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08/29/2023
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis
While deep learning techniques have provided the state-of-the-art perfor...
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08/28/2023
VesselShot: Few-shot learning for cerebral blood vessel segmentation
Angiography is widely used to detect, diagnose, and treat cerebrovascula...
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08/21/2023
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR
Early surgical treatment of brain tumors is crucial in reducing patient ...
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08/14/2023
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Recent developments in deep learning (DL) techniques have led to great p...
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08/06/2023
Weakly supervised segmentation of intracranial aneurysms using a 3D focal modulation UNet
Accurate identification and quantification of unruptured intracranial an...
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07/26/2023
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Homologous anatomical landmarks between medical scans are instrumental i...
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07/26/2023
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery
In brain tumor resection, accurate removal of cancerous tissues while pr...
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04/11/2023
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning
Intracranial hemorrhage (ICH) is a life-threatening medical emergency ca...
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01/24/2023
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks
While mastery of neuroanatomy is important for the investigation of the ...
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12/16/2022
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality
While virtual-reality (VR) has shown great promise in radiological tasks...
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07/13/2022
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Purpose: Registration and segmentation of magnetic resonance (MR) and ul...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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03/20/2020