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eess.IV2025
Deconver: A Deconvolutional Network for Medical Image Segmentation
Pooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht +4
While convolutional neural networks (CNNs) and vision transformers (ViTs) have advanced medical image segmentation, they face inherent limitations such as local receptive fields in…
eess.IV2025
Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht +3
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomp…