activity
20122020
most citedModeling and Analysis of Abnormality Detection in Biomolecular Nano-Networks

19 citations · 37 across the 9 of their papers we have counts for

collaborators

10 papers

physics.med-ph2020

Non contrast Doppler Microvessel Image Reconstruction by a semi Nonrigid Motion Compensation and Localized Clutter Filtering; a Qualitative and Quantitative Evaluation

Saba Adabi, Siavash Ghavami, Mostafa Fatemi +1

Vascular networks can provide invaluable information about tumor angiogenesis. Ultrafast Doppler imaging enables ultrasound to image micro-vessels by applying tissue clutter filter…

physics.med-ph2018★ 1 cited

Quantification of Morphological Features in Non-Contrast Ultrasound Microvasculature Imaging

Siavash Ghavami, Mahdi Bayat, Mostafa Fatemi +1

Morphological features of small vessels provide invaluable information regarding underlying tissue, especially in cancerous tumors. This paper introduces methods for obtaining quan…

q-bio.NC2018

Neuronal Synchronization Can Control the Energy Efficiency of Inter-Spike Interval Coding

Siavash Ghavami, Vahid Rahmati, Farshad Lahouti +1

The role of synchronous firing in sensory coding and cognition remains controversial. While studies, focusing on its mechanistic consequences in attentional tasks, suggest that syn…

cs.IT2016

Abnormality Detection in Correlated Gaussian Molecular Nano-Networks: Design and Analysis

Siavash Ghavami, Farshad Lahouti

A nano abnormality detection scheme (NADS) in molecular nano-networks is studied. This is motivated by the fact that early detection of diseases such as cancer play a crucial role…

cs.IT2015★ 13 cited

Information Rates of ASK-Based Molecular Communication in Fluid Media

Siavash Ghavami, Raviraj Adve, Farshad Lahouti

This paper studies the capacity of molecular communications in fluid media, where the information is encoded in the number of transmitted molecules in a time-slot (amplitude shift…

cs.IT2015

Bounds on the Capacity of ASK Molecular Communication Channels with ISI

Siavash Ghavami, Raviraj Adve, Farshad Lahouti

There are now several works on the use of the additive inverse Gaussian noise (AIGN) model for the random transit time in molecular communication~(MC) channels. The randomness inva…

cs.IT2014

On Capacity and Capacity per Unit Cost of Gaussian Multiple Access Channel with Peak Power Constraints

Siavash Ghavami, Farshad Lahouti

This paper investigates the capacity and capacity per unit cost of Gaussian multiple access-channel (GMAC) with peak power constraints. We first devise an approach based on Blahut-…

cs.IT2014★ 4 cited

Synchrony in Neuronal Communications: An Energy Efficient Scheme

Siavash Ghavami, Vahid Rahmati, Farshad Lahouti +1

We are interested in understanding the neural correlates of attentional processes using first principles. Here we apply a recently developed first principles approach that uses tra…

q-bio.CB2013

Accounting for Randomness in Measurement and Sampling in Study of Cancer Cell Population Dynamics

Siavash Ghavami, Olaf Wolkenhauer, Farshad Lahouti +2

Studying the development of malignant tumours, it is important to know and predict the proportions of different cell types in tissue samples. Knowing the expected temporal evolutio…

cs.IT2012★ 19 cited

Modeling and Analysis of Abnormality Detection in Biomolecular Nano-Networks

Siavash Ghavami, Farshad Lahouti, Ali Masoudi-Nejad

A scheme for detection of abnormality in molecular nano-networks is proposed. This is motivated by the fact that early diagnosis, classification and detection of diseases such as c…