Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer. - Amirhossein Rasoulian; Soorena Salari; Yiming Xiao (MLCN@MICCAI, 2022)

Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning. - Soorena Salari; Amirhossein Rasoulian; Hassan Rivaz; Yiming Xiao (MICCAI (9), 2023)

FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery. - Soorena Salari; Amirhossein Rasoulian; Hassan Rivaz; Yiming Xiao (MICCAI (9), 2023)

Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. - Soorena Salari; Amirhossein Rasoulian; Michele C. Battié; Maryse Fortin; Hassan Rivaz; Yiming Xiao (Image Processing, 2023)

Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning. - Amirhossein Rasoulian; Soorena Salari; Yiming Xiao (CoRR, 2023)

Weakly supervised segmentation of intracranial aneurysms using a 3D focal modulation UNet. - Amirhossein Rasoulian; Soorena Salari; Yiming Xiao (CoRR, 2023)

Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR. - Soorena Salari; Amirhossein Rasoulian; Hassan Rivaz; Yiming Xiao (CoRR, 2023)

Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model. - Pascal Spiegler; Amirhossein Rasoulian; Yiming Xiao (SWITCH/ISLES@MICCAI, 2024)

Architecture Analysis and Benchmarking of 3D U-Shaped Deep Learning Models for Thoracic Anatomical Segmentation. - Arash Harirpoush; Amirhossein Rasoulian; Marta Kersten-Oertel; Yiming Xiao (IEEE Access, 2024)