
Join to View Full Profile
600 N Wolfe StreetBaltimore, MD 21264
Phone+1 410-955-5000
Dr. Merenzon is on Doximity
As a Doximity member you'll join over two million verified healthcare professionals in a private, secure network.
- Gain access to free telehealth tools, such as our “call shielding” and one-way patient texting.
- Connect with colleagues in the same hospital or clinic.
- Read the latest clinical news, personalized to your specialty.
Summary
- Martin Merenzon, MD, is a healthcare professional based in Baltimore, MD. He is currently completing a Functional Neurosurgery Clinical Fellowship at Johns Hopkins Hospital, following an Epilepsy Surgery Fellowship at Yale University (2023-2024). Over the past two years, he has developed advanced expertise in both open and minimally invasive epilepsy surgery, neuromodulation (DBS, RNS, VNS), and robotic and stereotactic systems, including ROSA, Globus, and ClearPoint. He completed his medical education at the University of Buenos Aires. Dr. Merenzon has authored several publications, including research on new technologies applied for epilepsy and brain tumor treatment, metabolic signatures in gliomas, and the use of machine learning in brain tumor treatment. His work has been published in reputable journals such as Cancers, Journal of Neuro-Oncology, Neurosurgical Focus, Operative Neurosurgery, and Journal of Neurosurgery, with some of his studies cited multiple times by other publications.
Education & Training
- University of Buenos Aires
Certifications & Licensure
- CT State Medical License 2023 - 2024
Awards, Honors, & Recognition
- Epilepsy Fellow Award American Epilepsy Society, 2023
- International Observership Program CNS Foundation, 2022
Publications & Presentations
PubMed
- Temporal Dynamics and Clinical Predictors of Brain Metastasis in Breast Cancer: A Two-Decade Cohort Analysis Toward Tailored CNS Screening.Fernando Terry, Eduardo Orrego-Gonzalez, Alejandro Enríquez-Marulanda, Niels Pacheco-Barrios, Martin Merenzon
Cancers. 2025-03-11 - 3 citationsMetabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning.Cameron A Rivera, Shovan Bhatia, Alexis A Morell, Lekhaj C Daggubati, Martin A Merenzon
Journal of Neuro-Oncology. 2024-12-01 - Leveraging machine learning for preoperative prediction of supramaximal ablation in laser interstitial thermal therapy for brain tumors.Cameron A Rivera, Shovan Bhatia, Venkat Uppalapati, Chandler N Berke, Martin A Merenzon
Neurosurgical Focus. 2024-11-01
Viewing the full profile is available to verified healthcare professionals only.
Find your profile and take control of your online presence: