Ivan E. Coronado - Publications

Using Induction Chemoimmunotherapy as a Bridge to Definitive Local Therapy for Non-Metastatic NSCLC: Real-World Outcomes From a Comprehensive Cancer Center.

Journal: Clinical lung cancer

Published: June 05, 2026

Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks.

Journal: Scientific reports

Published: September 27, 2023

Foveal avascular zone segmentation using deep learning-driven image-level optimization and fundus photographs.

Journal: Proceedings. IEEE International Symposium on Biomedical Imaging

Published: September 14, 2023

Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks.

Journal: Scientific reports

Published: January 20, 2023

Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging.

Journal: Journal of clinical medicine

Published: October 21, 2022

Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 11, 2021

Deep learning enabled brain shunt valve identification using mobile phones.

Journal: Computer methods and programs in biomedicine

Published: March 09, 2021

Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: May 23, 2020

Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI.

Journal: Radiology

Published: December 18, 2019

Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.

Journal: Journal of magnetic resonance imaging : JMRI

Published: August 14, 2019

Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: June 14, 2019

Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning.

Journal: Magnetic resonance imaging

Published: June 13, 2019