Konstantinos Kamnitsas
14 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Machine Learning
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federated learning
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probabilistic model
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parameter-efficient fine-tuning
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multimodal learning
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image segmentation
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vision-language model
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semi-supervised learning
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medical image segmentation
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domain generalization
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knowledge distillation
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probabilistic modeling
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medical imaging
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joint learning
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human feedback
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uncertainty quantification
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disease detection
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graph regularization
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label propagation
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artifact detection
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Papers
The Invisible Gorilla Effect in Out-of-distribution Detection
CVPR 2026
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
CVPR 2025
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
WACV 2025
FedPIA β Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection
AAAI 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
ICCV 2025
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis
MICCAI 2024
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation
MIDL 2024
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
MICCAI 2024
Semi-Supervised Learning for Deep Causal Generative Models
MICCAI 2024
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
MIDL 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NeurIPS 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
NeurIPS 2019
Semi-Supervised Learning via Compact Latent Space Clustering
ICML 2018