Polina Golland
16 papers · 2007–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(92)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Computer Vision
(5)
Core Methods
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Healthcare & Medicine
(4)
Architectures
(4)
Clinical
(4)
Domain-Specific
(3)
Learning Types
(3)
Interdisciplinary
(2)
Analysis
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
fmri analysis
(2)
functional magnetic resonance imaging
(2)
image registration
(2)
representation learning
(2)
contrastive learning
(2)
nonparametric bayesian
(1)
convex optimization
(1)
stochastic gradient descent
(1)
pose estimation
(1)
image reconstruction
(1)
variational inference
(1)
object recognition
(1)
uncertainty quantification
(1)
model calibration
(1)
semantic analysis
(1)
domain generalization
(1)
medical imaging
(1)
expectation maximization
(1)
motion estimation
(1)
probabilistic modeling
(1)
Papers
Calibrating Expressions of Certainty
ICLR 2025
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
MICCAI 2025
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
ICLR 2025
Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
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
Implicit Representations via Operator Learning
ICML 2024
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
CVPR 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
NeurIPS 2020
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
NeurIPS 2010
Functional Geometry Alignment and Localization of Brain Areas
NeurIPS 2010
Convex Clustering with Exemplar-Based Models
NeurIPS 2007