Polina Golland

16 papers · 2007–2025 · 8 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (2) 🗃️ Keyword Collector (65) 📈 Trend Setter 💎 Century Club (16) ⚡ Prolific Year (5)

Conferences

NIPS (4) MICCAI (3) CVPR (2) ICLR (2) MIDL (2) ICML (1) MLHC (1) WACV (1)

Top co-authors

Benjamin Billot (6) Neel Dey (6) Esra Abaci Turk (5) Yingcheng Liu (3) P. Ellen Grant (3) Ellen Grant (3) Peiqi Wang (3) Sebastian Diaz (2) Danial Lashkari (2) Bruce Fischl (2)

Keywords

image registration (2) fmri analysis (2) representation learning (1) contrastive learning (1) stochastic gradient descent (1) nonparametric bayesian (1) pose estimation (1) domain randomization (1) convex optimization (1) model calibration (1) motion estimation (1) medical imaging (1) expectation maximization (1) image reconstruction (1) instance segmentation (1) variational inference (1) synthetic data generation (1) maximum likelihood (1) fisher information (1) 3d reconstruction (1)

Papers

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation MICCAI 2025 Calibrating Expressions of Certainty ICLR 2025 Learning General-purpose Biomedical Volume Representations using Randomized Synthesis ICLR 2025 Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose MICCAI 2025 Spatial regularisation for improved accuracy and interpretability in keypoint-based registration MICCAI 2025 AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation WACV 2024 Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI CVPR 2024 Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering CVPR 2024 Implicit Representations via Operator Learning ICML 2024 Network conditioning for synergistic learning on partial annotations MIDL 2024 Data Consistent Deep Rigid MRI Motion Correction MIDL 2023 Sample-Specific Debiasing for Better Image-Text Models MLHC 2023 PEP: Parameter Ensembling by Perturbation NIPS 2020 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010 Functional Geometry Alignment and Localization of Brain Areas NIPS 2010 Convex Clustering with Exemplar-Based Models NIPS 2007