Mojtaba Sedigh Fazli

According to our database, Mojtaba Sedigh Fazli authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

IEEE J. Biomed. Health Informatics, September, 2023

2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

CoRR, 2022

A Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D Space.

Seyed Alireza Vaezi, Gianni Orlando, Mojtaba Sedigh Fazli, Gary E. Ward, Silvia N. J. Moreno, Shannon Quinn

Proceedings of the 21st Python in Science Conference 2022, 2022

2021

Classification of Diffuse Subcellular Morphologies.

Neelima Pulagam, Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

2020

OrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networks.

Mojtaba Sedigh Fazli, Marcus Hill, Andrew Durden, Rachel Mattson, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, Chakra Chennubhotla, Shannon Quinn

J. Open Source Softw., 2020

Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology.

Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories.

Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Dynamic Social Network Modeling of Diffuse Subcellular Morphologies.

Andrew Durden, Allyson T. Loy, Barbara Reaves, Mojtaba Sedigh Fazli, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 2018

Unsupervised discovery of toxoplasma gondii motility phenotypes.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Toward Simple & Scalable 3D Cell Tracking.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon P. Quinn

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn

CoRR, 2017

Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn

CoRR, 2017

2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Use HMM and KNN for classifying corneal data.

Payam Porkar Rezaeiye, Mehrnoosh Bazrafkan, Ali Akbar Movassagh, Mojtaba Sedigh Fazli, Gholam Hossein Bazyari

CoRR, 2014

2013

A comparative study on forecasting polyester chips prices for 15 days, using different hybrid intelligent systems.

Mojtaba Sedigh Fazli, Jean-Fabrice Lebraty

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013