Nikitha Murali

Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept

Aaron Abajian, Nikitha Murali, Lynn Jeanette Savic et al. · Journal of Vascular and Interventional Radiology · 2018 · 167 citations

Biomedical Artificial Intelligence, Artificial Intelligence, Engineering +10

Right Atrial and Massive Pulmonary Artery Mechanical Thrombectomy Under Echocardiography Guidance Using the FlowTriever System

Nariman Nezami, Igor Latich, Nikitha Murali et al. · EJVES Short Reports · 2019 · 28 citations · Full text

Supervised Machine Learning in Oncology: A Clinician's Guide

Nikitha Murali, Ahmet S. Kücükkaya, Alexandra Petukhova et al. · Digestive Disease Interventions · 2020 · 26 citations · Full text

Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer

Sophie Stark, Clinton Wang, Lynn Jeanette Savic et al. · Scientific Reports · 2020 · 16 citations · Full text

Conventional vs. Drug-Eluting Beads Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma—A Propensity Score Weighted Comparison of Efficacy and Safety

Lynn Jeanette Savic, Evan M. Chen, Nariman Nezami et al. · Cancers · 2022 · 15 citations · Full text