Soorena Salari

Orcid: 0000-0002-2587-0323

According to our database1, Soorena Salari authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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


  Loading...