Amirhossein Rasoulian
Orcid: 0009-0004-9077-521X
According to our database1,
Amirhossein Rasoulian
authored at least 9 papers
between 2022 and 2024.
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Bibliography
2024
Architecture Analysis and Benchmarking of 3D U-Shaped Deep Learning Models for Thoracic Anatomical Segmentation.
IEEE Access, 2024
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model.
Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 2024
2023
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR.
CoRR, 2023
Weakly supervised segmentation of intracranial aneurysms using a 3D focal modulation UNet.
CoRR, 2023
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning.
CoRR, 2023
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022