Chaitanya Kolluru
Orcid: 0000-0002-3211-7794
According to our database1,
Chaitanya Kolluru
authored at least 12 papers
between 2018 and 2023.
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Bibliography
2023
Development of Face Recognition-Based Smart Door Lock System with Remote Servo Control Authentication.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography.
CoRR, 2022
CoRR, 2022
Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries.
CoRR, 2022
Automatic microchannel detection using deep learning in intravascular optical coherence tomography images.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
2021
Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation.
IEEE Access, 2021
Correction of metallic stent struts and guide wire shadows in intravascular optical coherence tomography images using conditional generative adversarial networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
2020
Segmentation of Coronary Calcified Plaque in Intravascular OCT Images Using a Two-Step Deep Learning Approach.
IEEE Access, 2020
Automatic A-line coronary plaque classification using combined deep learning and textural features in intravascular OCT images.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
Deep learning segmentation of coronary calcified plaque from intravascular optical coherence tomography (IVOCT) images with application to finite element modeling of stent deployment.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018