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International Journal of Computer Assisted Radiology and Surgery
|
February 8, 2019
A review on lung boundary detection in chest X-rays
Sema Candemir, Sameer Antani
Applied Sciences (Basel, Switzerland)
|
May 28, 2020
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, et al.
Radiology. Artificial Intelligence
|
December 6, 2021
Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios
Sema Candemir, Xuan V Nguyen, Les R Folio, et al.
Tomography (Ann Arbor, Mich.)
|
July 27, 2022
Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features
Xuan V Nguyen, Engin Dikici, Sema Candemir, et al.
Alzheimer Disease and Associated Disorders
|
September 14, 2020
Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data
Xuan V Nguyen, Sema Candemir, Barbaros Selnur Erdal, et al.
Quantitative Imaging in Medicine and Surgery
|
May 1, 2013
Automatic screening for tuberculosis in chest radiographs: a survey
Stefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
May 9, 2016
Atlas-based rib-bone detection in chest X-rays
Sema Candemir, Stefan Jaeger, Sameer Antani, et al.
Quantitative Imaging in Medicine and Surgery
|
December 20, 2014
Two public chest X-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, et al.
Journal of Medical Systems
|
July 1, 2018
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs
Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
August 25, 2020
Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis
Sema Candemir, Xuan V Nguyen, Luciano M Prevedello, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
International Journal of Computer Assisted Radiology and Surgery
|
February 8, 2019
A review on lung boundary detection in chest X-rays
Sema Candemir, Sameer Antani
Applied Sciences (Basel, Switzerland)
|
May 28, 2020
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, et al.
Radiology. Artificial Intelligence
|
December 6, 2021
Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios
Sema Candemir, Xuan V Nguyen, Les R Folio, et al.
Tomography (Ann Arbor, Mich.)
|
July 27, 2022
Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features
Xuan V Nguyen, Engin Dikici, Sema Candemir, et al.
Alzheimer Disease and Associated Disorders
|
September 14, 2020
Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data
Xuan V Nguyen, Sema Candemir, Barbaros Selnur Erdal, et al.
Quantitative Imaging in Medicine and Surgery
|
May 1, 2013
Automatic screening for tuberculosis in chest radiographs: a survey
Stefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
May 9, 2016
Atlas-based rib-bone detection in chest X-rays
Sema Candemir, Stefan Jaeger, Sameer Antani, et al.
Quantitative Imaging in Medicine and Surgery
|
December 20, 2014
Two public chest X-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, et al.
Journal of Medical Systems
|
July 1, 2018
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs
Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
August 25, 2020
Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis
Sema Candemir, Xuan V Nguyen, Luciano M Prevedello, et al.
Page
of 2