標(biāo)題: Titlebook: Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications; 9th International Wo José Manuel Ferrández Vicente,Jos [打印本頁] 作者: 萬圣節(jié) 時間: 2025-3-21 16:37
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書目名稱Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications讀者反饋
書目名稱Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications讀者反饋學(xué)科排名
作者: Metamorphosis 時間: 2025-3-21 21:30 作者: Pigeon 時間: 2025-3-22 04:00
978-3-031-06241-4Springer Nature Switzerland AG 2022作者: 怪物 時間: 2025-3-22 06:50 作者: 盡責(zé) 時間: 2025-3-22 12:08 作者: 我不重要 時間: 2025-3-22 14:02
Vom Protostern zum Schwarzen Loch,ls to diagnose and predict the evolution of neurological disorders like Parkinson’s Disease (PD). Though some of these previous work have attempted to combine multiple input data sources, many studies are critical of their lack of robustness when combining several input sources that with a high vari作者: infantile 時間: 2025-3-22 20:05
https://doi.org/10.1007/978-3-476-04175-3owever, an early diagnosis can be crucial for slowing its progress. The Clock Drawing Test (CDT) is a widely used paper-and-pencil test for cognitive assessment in which an individual has to manually draw a clock on a paper during a certain time. Nevertheless, there are a lot of scoring systems for 作者: Classify 時間: 2025-3-22 23:37
,Theobald Noltens ‘romantische’ Disposition, EEG and MEG methods record these brain oscillations and offer an invaluable insight into healthy and pathological brain function. These signals are helpful to study and achieve an objective and early diagnosis of neural disorders as Developmental Dyslexia (DD). DD early diagnosis is a challenging t作者: BATE 時間: 2025-3-23 03:53
Sylvia Feil,J?rg Resag,Kristin Riebepathological brain function. These signals are helpful to study and achieve an objective and early diagnosis of neural disorders as Developmental Dyslexia (DD). An atypical oscillatory sampling could cause the characteristic phonological difficulties of dyslexia at one or more temporal rates; in thi作者: Meander 時間: 2025-3-23 09:19
Chemie der Erde und der Planeten,ms that include hallucinations and loss of coordination between thoughts and feelings. Using deep learning and connectivity characteristics, we present a method to detect SZ from electroencephalography (EEG) signals. In this study, the data set of the Institute of Psychiatry and Neurology in Warsaw,作者: 蜿蜒而流 時間: 2025-3-23 10:07 作者: 神經(jīng) 時間: 2025-3-23 17:03 作者: 果仁 時間: 2025-3-23 20:15
Benjamin Bahr,J?rg Resag,Kristin Riebeion of an image by combining a source image to another that determines the . of the final result. In the field of neuroimaging, different modalities are frequently available, providing structural or functional information. Those modalities are usually analyzed separately, although it is possible to 作者: Saline 時間: 2025-3-24 01:05 作者: Ingratiate 時間: 2025-3-24 04:55 作者: DEBT 時間: 2025-3-24 09:07
Benjamin Bahr,J?rg Resag,Kristin Riebeiagnosed has strained already scarce healthcare resources to track and treat Covid-19 patients in a timely and effective manner. The search for a fast and accurate way to diagnose Covid-19 has attracted the attention of many researchers. In our study, a deep learning framework for the Covid-19 diagn作者: 原始 時間: 2025-3-24 11:42
Benjamin Bahr,J?rg Resag,Kristin Riebeect the hematopoietic system with abnormal blood changes, characterized by anemia, bleeding, and fever. It is helpful for doctors to diagnose blood diseases by classifying blood cells. However, doctors take a lot of time and energy to classify blood cells. The classification process is easily distur作者: Gudgeon 時間: 2025-3-24 15:37
Kristalle und andere feste Stoffe,y rare, occurring mainly due to chest pain or heart failure. Cardiac magnetic resonance (CMR) imaging is a popular technique for diagnosis of myocarditis. Factors such as low contrast, different noises, and high CMR slices of each patient cause many challenges when diagnosing myocarditis by speciali作者: 后來 時間: 2025-3-24 20:58 作者: 駭人 時間: 2025-3-25 01:19
https://doi.org/10.1007/978-3-662-67904-3 use of functional SPECT images. Nevertheless, to avoid some of its disadvantages with special focus on its expensive cost and low resolution, in the last years many studies have tried to use another imaging alternatives such as MRI scans able to evaluate subtle changes in the Grey Matter tissue. Wh作者: Flu表流動 時間: 2025-3-25 04:13
Die Grenzen des Standardmodells,um using a linear and/or a non-linear registration to a reference template. For that, the deformation has been indirectly measured studying the changes in the intensity values in two different scenarios when, during the interpolation stage, the amount or the concentrations of intensity values are pr作者: 逃避責(zé)任 時間: 2025-3-25 08:11 作者: 充足 時間: 2025-3-25 12:39 作者: 敵意 時間: 2025-3-25 16:17 作者: macabre 時間: 2025-3-25 22:38
CAD System for?Parkinson’s Disease with?Penalization of?Non-significant or?High-Variability Input Dals to diagnose and predict the evolution of neurological disorders like Parkinson’s Disease (PD). Though some of these previous work have attempted to combine multiple input data sources, many studies are critical of their lack of robustness when combining several input sources that with a high vari作者: Obedient 時間: 2025-3-26 03:48 作者: Gossamer 時間: 2025-3-26 04:42 作者: 一再遛 時間: 2025-3-26 10:09 作者: indubitable 時間: 2025-3-26 16:32
Automatic Diagnosis of?Schizophrenia in?EEG Signals Using Functional Connectivity Features and?CNN-Lms that include hallucinations and loss of coordination between thoughts and feelings. Using deep learning and connectivity characteristics, we present a method to detect SZ from electroencephalography (EEG) signals. In this study, the data set of the Institute of Psychiatry and Neurology in Warsaw,作者: intellect 時間: 2025-3-26 19:33 作者: Volatile-Oils 時間: 2025-3-26 23:23 作者: corpus-callosum 時間: 2025-3-27 01:41
Towards Mixed Mode Biomarkers: Combining Structural and?Functional Information by?Deep Learningion of an image by combining a source image to another that determines the . of the final result. In the field of neuroimaging, different modalities are frequently available, providing structural or functional information. Those modalities are usually analyzed separately, although it is possible to 作者: Coronary-Spasm 時間: 2025-3-27 09:13
Modelling the?Progression of?the?Symptoms of?Parkinsons Disease Using a?Nonlinear Decomposition of?1ion in the neurotransmitter dopamine, which is essential in the control of movement. While the diagnosis of PD is mainly clinical, new markers are being used with high accuracy in the later stages of the disease, where symptoms are clear. However, the early stages of the disease, when symptoms start作者: Chronic 時間: 2025-3-27 13:27
Capacity Estimation from?Environmental Audio Signals Using Deep Learningntee a minimal safety distance between people is also essential for health reasons, as in the current COVID-19 pandemic. Already existing systems for automatic crowd counting are mostly based on image or video data, and some of them, using deep learning architectures. In this paper, we study the via作者: Expertise 時間: 2025-3-27 17:21 作者: 放逐某人 時間: 2025-3-27 20:20
RDNet: ResNet-18 with?Dropout for?Blood Cell Classificationect the hematopoietic system with abnormal blood changes, characterized by anemia, bleeding, and fever. It is helpful for doctors to diagnose blood diseases by classifying blood cells. However, doctors take a lot of time and energy to classify blood cells. The classification process is easily distur作者: 相符 時間: 2025-3-28 00:21 作者: 軟膏 時間: 2025-3-28 03:22 作者: 奇思怪想 時間: 2025-3-28 08:39 作者: debble 時間: 2025-3-28 13:12
Evaluating Intensity Concentrations During the?Spatial Normalization of?Functional Images for?Parkinum using a linear and/or a non-linear registration to a reference template. For that, the deformation has been indirectly measured studying the changes in the intensity values in two different scenarios when, during the interpolation stage, the amount or the concentrations of intensity values are pr作者: 節(jié)省 時間: 2025-3-28 18:09
Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications9th International Wo作者: 變形 時間: 2025-3-28 22:24 作者: senile-dementia 時間: 2025-3-29 01:55 作者: muster 時間: 2025-3-29 03:45
https://doi.org/10.1007/978-3-476-04175-3nto a Convolutional Neural Network (CNN), which is used to identify the informative patterns within the CDT drawings that are relevant for the assessment of the patient’s cognitive status. Performance is evaluated in a real context where differentiating between CI patients and controls. The proposed作者: 外科醫(yī)生 時間: 2025-3-29 07:38 作者: 背帶 時間: 2025-3-29 15:12
Sylvia Feil,J?rg Resag,Kristin Riebert transform. Subsequently, the cause-effect relationships between channels in each subject have been reflected thanks to Granger causality, obtaining matrices that reflect the interaction between the different parts of the brain. Hence, each subject was classified as belonging or not to the control作者: Musket 時間: 2025-3-29 19:06
Chemie der Erde und der Planeten, (SIT2FLS) methods. In this step, the DL features and the each functional connectivity features are combined using a concatenate layer and finally classified by the sigmoid activation layer. To better evaluate the results, K-Fold with . was used in the classification step. The results show that the 作者: 恫嚇 時間: 2025-3-29 21:57 作者: Functional 時間: 2025-3-30 03:30
Benjamin Bahr,J?rg Resag,Kristin Riebebeen assessed with images from the Alzheimer Disease Neuroimaging Initiative, demonstrating that using the new mixed mode image outperforms the classification accuracy obtained by individual MRI or PET images.作者: exophthalmos 時間: 2025-3-30 04:27 作者: 摻假 時間: 2025-3-30 11:24 作者: 職業(yè)拳擊手 時間: 2025-3-30 16:08 作者: persistence 時間: 2025-3-30 17:28
Kristalle und andere feste Stoffe,MR images are created with the help of the cycle generative adversarial network (GAN) model at this step. Finally, pretrained models including EfficientNet B3, EfficientNet V2, HrNet, ResNetrs50, ResNest50d, and ResNet 50d have been used to classify the input data. Among pretrained methods, the Effi作者: Osteons 時間: 2025-3-30 22:46
Benjamin Bahr,J?rg Resag,Kristin Riebe. The usefulness of this method has been assessed with images from the Parkinson’s Progression Markers Initiative, demonstrating that differences between the dopaminergic regions of both hemispheres lead to a high performance when classifying controls . Parkinson’s disease patients.作者: INCH 時間: 2025-3-31 04:22
https://doi.org/10.1007/978-3-662-67904-3stical Agnostic Mapping (SAM) proposal. Results obtained suggest that there are no relevant ROIs in GM MRI imaging contrary to other modalities like the FP-CIT SPECT scans evaluated on the striatum region.作者: 猛然一拉 時間: 2025-3-31 07:38 作者: sed-rate 時間: 2025-3-31 11:47
Automatic Classification System for?Diagnosis of?Cognitive Impairment Based on?the?Clock-Drawing Tesnto a Convolutional Neural Network (CNN), which is used to identify the informative patterns within the CDT drawings that are relevant for the assessment of the patient’s cognitive status. Performance is evaluated in a real context where differentiating between CI patients and controls. The proposed作者: 階層 時間: 2025-3-31 15:16 作者: Diskectomy 時間: 2025-3-31 18:19 作者: 為現(xiàn)場 時間: 2025-3-31 22:37 作者: prostate-gland 時間: 2025-4-1 03:33 作者: 職業(yè)拳擊手 時間: 2025-4-1 07:33
