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Publications by Aaron Abajian
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Journal of Visualized Experiments
Immunology
Molecular Biology
Biochemistry
Microbiology
Chemical Engineering
Neuroscience
Genetics
Related publications
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data
Frontiers in Psychiatry
Psychiatry
Mental Health
Diffusion of Trans-Arterial Radioembolization for the Treatment of Intermediate-Advanced Hepatocellular Carcinoma in Italy: A Budget Impact Analysis
Value in Health
Medicine
Health Policy
Public Health
Occupational Health
Environmental
Image-Guided Minimally Invasive Treatment for Small Renal Cell Carcinoma
Insights into Imaging
Nuclear Medicine
Radiology
Imaging
Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma
American Journal of Gastroenterology
Hepatology
Gastroenterology
Transcatheter Arterial Chemoembolization Combined With Simultaneous DynaCT-guided Radiofrequency Ablation in the Treatment of Solitary Large Hepatocellular Carcinoma
Radiologia Medica
Medicine
Nuclear Medicine
Radiology
Imaging
Treatment Algorithms for Managing Hepatocellular Carcinoma
Journal of Clinical and Experimental Hepatology
Hepatology
Endoscopic Ultrasound (EUS)-guided Ethanol Injection for Hepatocellular Carcinoma Difficult to Treat With Percutaneous Local Treatment
Endoscopy
Gastroenterology
Metalearners for Estimating Heterogeneous Treatment Effects Using Machine Learning
Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
Multimodality Treatment With Conventional Transcatheter Arterial Chemoembolization and Radiofrequency Ablation for Unresectable Hepatocellular Carcinoma
Digestion
Gastroenterology
