Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine Learning
F Ahmed, B Nuwagira, F Torlak… - Proceedings of the …, 2023 - openaccess.thecvf.com
Examination of chest X-ray images is currently one of the most important methods for the
screening and diagnosis of thoracic diseases and, in some cases, for assessing response to …
screening and diagnosis of thoracic diseases and, in some cases, for assessing response to …
ToDD: Topological compound fingerprinting in computer-aided drug discovery
In computer-aided drug discovery (CADD), virtual screening (VS) is used for comparing a
library of compounds against known active ligands to identify the drug candidates that are …
library of compounds against known active ligands to identify the drug candidates that are …
Topology-Aware Focal Loss for 3D Image Segmentation
The efficacy of segmentation algorithms is frequently compromised by topological errors like
overlapping regions, disrupted connections, and voids. To tackle this problem, we introduce …
overlapping regions, disrupted connections, and voids. To tackle this problem, we introduce …
Histopathological Cancer Detection with Topological Signatures
We present a transformative approach to histopathological cancer detection and grading by
introducing a very powerful feature extraction method based on the latest topological data …
introducing a very powerful feature extraction method based on the latest topological data …
Topo-Net: Retinal Image Analysis with Topological Deep Learning
F Ahmed, B Coskunuzer - medRxiv, 2024 - medrxiv.org
The analysis of fundus images for the early screening of eye diseases is of great clinical
importance. Traditional methods for such analysis are time-consuming and expensive as …
importance. Traditional methods for such analysis are time-consuming and expensive as …
Breast Cancer Detection with Topological Machine Learning
Screening for breast cancer using mammograms and ultrasound images is an essential but
time-consuming and expensive process that requires a trained clinician's interpretation. To …
time-consuming and expensive process that requires a trained clinician's interpretation. To …
Topological Machine Learning in Medical Image Analysis
F Ahmed - 2023 - utd-ir.tdl.org
Medical image analysis is a critical component of modern healthcare, aiding in the detection,
diagnosis, and treatment of various diseases. In recent years, the fusion of topological data …
diagnosis, and treatment of various diseases. In recent years, the fusion of topological data …
Topo-Net: Retinal Image Analysis with Topological Deep Learning
B Coskunuzer, F Ahmed - Available at SSRN 4725148 - papers.ssrn.com
The analysis of fundus images for the early screening of eye diseases is of great clinical
importance. Traditional methods for such analysis are time-consuming and expensive as …
importance. Traditional methods for such analysis are time-consuming and expensive as …