Panagiotis Korfiatis

According to our database1, Panagiotis Korfiatis authored at least 15 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
J. Digit. Imaging, August, 2023

Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization.
CoRR, 2023

AI in the Loop - Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines.
CoRR, 2023

A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning.
CoRR, 2022

2021
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.
J. Digit. Imaging, 2021

AI Integration in the Clinical Workflow.
J. Digit. Imaging, 2021

2019
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
J. Digit. Imaging, 2019

High Resolution Medical Image Analysis with Spatial Partitioning.
CoRR, 2019

Interactive segmentation of medical images through fully convolutional neural networks.
CoRR, 2019

2018
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
J. Digit. Imaging, 2018

Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.
J. Digit. Imaging, 2017

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
J. Digit. Imaging, 2017

Toolkits and Libraries for Deep Learning.
J. Digit. Imaging, 2017


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