Mutlu Demirer

Orcid: 0000-0002-6842-282X

According to our database1, Mutlu Demirer authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
Medical Image Anal., 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
CoRR, 2024

2023
Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management.
CoRR, 2023

Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
A multi-reconstruction study of breast density estimation using Deep Learning.
CoRR, 2022

Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use.
J. Digit. Imaging, 2021

Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest.
CoRR, 2021

2020
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.
IEEE J. Biomed. Health Informatics, 2020

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning.
J. Digit. Imaging, 2020

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.
Comput. Medical Imaging Graph., 2020

Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks.
CoRR, 2019

Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?
CoRR, 2019

2018
Radiology and Enterprise Medical Imaging Extensions (REMIX).
J. Digit. Imaging, 2018


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