A fast and yet efficient YOLOv3 for blood cell detection. - Ashkan Shakarami; Mohammad Bagher Menhaj; Ali Mahdavi-Hormat; Hadis Tarrah (Biomed. Signal Process. Control., 2021)

A new method for image classification and image retrieval using convolutional neural networks. - Davar Giveki; Ashkan Shakarami; Hadis Tarrah; Mohammad Ali Soltanshahi (Concurr. Comput. Pract. Exp., 2022)

TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images. - Ashkan Shakarami; Lorenzo Nicolè; Matteo Terreran; Angelo Paolo Dei Tos; Stefano Ghidoni (Biomed. Signal Process. Control., 2023)

VeLU: Variance-enhanced Learning Unit for Deep Neural Networks. - Ashkan Shakarami; Yousef Yeganeh; Azade Farshad; Lorenzo Nicolè; Stefano Ghidoni; Nassir Navab (CoRR, 2025)

DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology. - Ashkan Shakarami; Lorenzo Nicolè; Rocco Cappellesso; Angelo Paolo Dei Tos; Stefano Ghidoni (CoRR, 2025)

Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation. - Ashkan Shakarami; Azade Farshad; Yousef Yeganeh; Lorenzo Nicolè; Peter J. Schüffler; Stefano Ghidoni; Nassir Navab (CoRR, 2025)

Stress-Aware Resilient Neural Training. - Ashkan Shakarami; Yousef Yeganeh; Azade Farshad; Lorenzo Nicolè; Stefano Ghidoni; Nassir Navab (CoRR, 2025)