98 citations · 190 across the 27 of their papers we have counts for
29 papers
ProtoCAM: Interpretable Few-Shot Mask-Guided Prototypical Learning for Breast Lesion Classification in Ultrasound Imaging
Ashkan Ebadi
Breast ultrasound imaging plays an important role in the early detection and diagnosis of breast cancer, particularly for patients with dense breast tissue. However, developing rel…
iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring
Dayou Mao, Yuchen Lin, Ashkan Ebadi +3
Automation in construction is essential for reducing costs and human errors in large-scale projects. We approach the construction progress monitoring from the aspect of detecting c…
Interpretable Link Prediction in AI-Driven Cancer Research: Uncovering Co-Authorship Patterns
Shahab Mosallaie, Andrea Schiffauerova, Ashkan Ebadi
Artificial intelligence (AI) is transforming cancer diagnosis and treatment. The intricate nature of this disease necessitates the collaboration of diverse stakeholders with varied…
An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection
Neel Patel, Alexander Wong, Ashkan Ebadi
Tuberculosis remains a critical global health issue, particularly in resource-limited and remote areas. Early detection is vital for treatment, yet the lack of skilled radiologists…
Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location
Shirin Tavakoli Kafiabad, Andrea Schiffauerova, Ashkan Ebadi
Optimizing national scientific investment requires a clear understanding of evolving research trends and the demographic and geographical forces shaping them, particularly in light…
WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling
Ashkan Ebadi, Alain Auger, Yvan Gauthier
The landscape of science and technology is characterized by its dynamic and evolving nature, constantly reshaped by new discoveries, innovations, and paradigm shifts. Moreover, sci…