X Ray Detection Professors in Global

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Marie-christine Zdora
Monash University Australia
x-ray imaging
x-ray physics
x-ray dark-field imaging
x-ray ct imaging
x-ray speckle-based imaging
image retrieval
x-ray multi-modal imaging
x-ray technique development
phase contrast x-ray imaging
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Linda Croton
Monash University Australia
x-ray imaging
x-ray optics
x-ray physics
x-ray ct imaging
phase contrast x-ray imaging
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Sankaran Iyer
University of New South Wales Australia
object detection
computer vision
pedestrian detection
anomaly detection
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
machine learning
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Du Huynh
University of Western Australia Australia
object detection
computer vision
pattern recognition
machine learning
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Len Hamey
Macquarie University Australia
computer vision
image analysis
pattern recognition
machine learning
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Ekta Vats
Uppsala University Sweden
computer vision
image analysis
machine learning
optical character recognition
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Ke Chen
University of Manchester United Kingdom
computer vision
machine perception
pattern recognition
machine learning
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Olga Veksler
University of Waterloo Canada
computer vision
image segmentation
machine learning
salient object detection
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
machine learning
fraud detection
outlier detection
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James Tutt
Pennsylvania State University United States of America
soft x-ray detection
x-ray spectrometers
neutrino detection
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Julia Herzen
Technical University of Munich Germany
spectral detection
x-ray computed tomography
x-ray phase contrast
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Christian Schroer
University of Hamburg Germany
x-ray optics
x-ray microscopy
x-ray nanoscience
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Dan Mccammon
University of Wisconsin–Madison United States of America
x-ray instrumentation
x-ray astronomy
diffuse x-ray background
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
computer vision
face recognition
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Sanja Fidler
University of Toronto Canada
object detection
computer vision
object segmentation
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Bastian Leibe
RWTH Aachen University Germany
object detection
computer vision
machine learning
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Josien Pluim
Eindhoven University of Technology Belgium
image detection
image segmentation
machine learning
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Denis Leahy
University of Calgary Canada
x-ray astronomy
x-ray binaries
x-ray pulsars
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Fons Van Der Sommen
Eindhoven University of Technology Belgium
computer-aided detection
computer vision
machine learning
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Andrew Bond
University of Cambridge United Kingdom
x-ray crystallography
powder x-ray diffraction
single-crystal x-ray diffraction
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