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IEEE Transactions on Bio-Medical Engineering
|
March 13, 2008
Multiple-instance learning algorithms for computer-aided detection
M Murat Dundar, Glenn Fung, Balaji Krishnapuram, et al.
Bioengineering (Basel, Switzerland)
|
September 28, 2023
Deep-Learning-Based High-Intensity Focused Ultrasound Lesion Segmentation in Multi-Wavelength Photoacoustic Imaging
Xun Wu, Jean L Sanders, M Murat Dundar, et al.
International Orthodontics
|
May 17, 2023
A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population
Taylor Mason, Kynnedy M Kelly, George Eckert, et al.
IEEE Transactions on Bio-Medical Engineering
|
February 8, 2011
Computerized classification of intraductal breast lesions using histopathological images
M Murat Dundar, Sunil Badve, Gokhan Bilgin, et al.
Orthodontics & Craniofacial Research
|
February 27, 2023
Can we predict orthodontic extraction patterns by using machine learning?
Landon Leavitt, James Volovic, Lily Steinhauer, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
November 26, 2010
Discovering the unknown: detection of emerging pathogens using a label-free light-scattering system
Bartek Rajwa, M Murat Dundar, Ferit Akova, et al.
PLOS Digital Health
|
April 23, 2024
Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality
Bartek Rajwa, Md Mobasshir Arshed Naved, Mohammad Adibuzzaman, et al.
Scientific Reports
|
January 25, 2022
High-throughput segmentation of unmyelinated axons by deep learning
Emanuele Plebani, Natalia P Biscola, Leif A Havton, et al.
Frontiers in Neuroscience
|
March 27, 2023
A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
Abida Sanjana Shemonti, Emanuele Plebani, Natalia P Biscola, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Bio-Medical Engineering
|
March 13, 2008
Multiple-instance learning algorithms for computer-aided detection
M Murat Dundar, Glenn Fung, Balaji Krishnapuram, et al.
Bioengineering (Basel, Switzerland)
|
September 28, 2023
Deep-Learning-Based High-Intensity Focused Ultrasound Lesion Segmentation in Multi-Wavelength Photoacoustic Imaging
Xun Wu, Jean L Sanders, M Murat Dundar, et al.
International Orthodontics
|
May 17, 2023
A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population
Taylor Mason, Kynnedy M Kelly, George Eckert, et al.
IEEE Transactions on Bio-Medical Engineering
|
February 8, 2011
Computerized classification of intraductal breast lesions using histopathological images
M Murat Dundar, Sunil Badve, Gokhan Bilgin, et al.
Orthodontics & Craniofacial Research
|
February 27, 2023
Can we predict orthodontic extraction patterns by using machine learning?
Landon Leavitt, James Volovic, Lily Steinhauer, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
November 26, 2010
Discovering the unknown: detection of emerging pathogens using a label-free light-scattering system
Bartek Rajwa, M Murat Dundar, Ferit Akova, et al.
PLOS Digital Health
|
April 23, 2024
Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality
Bartek Rajwa, Md Mobasshir Arshed Naved, Mohammad Adibuzzaman, et al.
Scientific Reports
|
January 25, 2022
High-throughput segmentation of unmyelinated axons by deep learning
Emanuele Plebani, Natalia P Biscola, Leif A Havton, et al.
Frontiers in Neuroscience
|
March 27, 2023
A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
Abida Sanjana Shemonti, Emanuele Plebani, Natalia P Biscola, et al.
Page
of 1