An overview of deep learning methods for multimodal medical data mining. - Fatemeh Behrad; Mohammad Saniee Abadeh (Expert Syst. Appl., 2022)

Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction. - Fatemeh Behrad; Mohammad Saniee Abadeh (Expert Syst. Appl., 2023)

BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment. - Ombretta Strafforello; Gonzalo Muradas Odriozola; Fatemeh Behrad; Li-Wei Chen; Anne-Sofie Maerten; Derya Soydaner; Johan Wagemans (>ECCV Workshops (6), 2024)

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks. - Yuyan Zhang; Derya Soydaner; Fatemeh Behrad; Lisa Koßmann; Johan Wagemans (ESANN, 2024)

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks. - Yuyan Zhang; Derya Soydaner; Lisa Koßmann; Fatemeh Behrad; Johan Wagemans (CoRR, 2024)

Charm: The Missing Piece in ViT Fine-Tuning for Image Aesthetic Assessment. - Fatemeh Behrad; Tinne Tuytelaars; Johan Wagemans (CVPR, 2025)