74 citations · 104 across the 15 of their papers we have counts for
15 papers
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis
Zirui Qiu, Hassan Rivaz, Yiming Xiao
While deep learning techniques have provided the state-of-the-art performance in various clinical tasks, explainability regarding their decision-making process can greatly enhance…
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…
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR
Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz +1
Early surgical treatment of brain tumors is crucial in reducing patient mortality rates. However, brain tissue deformation (called brain shift) occurs during the surgery, rendering…
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…
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz +1
Homologous anatomical landmarks between medical scans are instrumental in quantitative assessment of image registration quality in various clinical applications, such as MRI-ultras…
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery
Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz +1
In brain tumor resection, accurate removal of cancerous tissues while preserving eloquent regions is crucial to the safety and outcomes of the treatment. However, intra-operative t…
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks
Owen Hellum, Christopher Steele, Yiming Xiao
While mastery of neuroanatomy is important for the investigation of the brain, there is an increasing interest in exploring the neural pathways to better understand the roles of ne…
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality
Owen Hellum, Marta Kersten-Oertel, Yiming Xiao
While virtual-reality (VR) has shown great promise in radiological tasks, effective user-interaction strategies that can improve efficiency and ergonomics are still under-explored…
DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR
Nima Masoumi, Hassan Rivaz, M. Omair Ahmad +1
Purpose: Diffeomorphic image registration is essential in many medical imaging applications. Several registration algorithms of such type have been proposed, but primarily for intr…
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…
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…
Improved Source Counting and Separation for Monaural Mixture
Yiming Xiao, Haijian Zhang
Single-channel speech separation in time domain and frequency domain has been widely studied for voice-driven applications over the past few years. Most of previous works assume kn…
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?
Jie Luo, Guangshen Ma, Sarah Frisken +8
With the increasing availability of new image registration approaches, an unbiased evaluation is becoming more needed so that clinicians can choose the most suitable approaches for…
Image guidance in deep brain stimulation surgery to treat Parkinson's disease: a review
Yiming Xiao, Jonathan C. Lau, Dimuthu Hemachandra +3
Deep brain stimulation (DBS) is an effective therapy as an alternative to pharmaceutical treatments for Parkinson's disease (PD). Aside from factors such as instrumentation, treatm…
Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge
Yiming Xiao, Hassan Rivaz, Matthieu Chabanas +13
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-operative tissue deformation, called brain shift. Brain shift can move the surgical targets…