Non-rigid registration via intelligent adaptive feedback control
Preserving features or local shape characteristics of a mesh using conventional non-rigid
registration methods is always difficult, as the preservation and deformation are competing …
registration methods is always difficult, as the preservation and deformation are competing …
4D Feet: Registering Walking Foot Shapes Using Attention Enhanced Dynamic-Synchronized Graph Convolutional LSTM Network
4D-scans of dynamic deformable human body parts help researchers have a better
understanding of spatiotemporal features. However, reconstructing 4D-scans utilizing …
understanding of spatiotemporal features. However, reconstructing 4D-scans utilizing …
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Automatic rib labeling and anatomical centerline extraction are common prerequisites for
various clinical applications. Prior studies either use in-house datasets that are inaccessible …
various clinical applications. Prior studies either use in-house datasets that are inaccessible …
An intelligent composite model incorporating global/regional X-rays and clinical parameters to predict progressive adolescent idiopathic scoliosis curvatures and …
Background Adolescent idiopathic scoliosis (AIS) affects up to 5% of the population. The
efficacy of school-aged screening remains controversial since it is uncertain which …
efficacy of school-aged screening remains controversial since it is uncertain which …
A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data
Neoadjuvant chemotherapy (NAC) is a standard-of-care treatment for locally advanced triple
negative breast cancer (TNBC) before surgery. The early assessment of TNBC response to …
negative breast cancer (TNBC) before surgery. The early assessment of TNBC response to …
Comfort wearables for in-flight sitting posture recognition
Wearables are used to recognize human activities in various applications. However, there is
limited evidence on the comfort feelings in using wearables, which is crucial for the adoption …
limited evidence on the comfort feelings in using wearables, which is crucial for the adoption …
A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth
Forecasting tumor progression and assessing the uncertainty of predictions play a crucial
role in clinical settings, especially for determining disease outlook and making informed …
role in clinical settings, especially for determining disease outlook and making informed …
[PDF][PDF] Optimal and adaptive controller design for motorway traffic with connected and automated vehicles
F Tajdari - 2023 - aaltodoc.aalto.fi
Connected vehicles control has brought the opportunity of using a higher level of Traffic
Management Center (TMC) to investigate the driving-related terms of congestion avoidance …
Management Center (TMC) to investigate the driving-related terms of congestion avoidance …
Unraveling the Neural Network: Identifying Temporal Labeling of Visual Events through EEG-Based Functional Connectivity Analysis of Brain Regions
S Khoonbani, H Ramezanian - arXiv preprint arXiv:2308.12056, 2023 - arxiv.org
Understanding the complex interplay between the brain and a dynamic environment
necessitates the continuous generation and updating of expectations for forthcoming events …
necessitates the continuous generation and updating of expectations for forthcoming events …
An improved U-Net network for medical image segmentation
Z Wang, J Zhang, Z Liu, S Chen… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
In many computer-aided spinal imaging and disease diagnosis, automating the
segmentation of the spine and cones from CT images is a challenging problem. Therefore …
segmentation of the spine and cones from CT images is a challenging problem. Therefore …