activity
20202025
most citedSinGAN-Seg: Synthetic training data generation for medical image segmentation

126 citations · 160 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications

Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita +2

Dynamic facial emotion is essential for believable AI-generated avatars, yet most systems remain visually static, limiting their use in simulations like virtual training for invest…

cs.SD2024

Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis

Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita +5

This paper examines the integration of real-time talking-head generation for interviewer training, focusing on overcoming challenges in Audio Feature Extraction (AFE), which often…

eess.IV2021★ 126 cited

SinGAN-Seg: Synthetic training data generation for medical image segmentation

Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal +6

Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Artificial…

cs.CV2020★ 33 cited

Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments

Pegah Salehi, Abdolah Chalechale, Maryam Taghizadeh

One of the most significant challenges in statistical signal processing and machine learning is how to obtain a generative model that can produce samples of large-scale data distri…

eess.IV2020★ 1 cited

Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis

Pegah Salehi, Abdolah Chalechale

The diagnosis of cancer is mainly performed by visual analysis of the pathologists, through examining the morphology of the tissue slices and the spatial arrangement of the cells.…