Pageof 18

Showing results (21-30 of 171) with videos related to

Sort By:
Pageof 18
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Confidence-based classification with dynamic conformal prediction and its applications in biomedicineYurong Luo, Abed Al-Raoof Bsoul, Kayvan Najarian
Diagnostics (Basel, Switzerland)|August 10, 2024
Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small DatasetsYufeng Zhang, Joseph Kohne, Emily Wittrup, et al.
Computational and Mathematical Methods in Medicine|March 28, 2013
An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing processVarun Oswal, Ashwin Belle, Robert Diegelmann, et al.
Computers in Biology and Medicine|January 15, 2019
Private naive bayes classification of personal biomedical data: Application in cancer data analysisAlexander Wood, Vladimir Shpilrain, Kayvan Najarian, et al.
BMC Medical Informatics and Decision Making|October 17, 2012
Non-linear dynamical signal characterization for prediction of defibrillation success through machine learningSharad Shandilya, Kevin Ward, Michael Kurz, et al.
Artificial Intelligence in Medicine|August 24, 2020
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injuryHeming Yao, Craig Williamson, Jonathan Gryak, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 21, 2003
Breast cancer detection in gadolinium-enhanced MR images by static region descriptors and neural networksAngelina A Tzacheva, Kayvan Najarian, John P Brockway
Future Oncology (London, England)|July 7, 2012
Signatures of tumor-immune interactions as biomarkers for breast cancer prognosisMasoud H Manjili, Kayvan Najarian, Xiang-Yang Wang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Hierarchical object recognition in Pelvic CT ImagesSimina Vasilache, Wenan Chen, Kevin Ward, et al.
NPJ Digital Medicine|May 8, 2021
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognosticationNegar Farzaneh, Craig A Williamson, Jonathan Gryak, et al.
Pageof 18