User profiles for Mohammad Mahdi Behzadi

MohammadMahdi Behzadi

PhD candidate, University of Connecticut
Verified email at uconn.edu
Cited by 163

Gantl: Toward practical and real-time topology optimization with conditional generative adversarial networks and transfer learning

MM Behzadi, HT Ilieş - Journal of Mechanical …, 2022 - asmedigitalcollection.asme.org
A number of machine learning methods have been recently proposed to circumvent the high
computational cost of the gradient-based topology optimization solvers. By and large, these …

Real-time topology optimization in 3d via deep transfer learning

MM Behzadi, HT Ilieş - Computer-Aided Design, 2021 - Elsevier
The published literature on topology optimization has exploded over the last two decades to
include methods that use shape and topological derivatives or evolutionary algorithms …

The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review

M Madani, MM Behzadi, S Nabavi - Cancers, 2022 - mdpi.com
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

Closed-loop brain machine interface system for in-vehicle function controls using head-up display and deep learning algorithm

HH Shishavan, MM Behzadi, DJ Lohan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Mohammad Mahdi Behzadi is with the Department of Mechanical Engineering and Computer
Mohammad Mahdi Behzadi received the B.Sc. degree in mechanical engineering from the …

Weakly-supervised deep learning model for prostate cancer diagnosis and gleason grading of histopathology images

MM Behzadi, M Madani, H Wang, J Bai… - … Signal Processing and …, 2024 - Elsevier
Prostate cancer is the most common cancer in men worldwide and the second leading cause
of cancer death in the United States. One of the prognostic features in prostate cancer is …

Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs

MM Behzadi, J Chen, HT Ilies - Computer-Aided Design, 2024 - Elsevier
Despite the remarkable advancements in machine learning (ML) techniques for topology
optimization, the predicted solutions often overlook the necessary structural connectivity …

[HTML][HTML] Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function

M Madani, MM Behzadi, D Song, HT Ilies… - Computational and …, 2022 - Elsevier
Protein contact maps represent spatial pairwise inter-residue interactions, providing a protein's
translationally and rotationally invariant topological representation. Accurate contact map …

On the Connectedness of the Topology Optimization Predictors

MM Behzadi, HT Ilies - … Technical Conferences and …, 2023 - asmedigitalcollection.asme.org
Deep learning-based topology optimization predictors have been shown to be effective in
generating optimal designs. However, these predictors are prone to topological errors, …

CGAN-Cmap: protein contact map prediction using deep generative adversarial neural networks

M Madani, MM Behzadi, D Song, H Ilies, A Tarakanova - bioRxiv, 2022 - biorxiv.org
Protein contact maps represent spatial pairwise inter-residue interactions, providing a protein’s
translationally and rotationally invariant topological representation. Accurate contact map …

[HTML][HTML] Relationship between the serum levels of Vitamin D and inflammatory markers in ESRD patients

…, AN Tahami, SA Mahdi, M Behzadi… - Acta Bio Medica …, 2020 - ncbi.nlm.nih.gov
Methods: This study was done by cross-sectional method on 85 ESRD patients receiving
renal replacement therapy (RRT), from one geographical area. 64 patients on HD and 21 …