14 citations · 18 across the 5 of their papers we have counts for
6 papers
Spatial Attention Supervision for Defect Localization: Exploiting Ground-Truth Masks as Training Signal in Diffusion-Augmented Defect Detection
Sajjad Rezvani Boroujeni, Muskan Saraf, Gnana Tulasi Makineni +2
Ground-truth defect masks in industrial inspection datasets are typically reserved for evaluation. This paper repurposes them as spatial supervision signals during training of clas…
Beyond Visualization: Building Decision Intelligence Through Iterative Dashboard Refinement
Likitha Tadakala, Muskan Saraf, Sajjad Rezvani Boroujeni +2
Effective business intelligence (BI) dashboards evolve through iterative refinement rather than single-pass design. Addressing the lack of structured improvement frameworks in BI p…
Advanced Deep Learning Techniques for Classifying Dental Conditions Using Panoramic X-Ray Images
Alireza Golkarieh, Kiana Kiashemshaki, Sajjad Rezvani Boroujeni
This study investigates deep learning methods for automated classification of dental conditions in panoramic X-ray images. A dataset of 1,512 radiographs with 11,137 expert-verifie…
Quantifying Label-Induced Bias in Large Language Model Self- and Cross-Evaluations
Muskan Saraf, Sajjad Rezvani Boroujeni, Justin Beaudry +2
Large language models (LLMs) are increasingly deployed as evaluators of text quality, yet the validity of their judgments remains underexplored. This study investigates systematic…
Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
Alireza Golkarieh, Kiana Kiashemshaki, Sajjad Rezvani Boroujeni +1
This study investigates the effectiveness of U-Net architectures integrated with various convolutional neural network (CNN) backbones for automated lung cancer detection and segmen…
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control
Sajjad Rezvani Boroujeni, Hossein Abedi, Tom Bush
Visual defect detection in industrial glass manufacturing remains a critical challenge due to the low frequency of defective products, leading to imbalanced datasets that limit the…