Lawrence H. Staib

5 papers · 2024–2025 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

CVPR (1) ECCV (1) ICCV (1) MICCAI (1) MIDL (1)

Top co-authors

James S. Duncan (3) Alex Wong (3) Xiaoran Zhang (3) Albert J. Sinusas (2) Daniel H. Pak (2) Anne-Marie Rickmann (1) James s Duncan (1) Shawn S. Ahn (1) Ravid Shwartz-Ziv (1) Tal Zeevi (1)

Research topics

Deep Learning (2) Machine Learning (2) Application Areas (2) Learning Types (2) Computer Vision (1) Healthcare & Medicine (1) Architectures (1) Clinical (1) Domain-Specific (1) Optimization & Theory (1)

Keywords

information theory (1) functional connectivity (1) test-time adaptation (1) medical image segmentation (1) distribution shift (1) adaptive dropout (1) energy-based model (1) uncertainty estimation (1) spatio-temporal attention (1) predictive uncertainty (1) monte carlo dropout (1) graph neural network (1) neural network (1) shape energy (1) effective connectome (1) brain fmri analysis (1) node attention mechanism (1)

Papers

Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025 Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025 STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC MIDL 2025 Adaptive Correspondence Scoring for Unsupervised Medical Image Registration ECCV 2024 Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration MICCAI 2024