Joshua Robinson
Publications by Year
Research Areas
Advanced Neuroimaging Techniques and Applications, Functional Brain Connectivity Studies, Domain Adaptation and Few-Shot Learning, Advanced MRI Techniques and Applications, Advanced Graph Neural Networks
Most-Cited Works
- → Contrastive Learning with Hard Negative Samples(2020)37 cited
- → Debiased Contrastive Learning(2020)19 cited
- M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations(2021)
- Can contrastive learning avoid shortcut solutions?(2021)
- → Altered white matter diffusivity and subtle motor function in a pilot cohort of adolescents with sports-related concussion(2022)12 cited
- Flexible Modeling of Diversity with Strongly Log-Concave Distributions(2019)
- → A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism(2020)6 cited
- → ADHD-related sex differences in frontal lobe white matter microstructure and associations with response control under conditions of varying cognitive load and motivational contingencies(2023)6 cited
- → A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes(2021)5 cited
- → Strength from Weakness: Fast Learning Using Weak Supervision(2020)5 cited