most citedA Survey of Vectorization Methods in Topological Data Analysis

74 citations · 74 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

A Novel Patch-Based TDA Approach for Computed Tomography Imaging

Dashti A. Ali, Aras T. Asaad, Jacob J. Peoples +11

The development of machine learning models based on computed tomography (CT) imaging has been a major focus due to the promise that imaging holds for diagnosis, staging, and progno…

cs.CV2025

Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging

Dashti A. Ali, Richard K. G. Do, William R. Jarnagin +2

In medical image analysis, feature engineering plays an important role in the design and performance of machine learning models. Persistent homology (PH), from the field of topolog…

math.AT2022★ 74 cited

A Survey of Vectorization Methods in Topological Data Analysis

Dashti Ali, Aras Asaad, Maria-Jose Jimenez +3

Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several techniques for vectorizing persistent homology barcodes. In th…

cs.CV2022

Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics

Tahir Hassan, Aras Asaad, Dashti Ali +1

Advances in AI based computer vision has led to a significant growth in synthetic image generation and artificial image tampering with serious implications for unethical exploitati…

eess.IV2022

Persistent Homology for Breast Tumor Classification using Mammogram Scans

Aras Asaad, Dashti Ali, Taban Majeed +1

An Important tool in the field topological data analysis is known as persistent Homology (PH) which is used to encode abstract representation of the homology of data at different r…