Stergios Christodoulidis

Orcid: 0000-0002-8773-1070

According to our database1, Stergios Christodoulidis authored at least 30 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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


  Loading...