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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individualsYuxiang Wei, Anees Abrol, James Lah, et al.
Frontiers in Neuroscience|November 23, 2017
Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional ConnectivityAnees Abrol, Barnaly Rashid, Srinivas Rachakonda, et al.
Sensors (Basel, Switzerland)|February 10, 2024
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive ImpairmentSahithi Kolla, Haleh Falakshahi, Anees Abrol, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network ConnectivityVictor M Vergara, Anees Abrol, Flor A Espinoza, et al.
Neuroimage|June 8, 2024
Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivityYuda Bi, Anees Abrol, Sihan Jia, et al.
IEEE Transactions on Bio-Medical Engineering|August 20, 2025
From Symptomatic to Pre-symptomatic: Adaptive Knowledge Distillation for Early Alzheimer's Detection Using Functional MRIYuxiang Wei, Anees Abrol, James Lah, et al.
Plos One|May 20, 2024
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivityReihaneh Hassanzadeh, Anees Abrol, Godfrey Pearlson, et al.
Frontiers in Neuroscience|September 22, 2018
Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and SimulationsRobyn L Miller, Anees Abrol, Tulay Adali, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2020
Addressing Inaccurate Nosology in Mental Health: A Multilabel Data Cleansing Approach for Detecting Label Noise From Structural Magnetic Resonance Imaging Data in Mood and Psychosis DisordersHooman Rokham, Godfrey Pearlson, Anees Abrol, et al.
Research Square|January 3, 2024
Voxel-wise Fusion of Resting fMRI Networks and Gray Matter Volume for Alzheimer's Disease Classification using Deep Multimodal LearningVaibhavi S Itkyal, Anees Abrol, Theodore J LaGrow, et al.
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