Search results for "Intelligence"
showing 10 items of 6959 documents
Computer-aided navigation in neurosurgery
2003
The article comprises three main parts: a historical review on navigation, the mathematical basics for calculation and the clinical applications of navigation devices. Main historical steps are described from the first idea till the realisation of the frame-based and frameless navigation devices including robots. In particular the idea of robots can be traced back to the Iliad of Homer, the first testimony of European literature over 2500 years ago. In the second part the mathematical calculation of the mapping between the navigation and the image space is demonstrated, including different registration modalities and error estimations. The error of the navigation has to be divided into the …
Effectiveness and safety of Nintendo Wii Fit PlusTM training in children with migraine without aura a preliminary study
2013
Maria Esposito,1 Maria Ruberto,2 Francesca Gimigliano,1,2 Rosa Marotta,3 Beatrice Gallai,4 Lucia Parisi,5 Serena Marianna Lavano,3 Michele Roccella,5 Marco Carotenuto11Center for Childhood Headache, Child and Adolescent Neuropsychiatry Clinic, Department of Mental Health, Physical and Preventive Medicine, 2Department of Odonto-Stomathologic Disciplines, Pathology – Orthopedic Sciences, Second University of Naples, Naples, Italy; 3Department of Psychiatry, “Magna Graecia” University of Catanzaro, Catanzaro, Italy; 4Unit of Child and Adolescent Neuropsychiatry, University of Perugia, Perugia, Italy; 5Child Neuropsychiatry, Department of Psychology, University of …
Mobilization of short-term memory capacity for odors in discriminative tests: implication for assessors' selection
2004
Abstract The objective was to determine whether individual short-term memory capacities for odor are related to performance at discriminative tests. Two groups of 11 subjects were formed with different short-term memory for odor but equivalent sensitivity toward benzaldehyde, the aromatic compound to be detected in discriminative tests. The subject sensitivity was determined by d ′ values, derived from a detection task. Memory span for odors was the largest number of odors memorized at once. It ranged from 1 to 3 for the low memory span group and from 5 to 7 for the high memory span group. Then, subjects performed 20 triangle tests and 12 2-out-of-5 tests with two strawberry flavored soft d…
Community detection-based deep neural network architectures: A fully automated framework based on Likert-scale data
2020
[EN] Deep neural networks (DNNs) have emerged as a state-of-the-art tool in very different research fields due to its adaptive power to the decision space since they do not presuppose any linear relationship between data. Some of the main disadvantages of these trending models are that the choice of the network underlying architecture profoundly influences the performance of the model and that the architecture design requires prior knowledge of the field of study. The use of questionnaires is hugely extended in social/behavioral sciences. The main contribution of this work is to automate the process of a DNN architecture design by using an agglomerative hierarchical algorithm that mimics th…
Development of a Protocol for CCD Calibration: Application to a Multispectral Imaging System
2005
In this paper we describe in detail a method for calibrating a CCD-based camera. The calibration aims to remove both temporal and systematic noises introduced by the sensor, electronics, and optics after which we can correct the non-linearity of its response. For the non-linearity correction we use a simple and powerful approach consisting on a complementary approach between a polynomial fitting and an LUT based algorithm. The proposed methodology is accurate in the sense that it takes into account individual characteristics of each pixel. In each pixel, systematic noises are measured through acquiring offset images, thermal images, and FlatField images. A rigorous protocol for acquiring th…
High Dynamic Range Spectral Imaging Pipeline For Multispectral Filter Array Cameras
2017
Spectral filter arrays imaging exhibits a strong similarity with color filter arrays. This permits us to embed this technology in practical vision systems with little adaptation of the existing solutions. In this communication, we define an imaging pipeline that permits high dynamic range (HDR)-spectral imaging, which is extended from color filter arrays. We propose an implementation of this pipeline on a prototype sensor and evaluate the quality of our implementation results on real data with objective metrics and visual examples. We demonstrate that we reduce noise, and, in particular we solve the problem of noise generated by the lack of energy balance. Data are provided to the community…
Towards EEG-Based Haptic Interaction within Virtual Environments
2019
International audience; Current virtual environments (VE) enable perceiving haptic stimuli to facilitate 3D user interaction, but lack brain-interfacial contents. Using electroencephalography (EEG), we undertook a feasibility study on exploring event-related potential (ERP) patterns of the user's brain responses during haptic interaction within a VE. The interaction was flying a virtual drone along a curved transmission line to detect defects under the stimuli (e.g., force increase and/or vibrotactile cues). We found that there were variations in the peak amplitudes and latencies (as ERP patterns) of the responses at about 200 ms post the onset of the stimuli. The largest negative peak occu…
The anesthesiologist and end-of-life care
2012
Purpose of review Anesthesiologists may face problematic situations when patients are close to death, in which clinical problems, decision-making processes, and ethical issues are often interconnected and dependent on each of them. The aim of this review is to assess the recent literature regarding the anesthesiological role for advanced cancer patients. Recent findings Palliative sedation in the dying patients, end-of-life problems in the ICU, and pain control in advanced cancer patients have been the subject of recent research. All these issues have shown that anesthesiologist would be expert in the field of pain and symptom control at the end of life. End-of-life care problems are common…
Efficient 3D Deep Learning for Myocardial Diseases Segmentation
2021
Automated myocardial segmentation from late gadolinium enhancement magnetic resonance images (LGE-MRI) is a critical step in the diagnosis of cardiac pathologies such as ischemia and myocardial infarction. This paper proposes a deep learning framework for improved myocardial diseases segmentation. In the first step, we build an encoder-decoder segmentation network that generates myocardium and cavity segmentations from the whole volume, followed by a 3D U-Net based on Shape prior to identifying myocardial infarction and myocardium ventricular obstruction (MVO) segmentations from the encoder-decoder prediction. The proposed network achieves good segmentation performance, as computed by avera…
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.
2020
Abstract Background Muscle-invasive bladder cancer (MIBC) is the second most common genitourinary malignancy, and is associated with high morbidity and mortality. Recently, molecular subtypes of MIBC have been identified, which have important clinical implications. Objective In the current study, we tried to predict the molecular subtype of MIBC samples from conventional histomorphology alone using deep learning. Design, setting, and participants Two cohorts of patients with MIBC were used: (1) The Cancer Genome Atlas Urothelial Bladder Carcinoma dataset including 407 patients and (2) our own cohort including 16 patients with treatment-naive, primary resected MIBC. This resulted in a total …