13 citations · 33 across the 12 of their papers we have counts for
12 papers
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
Md Asadullah Turja, Martin Styner, Guorong Wu
Functional brain dynamics is supported by parallel and overlapping functional network modes that are associated with specific neural circuits. Decomposing these network modes from…
Anomaly Detection via Gumbel Noise Score Matching
Ahsan Mahmood, Junier Oliva, Martin Styner
We propose Gumbel Noise Score Matching (GNSM), a novel unsupervised method to detect anomalies in categorical data. GNSM accomplishes this by estimating the scores, i.e. the gradie…
Harmonization Benchmarking Tool for Neuroimaging Datasets
Tom Osika, Ebrahim Ebrahim, Martin Styner +3
A major data pre-processing step for large, multi-site studies is to handle site effects by harmonizing data, generating a dataset that enables more powerful analyses and more robu…
Optimal Transport Features for Morphometric Population Analysis
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim +5
Brain pathologies often manifest as partial or complete loss of tissue. The goal of many neuroimaging studies is to capture the location and amount of tissue changes with respect t…
Multi-view Attention for gestational age at birth prediction
Mathieu Leclercq, Martin Styner, Juan Carlos Prieto
We present our method for gestational age at birth prediction for the SLCN (surface learning for clinical neuroimaging) challenge. Our method is based on a multi-view shape analysi…
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Mengwei Ren, Neel Dey, Martin A. Styner +2
Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation. Howev…