Medical imaging using machine learning and deep learning algorithms: a review
Machine and deep learning algorithms are rapidly growing in dynamic research of medical
imaging. Currently, substantial efforts are developed for the enrichment of medical imaging …
imaging. Currently, substantial efforts are developed for the enrichment of medical imaging …
Electromagnetic tracking in medicine—a review of technology, validation, and applications
Object tracking is a key enabling technology in the context of computer-assisted medical
interventions. Allowing the continuous localization of medical instruments and patient …
interventions. Allowing the continuous localization of medical instruments and patient …
Why rankings of biomedical image analysis competitions should be interpreted with care
International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
Vision-based and marker-less surgical tool detection and tracking: a review of the literature
In recent years, tremendous progress has been made in surgical practice for example with
Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to …
Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to …
[HTML][HTML] Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review
E Pellegrini, L Ballerini, MCV Hernandez… - Alzheimer's & Dementia …, 2018 - Elsevier
Introduction Advanced machine learning methods might help to identify dementia risk from
neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the …
neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the …
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
All fields of neuroscience that employ brain imaging need to communicate their results with
reference to anatomical regions. In particular, comparative morphometry and group analysis …
reference to anatomical regions. In particular, comparative morphometry and group analysis …
A review of 3D/2D registration methods for image-guided interventions
P Markelj, D Tomaževič, B Likar, F Pernuš - Medical image analysis, 2012 - Elsevier
Registration of pre-and intra-interventional data is one of the key technologies for image-
guided radiation therapy, radiosurgery, minimally invasive surgery, endoscopy, and …
guided radiation therapy, radiosurgery, minimally invasive surgery, endoscopy, and …
Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery
One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …
operative morphology and motion of soft-tissues. This information is prerequisite to the …
Surgical process modelling: a review
Purpose Surgery is continuously subject to technological and medical innovations that are
transforming daily surgical routines. In order to gain a better understanding and description …
transforming daily surgical routines. In order to gain a better understanding and description …
BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is steadily
increasing. These international competitions have the purpose of benchmarking algorithms …
increasing. These international competitions have the purpose of benchmarking algorithms …