Follow
Hamed Akbari, MD, PhD
Hamed Akbari, MD, PhD
Verified email at scu.edu
Title
Cited by
Cited by
Year
Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, JS Kirby, JB Freymann, ...
Scientific data 4 (1), 1-13, 2017
24192017
Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ...
The Cancer Imaging Archive, https://doi.org/10.7937/K9/TCIA.2017.GJQ7R0EF …, 2017
7342017
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
L Macyszyn, H Akbari, JM Pisapia, X Da, M Attiah, V Pigrish, Y Bi, S Pal, ...
Neuro-oncology 18 (3), 417-425, 2015
3092015
Hyperspectral imaging and quantitative analysis for prostate cancer detection
H Akbari, LV Halig, DM Schuster, A Osunkoya, V Master, PT Nieh, ...
Journal of biomedical optics 17 (7), 076005-076005, 2012
2972012
Cancer detection using infrared hyperspectral imaging
H Akbari, K Uto, Y Kosugi, K Kojima, N Tanaka
Cancer science 102 (4), 852-857, 2011
2492011
Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging
H Akbari, Y Kosugi, K Kojima, N Tanaka
IEEE Transactions on Biomedical Engineering 57 (8), 2011-2017, 2010
2052010
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ...
Journal of medical imaging 5 (1), 011018-011018, 2018
1912018
Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights
Y Ou, H Akbari, M Bilello, X Da, C Davatzikos
Medical Imaging, IEEE Transactions on 33 (10), 2039-2065, 2014
1882014
Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
S Rathore, H Akbari, M Rozycki, KG Abdullah, MLP Nasrallah, ZA Binder, ...
Scientific reports 8 (1), 5087, 2018
1702018
Epidermal growth factor receptor extracellular domain mutations in glioblastoma present opportunities for clinical imaging and therapeutic development
ZA Binder, AH Thorne, S Bakas, EP Wileyto, M Bilello, H Akbari, ...
Cancer cell 34 (1), 163-177. e7, 2018
1612018
Imaging surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma
H Akbari, L Macyszyn, X Da, M Bilello, RL Wolf, M Martinez-Lage, G Biros, ...
Neurosurgery 78 (4), 572-580, 2016
1502016
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning
S Rathore, H Akbari, J Doshi, G Shukla, M Rozycki, M Bilello, R Lustig, ...
Journal of Medical Imaging 5 (2), 021219-021219, 2018
1312018
Combining generative models for multifocal glioma segmentation and registration
D Kwon, RT Shinohara, H Akbari, C Davatzikos
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
1272014
GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
BrainLes 2015, 144-155, 2015
1152015
In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature
H Akbari, S Bakas, JM Pisapia, MLP Nasrallah, M Rozycki, ...
Neuro-oncology 20 (8), 1068-1079, 2018
1092018
Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ...
The Cancer Imaging Archive, https://doi.org/10.7937/K9/TCIA.2017.KLXWJJ1Q 9 …, 2017
105*2017
Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity
H Akbari, L Macyszyn, X Da, RL Wolf, M Bilello, R Verma, DM O’Rourke, ...
Radiology 273 (2), 502-510, 2014
1022014
In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The ϕ-Index
S Bakas, H Akbari, J Pisapia, M Martinez-Lage, M Rozycki, S Rathore, ...
Clinical Cancer Research 23 (16), 4724-4734, 2017
942017
Detection of cancer metastasis using a novel macroscopic hyperspectral method
H Akbari, LV Halig, H Zhang, D Wang, ZG Chen, B Fei
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and …, 2012
842012
Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection. The cancer imaging archive
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ...
Nat. Sci. Data 4 (170117), 10.1038, 2017
822017
The system can't perform the operation now. Try again later.
Articles 1–20