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Kayvan Najarian

Showing results (1-10 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
ε-Tube regression: a new method for motion artifact reductionSardar Ansari, Kevin Ward, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart DiseaseMatthew Hodgman, Emily Wittrup, Kayvan Najarian
Bioengineering (Basel, Switzerland)|February 23, 2024
Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray ImagesZijun Gao, Emily Wittrup, Kayvan Najarian
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Discovering dynamic regulatory pathway by applying an auto regressive model to time series DNA microarray dataA Darvish, R Hakimzadeh, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning ApproachSardar Ansari, Jonathan Gryak, Kayvan Najarian
IEEE Journal of Biomedical and Health Informatics|April 12, 2014
Epsilon-tube filtering: reduction of high-amplitude motion artifacts from impedance plethysmography signalSardar Ansari, Kevin Ward, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
CoxFNN: Interpretable machine learning method for survival analysisYufeng Zhang, Emily Wittrup, Kayvan Najarian
Dialogues in Clinical Neuroscience|October 21, 2016
Transforming big data into computational models for personalized medicine and health careS M Reza Soroushmehr, Kayvan Najarian
Sensors (Basel, Switzerland)|April 13, 2024
Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic SensorsAli Zare, Emily Wittrup, Kayvan Najarian
BMC Medical Informatics and Decision Making|November 7, 2009
A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray imagesRebecca Smith, Kayvan Najarian, Kevin Ward
Pageof 18

Showing results (1-10 of 171) with videos related to

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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
ε-Tube regression: a new method for motion artifact reductionSardar Ansari, Kevin Ward, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart DiseaseMatthew Hodgman, Emily Wittrup, Kayvan Najarian
Bioengineering (Basel, Switzerland)|February 23, 2024
Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray ImagesZijun Gao, Emily Wittrup, Kayvan Najarian
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Discovering dynamic regulatory pathway by applying an auto regressive model to time series DNA microarray dataA Darvish, R Hakimzadeh, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning ApproachSardar Ansari, Jonathan Gryak, Kayvan Najarian
IEEE Journal of Biomedical and Health Informatics|April 12, 2014
Epsilon-tube filtering: reduction of high-amplitude motion artifacts from impedance plethysmography signalSardar Ansari, Kevin Ward, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
CoxFNN: Interpretable machine learning method for survival analysisYufeng Zhang, Emily Wittrup, Kayvan Najarian
Dialogues in Clinical Neuroscience|October 21, 2016
Transforming big data into computational models for personalized medicine and health careS M Reza Soroushmehr, Kayvan Najarian
Sensors (Basel, Switzerland)|April 13, 2024
Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic SensorsAli Zare, Emily Wittrup, Kayvan Najarian
BMC Medical Informatics and Decision Making|November 7, 2009
A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray imagesRebecca Smith, Kayvan Najarian, Kevin Ward
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