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NPJ Schizophrenia
|
January 20, 2019
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning
Sunil Vasu Kalmady, Russell Greiner, Rimjhim Agrawal, et al.
Nucleic Acids Research
|
May 10, 2022
BioTransformer 3.0-a web server for accurately predicting metabolic transformation products
David S Wishart, Siyang Tian, Dana Allen, et al.
JMIR Serious Games
|
December 21, 2020
Health Care Providers' Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study
Maria Cutumisu, Simran K Ghoman, Chang Lu, et al.
Data in Brief
|
September 27, 2021
A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces
Ammar Hassanzadeh Keshteli, Dana Allen, Afia Anjum, et al.
Informatics in Medicine Unlocked
|
August 9, 2021
Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, et al.
NPJ Schizophrenia
|
November 7, 2020
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
Sunil Vasu Kalmady, Animesh Kumar Paul, Russell Greiner, et al.
NPJ Schizophrenia
|
June 1, 2017
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
Mina Gheiratmand, Irina Rish, Guillermo A Cecchi, et al.
Journal of Cheminformatics
|
November 22, 2016
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy
Yannick Djoumbou Feunang, Roman Eisner, Craig Knox, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
December 20, 2021
Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
Sunil Vasu Kalmady, Animesh Kumar Paul, Janardhanan C Narayanaswamy, et al.
The Journal of Nutrition
|
December 14, 2011
Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach
Cynthia Stretch, Thomas Eastman, Rupasri Mandal, et al.
Page
of 13
Search research articles
Search
Showing results (81-90 of 122) with videos related to
Sort By:
Page
of 13
NPJ Schizophrenia
|
January 20, 2019
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning
Sunil Vasu Kalmady, Russell Greiner, Rimjhim Agrawal, et al.
Nucleic Acids Research
|
May 10, 2022
BioTransformer 3.0-a web server for accurately predicting metabolic transformation products
David S Wishart, Siyang Tian, Dana Allen, et al.
JMIR Serious Games
|
December 21, 2020
Health Care Providers' Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study
Maria Cutumisu, Simran K Ghoman, Chang Lu, et al.
Data in Brief
|
September 27, 2021
A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces
Ammar Hassanzadeh Keshteli, Dana Allen, Afia Anjum, et al.
Informatics in Medicine Unlocked
|
August 9, 2021
Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, et al.
NPJ Schizophrenia
|
November 7, 2020
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
Sunil Vasu Kalmady, Animesh Kumar Paul, Russell Greiner, et al.
NPJ Schizophrenia
|
June 1, 2017
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
Mina Gheiratmand, Irina Rish, Guillermo A Cecchi, et al.
Journal of Cheminformatics
|
November 22, 2016
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy
Yannick Djoumbou Feunang, Roman Eisner, Craig Knox, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
December 20, 2021
Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
Sunil Vasu Kalmady, Animesh Kumar Paul, Janardhanan C Narayanaswamy, et al.
The Journal of Nutrition
|
December 14, 2011
Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach
Cynthia Stretch, Thomas Eastman, Rupasri Mandal, et al.
Page
of 13