Max L. Olender

Orcid: 0000-0002-0936-5300

According to our database1, Max L. Olender authored at least 10 papers between 2017 and 2022.

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

Timeline

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Bibliography

2022
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions.
Comput. Medical Imaging Graph., 2022

2021
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging.
IEEE J. Sel. Top. Signal Process., 2020

Detailed Investigation of Lumen-Based Tomographic Co-Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Mechanical Approach for Smooth Surface Fitting to Delineate Vessel Walls in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2019

A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Neural Network Training Data Profoundly Impacts Texture-Based Intravascular Image Segmentation.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Simultaneous Multi-Surface Fitting for Vessel Wall Layer Delineation.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017
Estimating the internal elastic membrane cross-sectional area of coronary arteries autonomously using optical coherence tomography images.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017


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