Hamed Akbari
Santa Clara University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, MRI in cancer diagnosis, Brain Tumor Detection and Classification, Medical Image Segmentation Techniques
Most-Cited Works
- → Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features(2017)2,817 cited
- → Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques(2015)308 cited
- → Hyperspectral imaging and quantitative analysis for prostate cancer detection(2012)264 cited
- → Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome(2018)206 cited
- → Detection and Analysis of the Intestinal Ischemia Using Visible and Invisible Hyperspectral Imaging(2010)189 cited
- → Cancer detection using infrared hyperspectral imaging(2011)181 cited
- → Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights(2014)172 cited
- → Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development(2018)169 cited
- → The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics(2022)154 cited
- → Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1(2018)153 cited