Soorena Salari
Orcid: 0000-0002-2587-0323
According to our database1,
Soorena Salari
authored at least 13 papers
between 2020 and 2024.
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Bibliography
2024
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability.
CoRR, 2024
CAMLD: Contrast-Agnostic Medical Landmark Detection with Consistency-Based Regularization.
CoRR, 2024
2023
Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection.
Int. J. Comput. Assist. Radiol. Surg., March, 2023
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection.
Inf. Fusion, 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
2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection.
CoRR, 2021
2020
A Generalizable Model for Fault Detection in Offshore Wind Turbines Based on DeepLearning.
CoRR, 2020