Shadi Albarqouni
9 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Domain-Specific
(3)
Analysis
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Clinical
(1)
Core AI
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
medical imaging
(3)
image segmentation
(2)
contrastive learning
(2)
transfer learning
(2)
self-supervised learning
(2)
domain adaptation
(2)
uncertainty quantification
(1)
medical image segmentation
(1)
brain imaging
(1)
magnetic resonance imaging
(1)
benchmark dataset
(1)
out-of-distribution detection
(1)
deep generative model
(1)
vision model
(1)
unsupervised anomaly detection
(1)
computed tomography
(1)
cross-silo federated learning
(1)
graph convolutional network
(1)
healthcare data
(1)
contrastive clustering
(1)
Papers
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
MICCAI 2025
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
NeurIPS 2023
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
The OOD Blind Spot of Unsupervised Anomaly Detection
MIDL 2021
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
ECCV 2020
Fairness by Learning Orthogonal Disentangled Representations
ECCV 2020
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
MIDL 2020
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation
MIDL 2019