most citedD-CryptO: Deep learning-based analysis of colon organoid morphology from brightfield images

64 citations · 66 across the 2 of their papers we have counts for

collaborators

6 papers

q-bio.QM202264 cited

D-CryptO: Deep learning-based analysis of colon organoid morphology from brightfield images

Lyan Abdul, Jocelyn Xu, Alexander Sotra +6

Stem cell-derived organoids are a promising tool to model native human tissues as they resemble human organs functionally and structurally compared to traditional monolayer cell-ba…

eess.IV20222 cited

Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images

Mehdi SadeghiBakhi, Hamidreza Pourreza, Hamidreza Mahyar

Objective: Multiple Sclerosis (MS) is an autoimmune, and demyelinating disease that leads to lesions in the central nervous system. This disease can be tracked and diagnosed using…

cs.LG2019

A Nonparametric Bayesian Model for Sparse Dynamic Multigraphs

Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu +2

As the availability and importance of temporal interaction data--such as email communication--increases, it becomes increasingly important to understand the underlying structure th…

cs.LG2019

A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things

Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar +1

The Social Internet of Things (SIoT), integration of the Internet of Things and Social Networks paradigms, has been introduced to build a network of smart nodes that are capable of…

cs.SI2019

Compressive Closeness in Networks

Hamidreza Mahyar, Rouzbeh Hasheminezhad, H Eugene Stanley

Distributed algorithms for network science applications are of great importance due to today's large real-world networks. In such algorithms, a node is allowed only to have local i…

cs.LG2019

Sequential Edge Clustering in Temporal Multigraphs

Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu +2

Interaction graphs, such as those recording emails between individuals or transactions between institutions, tend to be sparse yet structured, and often grow in an unbounded manner…