Sergios Gatidis

Orcid: 0000-0002-6928-4967

According to our database1, Sergios Gatidis authored at least 46 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries.
CoRR, 2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.
CoRR, 2024


2023
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations.
Comput. Medical Imaging Graph., March, 2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.
CoRR, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR, 2023

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing.
IEEE Access, 2023

2022
Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI.
CoRR, 2022

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort.
Comput. Methods Programs Biomed., 2022

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision.
IEEE Access, 2022

Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2021

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation.
IEEE Trans. Medical Imaging, 2021

Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation.
npj Digit. Medicine, 2021

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.
Comput. Medical Imaging Graph., 2021

Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Uncertainty-Guided Progressive GANs for Medical Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

Uncertainty-Based Biological Age Estimation of Brain MRI Scans.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation.
CoRR, 2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.
CoRR, 2020

MedGAN: Medical image translation using GANs.
Comput. Medical Imaging Graph., 2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging.
Proceedings of the IEEE International Conference on Image Processing, 2020

Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging.
Proceedings of the 28th European Signal Processing Conference, 2020

Organ-Based Chronological Age Estimation Based on 3D MRI Scans.
Proceedings of the 28th European Signal Processing Conference, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities.
CoRR, 2019

Organ-based Age Estimation based on 3D MRI Scans.
CoRR, 2019

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Adversarial Inpainting of Medical Image Modalities.
Proceedings of the IEEE International Conference on Acoustics, 2019

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks.
Proceedings of the 27th European Signal Processing Conference, 2019

Unsupervised Medical Image Translation Using Cycle-MedGAN.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A Machine-learning framework for automatic reference-free quality assessment in MRI.
CoRR, 2018

MedGAN: Medical Image Translation using GANs.
CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.
Int. J. Comput. Assist. Radiol. Surg., 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.
Proceedings of the Shape in Medical Imaging, 2018

Semantic Organ Segmentation in 3D Whole-Body MR Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automated Detection of High FDG Uptake Regions in CT Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
MR-based respiratory and cardiac motion correction for PET imaging.
Medical Image Anal., 2017

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo.
IEEE Trans. Medical Imaging, 2016

Active learning for magnetic resonance image quality assessment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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