Stergios Christodoulidis

Orcid: 0000-0002-8773-1070

According to our database1, Stergios Christodoulidis authored at least 51 papers between 2014 and 2026.

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Bibliography

2026
Medical Context Distorts Decisions in Clinical Vision Language Models.
CoRR, May, 2026

On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings.
CoRR, March, 2026

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization.
CoRR, March, 2026

BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation.
Int. J. Comput. Vis., February, 2026

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision.
CoRR, February, 2026

OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection.
CoRR, February, 2026

Class Adaptive Conformal Training.
CoRR, January, 2026

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning.
CoRR, January, 2026

Are foundation models for computer vision good conformal predictors?
Trans. Mach. Learn. Res., 2026

SGPMIL: Sparse Gaussian Process Multiple Instance Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning.
CoRR, December, 2025

CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning.
CoRR, December, 2025

CDG-MAE: Learning Correspondences from Diffusion Generated Views.
CoRR, June, 2025

THUNDER: Tile-level Histopathology image UNDERstanding benchmark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fairness and Robustness of CLIP-Based Models for Chest X-Rays.
Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI.
Proceedings of the AI for Clinical Applications - First International Workshops, 2025

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Full Conformal Adaptation of Medical Vision-Language Models.
Proceedings of the Information Processing in Medical Imaging, 2025

Controllable Latent Space Augmentation for Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation.
IEEE Access, 2024

Preface for International Conference on Medical Imaging with Deep Learning 2024.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Diffusion Models for Nuclei Segmentation in Low Data Regimes.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ViG-Bias: Visually Grounded Bias Discovery and Mitigation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
On the detection of Out-Of-Distribution samples in Multiple Instance Learning.
CoRR, 2023

Structured State Space Models for Multiple Instance Learning in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Artifact Removal in Histopathology Images.
CoRR, 2022

Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis.
Proceedings of the Machine Learning for Health, 2022

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Nuclei Segmentation Using Spatial Organization Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients.
IEEE Trans. Multim., 2021

Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning.
Remote. Sens., 2021

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.
Medical Image Anal., 2021

Exploring Deep Registration Latent Spaces.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.
Frontiers Comput. Neurosci., 2020

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.
CoRR, 2020

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.
IEEE J. Biomed. Health Informatics, 2019

Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries.
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Linear and Deformable Image Registration with 3D Convolutional Neural Networks.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.
IEEE J. Biomed. Health Informatics, 2017

Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.
IEEE Trans. Medical Imaging, 2016

Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis.
CoRR, 2016

2015
Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

2014
Classification of interstitial lung disease patterns using local DCT features and random forest.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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