Mohammad R. K. Mofrad

Orcid: 0000-0001-7004-4859

Affiliations:
  • University of California Berkeley, Departments of Bioengineering and Mechanical Engineering, CA, USA


According to our database1, Mohammad R. K. Mofrad authored at least 26 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.
BMC Medical Informatics Decis. Mak., December, 2024

2023
On the Sensitivity and Affinity of Gold, Silver, and Platinum Surfaces against the SARS-CoV-2 Virus: A Comparative Computational Study.
J. Chem. Inf. Model., February, 2023

GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations.
Bioinform., February, 2023

Beyond the Hype: Assessing the Performance, Trustworthiness, and Clinical Suitability of GPT3.5.
CoRR, 2023

2022
TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
EpitopeVec: linear epitope prediction using deep protein sequence embeddings.
Bioinform., 2021

2020
Quantification of human sperm concentration using machine learning-based spectrophotometry.
Comput. Biol. Medicine, 2020

UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks.
CoRR, 2019

UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages.
CoRR, 2019

DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection.
Bioinform., 2019

2018
Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease.
npj Digit. Medicine, 2018

Fast and accurate view classification of echocardiograms using deep learning.
npj Digit. Medicine, 2018

MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples.
Bioinform., 2018

2017
Fast and accurate classification of echocardiograms using deep learning.
CoRR, 2017

2016
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance.
CoRR, 2016

Text Analysis and Automatic Triage of Posts in a Mental Health Forum.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

2015
ProtVec: A Continuous Distributed Representation of Biological Sequences.
CoRR, 2015

A New Approach for Scalable Analysis of Microbial Communities.
CoRR, 2015

2013
Localized Lipid Packing of Transmembrane Domains Impedes Integrin Clustering.
PLoS Comput. Biol., 2013

The Interaction of Vinculin with Actin.
PLoS Comput. Biol., 2013

An agent based model of integrin clustering: Exploring the role of ligand clustering, integrin homo-oligomerization, integrin-ligand affinity, membrane crowdedness and ligand mobility.
J. Comput. Phys., 2013

2011
Brownian Dynamics Simulation of Nucleocytoplasmic Transport: A Coarse-Grained Model for the Functional State of the Nuclear Pore Complex.
PLoS Comput. Biol., 2011

2009
Molecular Mechanics of the α-Actinin Rod Domain: Bending, Torsional, and Extensional Behavior.
PLoS Comput. Biol., 2009

2006
Non-rigid registration for fusion of carotid vascular ultrasound and MRI volumetric datasets.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

A novel framework for elastography and modulus estimation: integration of tissue mechanics with imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006


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