most citedA Learnable Despeckling Framework for Optical Coherence Tomography Images

54 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2018

Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach

Elaheh Rashedi, Abdolreza Mirzaei

Recent studies show that ensemble methods enhance the stability and robustness of unsupervised learning. These approaches are successfully utilized to construct multiple clustering…

cs.LG2018★ 7 cited

A Novel Multi-clustering Method for Hierarchical Clusterings, Based on Boosting

Elaheh Rashedi, Abdolreza Mirzaei

Bagging and boosting are proved to be the best methods of building multiple classifiers in classification combination problems. In the area of "flat clustering" problems, it is als…

cs.CV2018★ 4 cited

Long-term face tracking in the wild using deep learning

Kunlei Zhang, Elaheh Rashedi, Elaheh Barati +1

This paper investigates long-term face tracking of a specific person given his/her face image in a single frame as a query in a video stream. Through taking advantage of pre-traine…

physics.med-ph2017★ 54 cited

A Learnable Despeckling Framework for Optical Coherence Tomography Images

Saba Adabi, Elaheh Rashedi, Hamed Mohebbi +3

Optical coherence tomography (OCT) is a prevalent, interferometric, high-resolution imaging method with broad biomedical applications. Nonetheless, OCT images suffer from an artifa…

cs.CV2017

An Adaptive Cluster-based Filtering Framework for Speckle Reduction of OCT Skin Images

Elaheh Rashedi, Saba Adabi, Darius Mehregan +2

Optical coherence tomography (OCT) has become a favorable device in the Dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain a gr…