Beyond euclid: An illustrated guide to modern machine learning with geometric, topological, and algebraic structures
The enduring legacy of Euclidean geometry underpins classical machine learning, which,
for decades, has been primarily developed for data lying in Euclidean space. Yet, modern …
for decades, has been primarily developed for data lying in Euclidean space. Yet, modern …
Automated model-based vertebra detection, identification, and segmentation in CT images
T Klinder, J Ostermann, M Ehm, A Franz, R Kneser… - Medical image …, 2009 - Elsevier
For many orthopaedic, neurological, and oncological applications, an exact segmentation of
the vertebral column including an identification of each vertebra is essential. However …
the vertebral column including an identification of each vertebra is essential. However …
A review of methods for quantitative evaluation of axial vertebral rotation
T Vrtovec, F Pernuš, B Likar - European Spine Journal, 2009 - Springer
Quantitative evaluation of axial vertebral rotation is essential for the determination of
reference values in normal and pathological conditions and for understanding the …
reference values in normal and pathological conditions and for understanding the …
[图书][B] Statistical shape models: understanding and mastering variation in anatomy
In our chapter we are describing how to reconstruct three-dimensional anatomy from
medical image data and how to build Statistical 3D Shape Models out of many such …
medical image data and how to build Statistical 3D Shape Models out of many such …
Cascaded statistical shape model based segmentation of the full lower limb in CT
EA Audenaert, J Van Houcke, DF Almeida… - Computer methods in …, 2019 - Taylor & Francis
Image segmentation has become an important tool in orthopedic and biomechanical
research. However, it greatly remains a time-consuming and laborious task. In this …
research. However, it greatly remains a time-consuming and laborious task. In this …
Spine detection in CT and MR using iterated marginal space learning
Examinations of the spinal column with both, Magnetic Resonance (MR) imaging and
Computed Tomography (CT), often require a precise three-dimensional positioning …
Computed Tomography (CT), often require a precise three-dimensional positioning …
Cortical sulci recognition and spatial normalization
Brain mapping techniques pair similar anatomical information across individuals. In this
context, spatial normalization is mainly used to reduce inter-subject differences to improve …
context, spatial normalization is mainly used to reduce inter-subject differences to improve …
Nonrigid 2D/3D registration of coronary artery models with live fluoroscopy for guidance of cardiac interventions
D Rivest-Henault, H Sundar… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
A 2D/3D nonrigid registration method is proposed that brings a 3D centerline model of the
coronary arteries into correspondence with bi-plane fluoroscopic angiograms. The …
coronary arteries into correspondence with bi-plane fluoroscopic angiograms. The …
A statistical model for quantification and prediction of cardiac remodelling: Application to tetralogy of fallot
Cardiac remodelling plays a crucial role in heart diseases. Analyzing how the heart grows
and remodels over time can provide precious insights into pathological mechanisms …
and remodels over time can provide precious insights into pathological mechanisms …
The state-of-the-art in ultrasound-guided spine interventions
HE Gueziri, C Santaguida, DL Collins - Medical Image Analysis, 2020 - Elsevier
During the last two decades, intra-operative ultrasound (iUS) imaging has been employed
for various surgical procedures of the spine, including spinal fusion and needle injections …
for various surgical procedures of the spine, including spinal fusion and needle injections …