Robust orthogonal-view 2-D/3-D rigid registration for minimally invasive surgery
Intra-operative target pose estimation is fundamental in minimally invasive surgery (MIS) to
guiding surgical robots. This task can be fulfilled by the 2-D/3-D rigid registration, which …
guiding surgical robots. This task can be fulfilled by the 2-D/3-D rigid registration, which …
Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation
Y Chen, Y Gao, L Zhu, J Li, Y Wang… - … on Radiation and …, 2024 - ieeexplore.ieee.org
Early and accurate identification of intracranial hemorrhage (ICH) is crucial for treatment, but
the inherently low contrast resolution of CT imaging poses challenges in identification of …
the inherently low contrast resolution of CT imaging poses challenges in identification of …
Comparative analysis of ResNet, ResNet-SE, and attention-based RaNet for hemorrhage classification in CT images using deep learning
S Nizarudeen, GR Shanmughavel - Biomedical Signal Processing and …, 2024 - Elsevier
Intracranial hemorrhage (ICH) is a critical medical condition associated with blood vessel
rupture, demanding prompt intervention for optimal outcomes. This study focuses on …
rupture, demanding prompt intervention for optimal outcomes. This study focuses on …
Automatic Implant Generation for Cranioplasty via Occupancy Networks
S Mazzocchetti, M Bevini, G Badiali, G Lisanti… - IEEE …, 2024 - ieeexplore.ieee.org
The design of patient-specific implants for cranioplasty surgery is time-consuming and
challenging. Hence, the 2021 AutoImplant II challenge, consisting of the SkullBreak and …
challenging. Hence, the 2021 AutoImplant II challenge, consisting of the SkullBreak and …
Intracranial hemorrhage detection on ct scan images using transfer learning approach of convolutional neural network
AI Rahman, S Bhuiyan, ZH Reza, J Zaheen… - Proceedings of the 2nd …, 2022 - dl.acm.org
Intracranial hemorrhage is an acute bleeding within the skull when a brain's blood vessel is
ruptured which eventually leads to disability or even death. It is extremely important to …
ruptured which eventually leads to disability or even death. It is extremely important to …
Prior tissue knowledge-driven contrastive learning for brain CT report generation
Y Shi, J Ji, X Zhang, Y Liu, Z Wang, H Xu - Multimedia Systems, 2024 - Springer
Writing medical reports for brain computed tomography (CT) is essential for radiologists to
diagnose cerebrovascular diseases. Recent advances in medical report generation have …
diagnose cerebrovascular diseases. Recent advances in medical report generation have …
Automatic brain midline surface delineation on 3d ct images with intracranial hemorrhage
D Wu, H Li, J Chang, C Qin, Y Chen… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Brain midline delineation plays an important role in guiding intracranial hemorrhage
surgery, which still remains a challenging task since hemorrhage shifts the normal brain …
surgery, which still remains a challenging task since hemorrhage shifts the normal brain …
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Abstract Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its
high prevalence and potential for long-term health effects. Despite Computed Tomography …
high prevalence and potential for long-term health effects. Despite Computed Tomography …
Classification of brain hemorrhage using fine-tuned transfer learning
Bleeding within the cerebral part of brain is known as intracranial brain hemorrhage.
Appropriate classification of brain hemorrhage is a challenging task need to solve for …
Appropriate classification of brain hemorrhage is a challenging task need to solve for …
Automated detection of fatal cerebral haemorrhage in postmortem CT data
A Zirn, E Scheurer, C Lenz - International Journal of Legal Medicine, 2024 - Springer
During the last years, the detection of different causes of death based on postmortem
imaging findings became more and more relevant. Especially postmortem computed …
imaging findings became more and more relevant. Especially postmortem computed …