Ziba Gandomkar
TitleCited byYear
Computer-based image analysis in breast pathology
Z Gandomkar, PC Brennan, C Mello-Thoms
Journal of pathology informatics 7, 2016
202016
Radiologists can detect the ‘gist’of breast cancer before any overt signs of cancer appear
PC Brennan, Z Gandomkar, EU Ekpo, K Tapia, PD Trieu, SJ Lewis, ...
Scientific reports 8 (1), 8717, 2018
112018
Clustering-based optimal sizing and siting of photovoltaic power plant in distribution network
N Haghdadi, B Asaei, Z Gandomkar
2012 11th International Conference on Environment and Electrical Engineering …, 2012
112012
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks
Z Gandomkar, PC Brennan, C Mello-Thoms
Artificial intelligence in medicine 88, 14-24, 2018
102018
iCAP: An individualized model combining gaze parameters and image-based features to predict radiologists’ decisions while Reading mammograms
Z Gandomkar, K Tay, W Ryder, PC Brennan, C Mello-Thoms
IEEE transactions on medical imaging 36 (5), 1066-1075, 2016
92016
Hippocampal shape analysis in the Laplace Beltrami feature space for temporal lobe epilepsy diagnosis and lateralization
R Shishegar, Z Gandomkar, H Soltaman-Zadeh, SR Moghadasi
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 150-153, 2012
82012
A model based on temporal dynamics of fixations for distinguishing expert radiologists' scanpaths
Z Gandomkar, K Tay, PC Brennan, C Mello-Thoms
Medical Imaging 2017: Image Perception, Observer Performance, and Technology …, 2017
72017
iDensity: an automatic Gabor filter-based algorithm for breast density assessment
Z Gamdonkar, K Tay, W Ryder, PC Brennan, C Mello-Thoms
Medical Imaging 2015: Image Perception, Observer Performance, and Technology …, 2015
62015
Determining image processing features describing the appearance of challenging mitotic figures and miscounted nonmitotic objects
Z Gandomkar, PC Brennan, C Mello-Thoms
Journal of pathology informatics 8, 2017
52017
Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features
Z Gandomkar, K Tay, W Ryder, PC Brennan, C Mello-Thoms
Medical Imaging 2016: Image Perception, Observer Performance, and Technology …, 2016
52016
A clustering-based preprocessing on feeder power in presence of photovoltaic power plant
N Haghdadi, B Asaei, Z Gandomkar
2011 10th International Conference on Environment and Electrical Engineering …, 2011
52011
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer
Z Gandomkar, EU Ekpo, SJ Lewis, KK Evans, K Tapia, PD Trieu, JM Wolfe, ...
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 1071804, 2018
42018
Recurrence quantification analysis of radiologists' scanpaths when interpreting mammograms
Z Gandomkar, K Tay, PC Brennan, C Mello‐Thoms
Medical physics 45 (7), 3052-3062, 2018
42018
Can eye‐tracking metrics be used to better pair radiologists in a mammogram reading task?
Z Gandomkar, K Tay, PC Brennan, E Kozuch, C Mello‐Thoms
Medical physics 45 (11), 4844-4856, 2018
32018
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks
Z Gandomkar, PC Brennan, C Mello-Thoms
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 107180U, 2018
32018
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading
Z Gandomkar, PC Brennan, C Mello-Thoms
Medical Imaging 2018: Image Perception, Observer Performance, and Technology …, 2018
32018
Proposing a new set of features based on frieze pattern to discriminate normal and abnormal gait
Z Gandomkar, F Bahrami
2012 19th Iranian Conference of Biomedical Engineering (ICBME), 354-359, 2012
32012
Determining local and contextual features describing appearance of difficult to identify mitotic figures
Z Gandomkar, PC Brennan, C Mello-Thoms
Medical Imaging 2017: Digital Pathology 10140, 1014002, 2017
22017
Method to classify elderly subjects as fallers and non-fallers based on gait energy image
Z Gandomkar, F Bahrami
Healthcare technology letters 1 (3), 110-114, 2014
22014
Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?
Z Gandomkar, EU Ekpo, SJ Lewis, KK Evans, KA Tapia, PD Trieu, ...
Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019
12019
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