Maria Vakalopoulou
15 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer π Conference Polyglot (9) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π
Century Club
(12)
β‘
Prolific Year
(6)
Conferences
MIDL (6)
WACV (2)
CVPR (1)
ECCV (1)
ICCV (1)
ICLR (1)
MICCAI (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
multiple instance learning
(5)
foundation model
(3)
digital pathology
(3)
medical imaging
(2)
representation learning
(2)
probabilistic modeling
(2)
whole slide image
(2)
bayesian inference
(1)
multi-label classification
(1)
image segmentation
(1)
data augmentation
(1)
weak supervision
(1)
gaussian process
(1)
parameter-efficient fine-tuning
(1)
adversarial robustness
(1)
randomized smoothing
(1)
self-supervised learning
(1)
diffusion model
(1)
generative model
(1)
uncertainty quantification
(1)
Papers
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
WACV 2026
Context-Aware Patch Representations for Multiple Instance Learning
MIDL 2026
SGPMIL: Sparse Gaussian Process Multiple Instance Learning
WACV 2026
Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology
MIDL 2026
Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data
MICCAI 2025
Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge
MIDL 2025
Controllable Latent Space Augmentation for Digital Pathology
ICCV 2025
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
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
ECCV 2024
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
ICLR 2024
You Donβt Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
NIPS 2024
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
MIDL 2024
Towards better certified segmentation via diffusion models
UAI 2023
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning
MIDL 2023