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NPJ Schizophrenia|January 20, 2019
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learningSunil Vasu Kalmady, Russell Greiner, Rimjhim Agrawal, et al.
NPJ Digital Medicine|May 18, 2024
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population levelSunil Vasu Kalmady, Amir Salimi, Weijie Sun, et al.
NPJ Schizophrenia|November 7, 2020
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relativesSunil Vasu Kalmady, Animesh Kumar Paul, Russell Greiner, 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 LearningSunil Vasu Kalmady, Animesh Kumar Paul, Janardhanan C Narayanaswamy, et al.
NPJ Digital Medicine|February 6, 2023
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiogramsWeijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, et al.
Frontiers in Psychiatry|August 22, 2022
Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning studyAnimesh Kumar Paul, Anushree Bose, Sunil Vasu Kalmady, et al.
Asian Journal of Psychiatry|June 26, 2020
Leukocyte mitochondrial DNA copy number in schizophreniaVenkataram Shivakumar, Ashwini Rajasekaran, Manjula Subbanna, et al.
Ebiomedicine|March 1, 2023
Development and validation of echocardiography-based machine-learning models to predict mortalityAkshay Valsaraj, Sunil Vasu Kalmady, Vaibhav Sharma, et al.
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