7 citations · 9 across the 5 of their papers we have counts for
5 papers
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
Christopher Neves, Yong Zeng, Yiming Xiao
Parkinson's disease (PD) is a debilitating neurodegenerative disease that has severe impacts on an individual's quality of life. Compared with structural and functional MRI-based b…
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model
Pascal Spiegler, Amirhossein Rasoulian, Yiming Xiao
Intracranial hemorrhage (ICH) is a life-threatening condition that requires rapid and accurate diagnosis to improve treatment outcomes and patient survival rates. Recent advancemen…
VesselShot: Few-shot learning for cerebral blood vessel segmentation
Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel +1
Angiography is widely used to detect, diagnose, and treat cerebrovascular diseases. While numerous techniques have been proposed to segment the vascular network from different imag…
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn +6
Recent developments in deep learning (DL) techniques have led to great performance improvement in medical image segmentation tasks, especially with the latest Transformer model and…
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Bahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas +6
Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images play an essential role in surgical planning and resection of brain tumors. However, val…