Aasa Feragen
21 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
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Trend Setter
ποΈ
Keyword Collector
(80)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(10)
Artificial Intelligence
(6)
Computer Vision
(4)
Deep Learning
(4)
Healthcare & Medicine
(4)
Mathematics & Optimization
(4)
Clinical
(4)
Mathematics
(4)
Processing
(4)
Bayesian & Probabilistic
(3)
Core AI
(3)
Models
(3)
Optimization & Theory
(3)
Computer Science
(2)
Keywords
kernel methods
(3)
riemannian manifold
(3)
image registration
(2)
positive definite kernel
(2)
uncertainty quantification
(2)
shortcut learning
(2)
variational autoencoder
(2)
subspace analysis
(1)
anomaly detection
(1)
image segmentation
(1)
medical imaging
(1)
medical image segmentation
(1)
graph representation
(1)
model interpretability
(1)
optimal transport
(1)
gaussian process regression
(1)
bayesian learning
(1)
brain imaging
(1)
graph classification
(1)
gaussian process
(1)
Papers
SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods
MIDL 2026
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
MIDL 2026
Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control
MICCAI 2025
General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
MICCAI 2025
Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
MICCAI 2025
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
ECCV 2024
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
MICCAI 2024
Interpreting Equivariant Representations
ICML 2024
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
MICCAI 2024
Shortcut Learning in Medical Image Segmentation
MICCAI 2024
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
ICLR 2023
diffConv: Analyzing Irregular Point Clouds with an Irregular View
ECCV 2022
Semantic similarity metrics for learned image registration
MIDL 2021
Spot the Difference: Detection of Topological Changes via Geometric Alignment
NeurIPS 2021
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
AISTATS 2019
Wrapped Gaussian Process Regression on Riemannian Manifolds
CVPR 2018
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
NeurIPS 2017
Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel?
COLT 2016
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
CVPR 2015
Grassmann Averages for Scalable Robust PCA
CVPR 2014
Scalable kernels for graphs with continuous attributes
NeurIPS 2013