Martin Styner

4 papers · 2017–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

🚀 Conference Pioneer

Venues

MICCAI (2) AISTATS (1) NeurIPS (1)

Top co-authors

Guido Gerig (2) Kelly N. Botteron (1) Yi Hong (1) Rebecca Grzadzinski (1) Juhi Pandey (1) Annette M. Estes (1) Tingting Dan (1) Audrey M. Shen (1) Tanya St. John (1) Ahsan Mahmood (1)

Research topics

Machine Learning (2) Core Methods (2) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Mathematics & Optimization (1) Clinical (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1)

Keywords

representation learning (1) self-supervised learning (1) medical imaging (1) grassmann manifold (1) riemannian manifold (1) spatio-temporal learning (1) confidence interval (1) longitudinal analysis (1) longitudinal imaging (1) neuroimage analysis (1) segmentation consistency (1) geodesic regression (1)

Papers

Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder MICCAI 2025 Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling MICCAI 2024 Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis NeurIPS 2022 Regression Uncertainty on the Grassmannian AISTATS 2017