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Olmo Zavala‐Romero

Florida State University · US
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Area of research
Oceanography · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Oceanographic and Atmospheric Processes, Radiomics and Machine Learning in Medical Imaging, Prostate Cancer Diagnosis and Treatment, and Reservoir Engineering and Simulation Methods.
h-index
7
citations
432
works
48
NIH funding
primary concept
email

Recent publications

Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico
Ocean science 2025cited by 6position: firstdoi
Identifying and Predicting the Lagrangian Coherence of Eddies in the Gulf of Mexico Using Machine Learning and Satellite Observations
Journal of Geophysical Research Machine Learning and Computation 2025cited by 1position: middledoi
Seasonality of Marine Litter Hotspots in the Wider Caribbean Region
Journal of Marine Science and Engineering 2024cited by 10position: lastdoi
The K‐Profile Parameterization Augmented by Deep Neural Networks (KPP_DNN) in the General Ocean Turbulence Model (GOTM)
Journal of Advances in Modeling Earth Systems 2024cited by 7position: middledoi
Operational ozone forecasting system in Mexico City: A machine learning framework integrating forecasted weather and historical ozone data
Atmospheric Environment 2024cited by 6position: firstdoi
Tracking Loop Current Eddies in the Gulf of Mexico Using Satellite-Derived Chlorophyll-a
Remote Sensing 2024cited by 5position: lastdoi
Imaging the dynamics of murine uterine contractions in early pregnancy
Biology of Reproduction 2024cited by 4position: middledoi
The K-profile Parameterization augmented by Deep Neural Networks (KPP_DNN) in the General Ocean Turbulence Model (GOTM)
2024cited by 1position: middledoi
Imaging the dynamics of uterine contractions in early pregnancy
bioRxiv (Cold Spring Harbor Laboratory) 2023cited by 1position: middledoi
Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer
Frontiers in Oncology 2022cited by 27position: middledoi
Tracking Marine Litter With a Global Ocean Model: Where Does It Go? Where Does It Come From?
Frontiers in Marine Science 2021cited by 168position: lastdoi
A Deep Learning Approach for Automated Volume Delineation on Daily MRI Scans in Glioblastoma Patients
International Journal of Radiation Oncology*Biology*Physics 2021cited by 3position: middledoi
Segmentation of prostate and prostate zones using deep learning
Strahlentherapie und Onkologie 2020cited by 49position: firstdoi
A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI
Diagnostics 2020cited by 27position: middledoi
Deep Learning Approach for Multi-Reference Tissue Normalization on T2-weighted MRI in Longitudinal Dataset from Prospective Radiotherapy Trial for Prostate Cancer
International Journal of Radiation Oncology*Biology*Physics 2020cited by 2position: middledoi
Classification of suspicious lesions on prostate multiparametric MRI using machine learning
Journal of Medical Imaging 2018cited by 39position: middledoi
Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization
2018cited by 6position: firstdoi
Personal Sensors and In Situ Interviews to Assess Pollution Exposure in a Busy Intersection of Mexico City
ISEE Conference Abstracts 2018cited by 0position: lastdoi
Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2016cited by 3position: middledoi
OWGIS 2.0
2014cited by 6position: firstdoi
A New Method for the Analysis of Soft Tissues with Data Acquired under Field Conditions
PLoS ONE 2013cited by 2position: middledoi
Multiplatform GPGPU implementation of the active contours without edges algorithm
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2012cited by 4position: firstdoi
Computer-aided diagnosis of small lesions and non-masses in breast MRI
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2012cited by 2position: middledoi
Spatio-temporal feature extraction for differentiation of non-mass-enhancing lesions in breast MRI
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2012cited by 1position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Eric P. Chassignet · Florida State University7 papers (2014–2025)Radka Stoyanova · University of Miami6 papers (2018–2022)Anke Meyer‐Baese · University of Regensburg6 papers (2012–2018)Adrian Breto · University of Miami5 papers (2018–2022)Isaac Xu · Dalhousie University3 papers (2020–2022)John C. Ford · University of Miami3 papers (2018–2022)Alan Pollack · University of Miami3 papers (2018–2020)Alan Dal Pra · University of Miami2 papers (2020–2020) · 2 papers (2023–2024) · 2 papers (2023–2024)Dat Ngo · Florida State University2 papers (2012–2012)Lisa Zou · University of Rochester Medical Center2 papers (2023–2024)Xiaoliang Wan · Florida State University2 papers (2024–2024) · 2 papers (2014–2024)Jun‐Hong Liang · Florida State University2 papers (2024–2024)Diana Flores · Michigan State University2 papers (2023–2024)Philippe Miron · Florida State University2 papers (2024–2025)Maribel Lockwood · Florida State University2 papers (2012–2012)Luna Hiron · Florida State University2 papers (2024–2025) · 2 papers (2012–2018)
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