Panagiotis Korfiatis
According to our database1,
Panagiotis Korfiatis
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images.
CoRR, 2024
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
J. Digit. Imaging, 2021
2019
J. Digit. Imaging, 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
J. Digit. Imaging, 2017
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
J. Digit. Imaging, 2017