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Hamed Akbari, MD, PhD
Hamed Akbari, MD, PhD
在 scu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
27112017
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
8202017
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
3172015
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
3042012
Cancer detection using infrared hyperspectral imaging
H Akbari, K Uto, Y Kosugi, K Kojima, N Tanaka
Cancer science 102 (4), 852-857, 2011
2622011
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
2162018
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
2132010
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
1962014
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
1742018
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
1702018
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
1592016
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
1422018
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
1312014
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
1172018
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
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
107*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
1072014
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
992017
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ...
Scientific data 9 (1), 453, 2022
902022
Histopathologyvalidated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudoprogression in glioblastoma
H Akbari, S Rathore, S Bakas, MLP Nasrallah, G Shukla, E Mamourian, ...
Cancer 126 (11), 2625-2636, 2020
882020
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