Maria Vakalopoulou
16 papers · 2023–2026 · 9 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (5) 🤝 Dynamic Duo (10)
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Research topics
Machine Learning
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Artificial Intelligence
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Deep Learning
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Learning Types · Machine Learning
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Healthcare & Medicine
(5)
Application Areas
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Clinical
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Core AI
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Core Methods
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Learning Types · Deep Learning
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Domain-Specific
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Bayesian & Probabilistic
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Keywords
multiple instance learning
(5)
medical imaging
(3)
whole slide image
(3)
foundation model
(3)
representation learning
(3)
digital pathology
(3)
probabilistic modeling
(2)
contrastive learning
(2)
self-supervised learning
(2)
multi-label classification
(1)
multimodal learning
(1)
data augmentation
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bayesian inference
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weak supervision
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diffusion model
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adversarial robustness
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generative model
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model calibration
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gaussian process
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deep learning
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Papers
Context-Aware Patch Representations for Multiple Instance Learning
MIDL 2026
Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology
MIDL 2026
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
WACV 2026
SGPMIL: Sparse Gaussian Process Multiple Instance Learning
WACV 2026
SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
CVPR 2026
Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge
MIDL 2025
Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data
MICCAI 2025
Controllable Latent Space Augmentation for Digital Pathology
ICCV 2025
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
MIDL 2024
Preface for International Conference on Medical Imaging with Deep Learning 2024
MIDL 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
CVPR 2024
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
ICLR 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
ECCV 2024
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
NeurIPS 2024
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning
MIDL 2023
Towards better certified segmentation via diffusion models
UAI 2023