Name: Mahdi S. Hosseini
Type: User
Bio: My research interests cover theoretical advancement in Machine Learning and Computer Vision algorithms with focused applications in Computational Pathology.
Twitter: MahdiSHosseini2
Location: Toronto, Canada
Blog: https://scholar.google.com/citations?user=SO-FFrgAAAAJ&hl=en
Mahdi S. Hosseini's Projects
Natural Image Deconvolution [IEEE TIP 2019]
Atlas of Digital Pathology for Deep Learning [CVPR2019]
Channel Optimization for Convolutional Neural Networks [ICCV2021]
Efficient Auto-Channel Size Optimization for CNNs [ICMLA2021]
Probeable DARTS with Application to Computational Pathology [ICCV2021]
Lightweight DARTS Architecture for Focus Quality Assessment (FQA) in Digital Pathology
Dataset for Natural Focus Blurr Assessment in Digital Pathology
No-Reference Focus Quality Assessment of Digital Pathology Images [IEEE TMI 2019]
In Search of Probeable Generalization Measures [ICMLA2021]
Package Library for Inverse Vandermonde Calculation
Cross Knowledge Transfer in Computational Pathology [ICASSP2022]
Transferability of Histological Tissue Labels in Computational Pathology [ECCV2020]
No-Reference (NR) Image Sharpness Assessment (ISA) of Natural Images [IEEE TIP 2019]
Kernel based Multilabel Contrastive Learning
Numerical Differentiation for Signal and Image Processing [SIIMS 2017, IEEE TIP 2017]
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space [ICASSP2023]
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
No-Reference (NR) Image Sharpness Assessment (ISA) of Synthetically Blurred Images