‪Yassine Barhoumi‬ - ‪Google Scholar‬

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Co-authors

Ghulam RasoolMachine Learning Department, Moffitt Cancer CenterVerified email at moffitt.org

Yassine Barhoumi

Yassine Barhoumi

Rowan University

Verified email at etudiant-fst.utm.tn


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scopeformer: n-CNN-ViT hybrid model for intracranial hemorrhage classification Y Barhoumi, G Rasool arXiv preprint arXiv:2107.04575, 2021	16	2021
Efficient scopeformer: Towards scalable and rich feature extraction for intracranial hemorrhage detection Y Barhoumi, NC Bouaynaya, G Rasool IEEE Access, 2023	3	2023
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection using Hybrid Convolution and Vision Transformer Networks Y Barhoumi	1	2023
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection Using Hybrid Convolution and Vision Transformer Networks B Yassine Rowan University, 2023		2023
Scopeformer: n-CNN-ViT hybrid model for Intracranial hemorrhage subtypes classification Y Barhoumi, G Rasool Medical Imaging with Deep Learning, 2021		2021

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