Konstantinos Kamnitsas
13 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (26)
π
Conference Polyglot
(8)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π
Keyword Champion
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Conference Pioneer
π
Century Club
(13)
β‘
Prolific Year
(5)
Conferences
MICCAI (3)
AAAI (2)
MIDL (2)
NIPS (2)
CVPR (1)
ICCV (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
federated learning
(4)
probabilistic model
(2)
parameter-efficient fine-tuning
(2)
medical image segmentation
(2)
image segmentation
(2)
semi-supervised learning
(2)
vision-language model
(2)
domain generalization
(1)
knowledge distillation
(1)
probabilistic modeling
(1)
medical imaging
(1)
multimodal learning
(1)
multi-modal learning
(1)
uncertainty quantification
(1)
disease detection
(1)
label propagation
(1)
graph regularization
(1)
human feedback
(1)
inductive inference
(1)
domain adaptation
(1)
Papers
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
ICCV 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
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
CVPR 2025
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
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis
MICCAI 2024
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NIPS 2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
MIDL 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
NIPS 2019
Semi-Supervised Learning via Compact Latent Space Clustering
ICML 2018