Alexandros Karargyris

Orcid: 0000-0002-1930-3410

According to our database1, Alexandros Karargyris authored at least 54 papers between 2008 and 2023.

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Bibliography

2023
Dissecting self-supervised learning methods for surgical computer vision.
Medical Image Anal., August, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.
IEEE Trans. Medical Imaging, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases.
CoRR, 2022

Self-supervised learning via cluster distance prediction for operating room context awareness.
Int. J. Comput. Assist. Radiol. Surg., 2022


2021
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
npj Digit. Medicine, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021

Self-training with improved regularization for sample-efficient chest x-ray classification.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR, 2020

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.
CoRR, 2020

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Quality controlled segmentation to aid disease detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Towards Visual Dialog for Radiology.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019
Deep Endoscopic Visual Measurements.
IEEE J. Biomed. Health Informatics, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019

Visual Dialog for Radiology: Data Curation and FirstSteps.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Artificial intelligence for point of care radiograph quality assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Age prediction using a large chest x-ray dataset.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.
J. Medical Syst., 2018

Chest x-ray generation and data augmentation for cardiovascular abnormality classification.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Universal multi-modal deep network for classification and segmentation of medical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities.
IEEE Trans. Biomed. Eng., 2015

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control.
Int. J. Pattern Recognit. Artif. Intell., 2015

Color Space Transformation Network.
CoRR, 2015

2014
Automatic Tuberculosis Screening Using Chest Radiographs.
IEEE Trans. Medical Imaging, 2014

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration.
IEEE Trans. Medical Imaging, 2014

Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012
Automatic Detection of Similarities and Differences between Small bowel Polyps and Ulcers with a Data Mining Approach in Wireless Capsule Endoscopy Videos.
Int. J. Artif. Intell. Tools, 2012

DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Detecting tuberculosis in radiographs using combined lung masks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation.
IEEE Trans. Medical Imaging, 2011

Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos.
IEEE Trans. Biomed. Eng., 2011

Segmenting anatomy in chest x-rays for tuberculosis screening.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Identification of Ulcers in Wireless Capsule Endoscopy Videos.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008


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