Mohammad Mehdi Farhangi
Mohammad Mehdi Farhangi
Unknown affiliation
Verified email at fda.hhs.gov
Title
Cited by
Cited by
Year
3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS)
MM Farhangi, H Frigui, A Seow, AA Amini
IEEE transactions on medical imaging 36 (11), 2239-2249, 2017
272017
Segmentation and tracking of lung nodules via graph‐cuts incorporating shape prior and motion from 4D CT
J Cha, MM Farhangi, N Dunlap, AA Amini
Medical physics 45 (1), 297-306, 2018
162018
Improvement the bag of words image representation using spatial information
MM Farhangi, M Soryani, M Fathy
Advances in Computing and Information Technology, 681-690, 2013
152013
Informative visual words construction to improve bag of words image representation
MM Farhangi, M Soryani, M Fathy
IET Image Processing 8 (5), 310-318, 2014
142014
Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation
MM Farhangi, H Frigui, R Bert, AA Amini
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
82016
4D lung tumor segmentation via shape prior and motion cues
J won Cha, MM Farhangi, N Dunlap, A Amini
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual …, 2016
72016
Volumetric analysis of respiratory gated whole lung and liver ct data with motion-constrained graph cuts segmentation
J won Cha, MM Farhangi, N Dunlap, A Amini
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
52017
Multiple instance learning for malignant vs. benign classification of lung nodules in thoracic screening ct data
W Safta, MM Farhangi, B Veasey, A Amini, H Frigui
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
42019
Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans
MM Farhangi, N Petrick, B Sahiner, H Frigui, AA Amini, A Pezeshk
Medical physics 47 (5), 2150-2160, 2020
22020
Lung nodule malignancy classification based on NLSTx Data
B Veasey, MM Farhangi, H Frigui, J Broadhead, M Dahle, A Pezeshk, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1870-1874, 2020
22020
Derivatives in graph space with applications for finding and tracking local communities
MA Rigi, I Moser, MM Farhangi
IEEE/ACM International conference on advances in social networks analysis …, 2017
12017
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN
Z Ghanian, A Badal, K Cha, MM Farhangi, N Petrick, B Sahiner
International Workshop on Machine Learning in Medical Imaging, 523-531, 2020
2020
System and method of automated segmentation of anatomical objects through learned examples
MM Farhangi, AA Amini, H Frigui
US Patent 10,733,737, 2020
2020
Finding and tracking local communities by approximating derivatives in networks
MA Rigi, I Moser, MM Farhangi, C Lui
World Wide Web 23 (3), 1519-1551, 2020
2020
Segmentation and classification of lung nodules from Thoracic CT scans: methods based on dictionary learning and deep convolutional neural networks.
MM Farhangi
2019
Improvement the bag of words image representation using spatial information
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Articles 1–16