H
Hamed Akbari
Researcher at University of Pennsylvania
Publications - 115
Citations - 4920
Hamed Akbari is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 24, co-authored 95 publications receiving 3326 citations. Previous affiliations of Hamed Akbari include Emory University & Georgia Institute of Technology.
Papers
More filters
Journal ArticleDOI
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas,Hamed Akbari,Aristeidis Sotiras,Michel Bilello,Martin Rozycki,Justin Kirby,John Freymann,Keyvan Farahani,Christos Davatzikos +8 more
TL;DR: This set of labels and features should enable direct utilization of the TCGA/TCIA glioma collections towards repeatable, reproducible and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments, as well as performance evaluation of computer-aided segmentation methods.
Journal ArticleDOI
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.
Luke Macyszyn,Hamed Akbari,Jared M. Pisapia,Xiao Da,Mark A. Attiah,Vadim Pigrish,Yingtao Bi,Sharmistha Pal,Ramana V. Davuluri,Laura Roccograndi,Nadia Dahmane,Maria Martinez-Lage,George Biros,Ronald L. Wolf,Michel Bilello,Donald M. O'Rourke,Christos Davatzikos +16 more
TL;DR: The results reveal that when imaging markers related to infiltration, cell density, microvascularity, and blood-brain barrier compromise are integrated via advanced pattern analysis methods, they form very accurate predictive biomarkers.
Journal ArticleDOI
Hyperspectral imaging and quantitative analysis for prostate cancer detection.
Hamed Akbari,Luma V. Halig,David M. Schuster,Adeboye O. Osunkoya,Viraj A. Master,Peter T. Nieh,Georgia Z. Chen,Baowei Fei,Baowei Fei +8 more
TL;DR: This imaging method may be able to help physicians to dissect malignant regions with a safe margin and to evaluate the tumor bed after resection and may lead to advances in the optical diagnosis of prostate cancer using HSI technology.
Journal ArticleDOI
Cancer detection using infrared hyperspectral imaging.
TL;DR: The advanced hyperspectral imaging system has been assessed using infrared wavelengths region for tumor detection, an appropriate wavelength region for cancer detection, spatially resolved images, and highlight the differences in reflectance properties of cancerous versus non‐cancerous tissues.
Journal ArticleDOI
Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights
TL;DR: 12 general-purpose registration algorithms are evaluated, for their generality, accuracy and robustness, and the performances in light of algorithms' similarity metrics, transformation models and optimization strategies are discussed.