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標(biāo)題: Titlebook: Learning Disorders Across the Lifespan; A Mental Health Fram Amy E. Margolis,Jessica Broitman Book 2023 The Editor(s) (if applicable) and T [打印本頁]

作者: indulge    時(shí)間: 2025-3-21 16:46
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作者: Aprope    時(shí)間: 2025-3-21 23:31
How Psychoanalytic Theory Can Help Us Understand Learning Disordersestimates suggest that more than 70% of young people with a language disorder have a psychiatric disorder. This chapter discusses the ways in which psychoanalytic theory can help us understand the impact on one’s psychological processes when one has a LD and suggests areas to be considered and addressed in treatment.
作者: Mhc-Molecule    時(shí)間: 2025-3-22 02:32
Neuropsychoeducational Treatmenteveloped over the past 20?years and delivers an individual treatment that combines psychotherapy, cognitive remediation, and academic tutoring into a single modality. Case studies illustrate the psychological aspects of SLD and how Homework Therapy addressed the child’s needs in each case.
作者: HUMP    時(shí)間: 2025-3-22 04:42

作者: STRIA    時(shí)間: 2025-3-22 12:01

作者: Ptsd429    時(shí)間: 2025-3-22 13:00
Book 2023utism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) in the?.Diagnostic and Statistical Manual of Mental Disorders., Fifth Edition (DSM-5). It describes how policy and practice point to a different perspective – specifically that SLDs are often treated as educational rat
作者: 他很靈活    時(shí)間: 2025-3-22 20:58
Introduction: Rationale and Overviewdistinct psychological orientations, (II) examples of the few existing psychological treatments for SLDs and the impact of SLD on treatment, and (III) the importance of comprehensive assessment of SLDs for application to both clinical practice and research purposes.
作者: Barrister    時(shí)間: 2025-3-23 00:06

作者: 獨(dú)輪車    時(shí)間: 2025-3-23 04:36

作者: 落葉劑    時(shí)間: 2025-3-23 08:46
Defining Specific Learning Disorder: The Evolution of the Diagnostic Criteria modern definition of SLD is presented. How the law protects people who need accommodations for SLD that rise to the level of a disability is also considered. Finally, we propose that SLD assessment is becoming more specialized as the neuroscience of SLD evolves.
作者: 食料    時(shí)間: 2025-3-23 12:56
Integrating Psychology, Psychiatry, and Neuroscience into Clinical Assessment of Specific Learning Dacademic skills, and specifically reading skills, may inform a personalized approach to treatment. We use cognitive control as a model system and propose tools that may help move SLD treatment and research forward by identifying novel cognitive and neural treatment targets.
作者: 違反    時(shí)間: 2025-3-23 15:08
The Need for Integrated Supports in Schools and the Role of School Psychologists explains how cognition and emotion impact students’ functioning and a brief description of some common disorders that affect students within the domains of cognition, affect, and their interactions. We argue that interventions for learning disabilities require faculty and psychologists who can addr
作者: CHAR    時(shí)間: 2025-3-23 20:04

作者: 吝嗇性    時(shí)間: 2025-3-23 23:16

作者: STAT    時(shí)間: 2025-3-24 05:20
Adapting DBT for Youth with Learning Disordersacademic skills deficit, and provide considerations for individual, family, and group therapists. We then offer specific suggestions for adapting DBT for clinicians working with individuals diagnosed with each of the specific learning disorders across treatment modalities. Finally, we close with an
作者: 變形    時(shí)間: 2025-3-24 06:58
A Contemporary Psychoanalytic Consideration of Nonverbal Learning Disabilitiesoffer a brief overview of the psychoanalytic treatment of the young man to illustrate how holding and coherence emerged such that he experienced an enhanced ability to organize and utilize his mind and his thoughts with agency, purpose, and efficacy.
作者: HPA533    時(shí)間: 2025-3-24 12:04

作者: BLINK    時(shí)間: 2025-3-24 15:59
Book 2023nents of SLDs and addresses the need for a mental health framework within which to approach theory, treatment, and assessment of SLDs..Key areas of coverage include:.Examining different theoretical orientations to learning disorders (e.g., cognitive, behavioral, neuropsychoeducational, psychoanalyti
作者: amphibian    時(shí)間: 2025-3-24 19:01

作者: Integrate    時(shí)間: 2025-3-25 00:48
cells. Additionally, we compare attribution maps with the annotations of a medical expert to see how the model’s decision-making differs from the human standard. Our study addresses the challenge of implementing pixel-level explainability in multiple instance learning models and provides insights f
作者: seruting    時(shí)間: 2025-3-25 05:35

作者: Commodious    時(shí)間: 2025-3-25 09:55
Amy E. Margolis,Jessica Broitmannt-to-point correspondences. We also show that by maximizing the marginalized likelihood of the model, the optimal number of clusters of point sets can be determined. We illustrate this work in the context of understanding the anatomical phenotype of the left and right ventricles in heart. To this e
作者: GENRE    時(shí)間: 2025-3-25 14:46
Amy E. Margolise intuition that the variability in parameter estimates associated with relevant features would likely be higher with responses permuted. On synthetic data, we show that BPT provides higher sensitivity in identifying relevant features from the SMR model than permutation test and stability selection,
作者: 領(lǐng)巾    時(shí)間: 2025-3-25 19:37
Amy E. Margolis,Ran Liuas preserves individual subject characteristics. Spectral decomposition of this joint graph is used to cluster each cortical vertex into a subregion in order to obtain whole-brain parcellations. Using rs-fMRI data collected from 40 healthy subjects, we show that our proposed algorithm computes highl
作者: Conquest    時(shí)間: 2025-3-25 23:45
Michael Kern,Kamaru Johnson,Stephen Peverlyacquired. In this work, we propose a novel multi-snapshot DWI reconstruction technique that simultaneously achieves HR reconstruction and local tissue model estimation while enabling reconstruction from snapshots containing different subsets of diffusion gradients, providing increased robustness to
作者: 青春期    時(shí)間: 2025-3-26 03:13

作者: Flawless    時(shí)間: 2025-3-26 06:35

作者: Brittle    時(shí)間: 2025-3-26 09:19
Amy E. Margolis,Gayle Formanical space whose measure not only reflects the intrinsic “volume” of signals’ randomness but also keeps invariant under images’ spatial transformation. Experiments with synthetic and real images demonstrate that our method achieves transformation invariance and significantly minimizes the bias intro
作者: palliative-care    時(shí)間: 2025-3-26 14:18
Daphne Kopelman-Rubin,Anat Brunstein-klome,Laura Mufsoncularimaging; from applications in patient care to those in biomedical research. We received 123 submissions by the deadline in February 2003. Each paper was reviewed by four members of the Scienti?c Committee, placing particular emphasis on originality, scienti?c rigor, and biomedical relevance. Pa
作者: Deadpan    時(shí)間: 2025-3-26 19:38
Philip Capin,Rachel Flynn,Sarah Fishstrom,Amie E. Grills,Sharon Vaughnependent samples. We show that even with standard 3D CNNs, there is value in augmenting the network to exploit information regarding dependent samples. We present empirical results for predicting cognitive trajectories (slope and intercept) from morphometric change images derived from multiple time
作者: allergy    時(shí)間: 2025-3-26 21:46
Mariah DeSerisy,Emily Hirsh,Jessica Macklinependent samples. We show that even with standard 3D CNNs, there is value in augmenting the network to exploit information regarding dependent samples. We present empirical results for predicting cognitive trajectories (slope and intercept) from morphometric change images derived from multiple time
作者: 有特色    時(shí)間: 2025-3-27 02:13
Jessica Broitmanvel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is
作者: Ige326    時(shí)間: 2025-3-27 07:46
Joseph Palombovel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is
作者: Lipohypertrophy    時(shí)間: 2025-3-27 11:51
Carina Grossmark,Robert Grossmarkting the mean ordering by fitting a generalized Mallows model. In order to validate the biomarker ordering obtained using nDEBM, we also present a framework for Simulation of Imaging Biomarkers’ Temporal Evolution (SImBioTE) that mimics neurodegeneration in brain regions. SImBioTE trains variational
作者: 新奇    時(shí)間: 2025-3-27 14:32
Scott M. Palyo a variational approximation of the information bottleneck principle with stochastic latent space. In the application setting of reconstructing the sequence of cardiac transmembrane potential from body-surface potential, we assess the two types of generalization abilities of the presented network ag
作者: 滲入    時(shí)間: 2025-3-27 19:07
improve the detection performance of 14 common thoracic diseases. Through learning the correspondences between different types of feature representations, common features learned by both the report generation and the classification model are assigned with higher attention weights and the weighted v
作者: 上流社會(huì)    時(shí)間: 2025-3-27 23:18

作者: FIN    時(shí)間: 2025-3-28 02:25
Amy E. Margolis,Michael P. Milhamlly generated phantoms with success and to a third phantom with “exact” (no statistical fluctuations) projection data with results which confirm our understanding of the fundamental process of iterative image reconstruction. We conclude that the behavior of the target functions whose extrema are sou
作者: Organonitrile    時(shí)間: 2025-3-28 06:27

作者: 山間窄路    時(shí)間: 2025-3-28 11:18

作者: Disk199    時(shí)間: 2025-3-28 18:11
) is crucial for informing prognosis and determining treatment strategies. Current automated differential diagnosis methods for .F-fluorodeoxyglucose (.F-FDG) positron emission tomography (PET) scans, such as convolutional neural networks (CNNs), often focus on local brain regions and do not explici
作者: 故意    時(shí)間: 2025-3-28 19:30

作者: 名義上    時(shí)間: 2025-3-29 00:57

作者: OUTRE    時(shí)間: 2025-3-29 05:36

作者: 花費(fèi)    時(shí)間: 2025-3-29 11:04
Michael Kern,Kamaru Johnson,Stephen Peverlyntly been proposed to increase the spatial resolution in diffusion weighted imaging (DWI), providing a theoretical 8x acceleration at equal signal-to-noise ratio (SNR) compared to conventional dense k-space sampling. However, in most works, each DW image is reconstructed separately and the fact that
作者: Corral    時(shí)間: 2025-3-29 11:42
Jessica Broitmanhole-brain connectivity analysis, a critical stage is the computation of a set of network nodes that can effectively represent cortical regions. To address this problem, we present a robust cerebral cortex parcellation method based on spectral graph theory and resting-state fMRI correlations that ge
作者: single    時(shí)間: 2025-3-29 17:58
icit point correspondence across the training data set. In medical imaging, point sets can generally represent different shape classes that span healthy and pathological exemplars. In such cases, the constructed SSM may not generalize well, largely because the probability density function (pdf) of t
作者: Benign    時(shí)間: 2025-3-29 23:35
Amy E. Margolis,Gayle Formanalse discovery rate (FDR) criterion was introduced to the neuroimaging community a decade ago, various improvements have been proposed. However, a highly desirable feature, transformation invariance, has not been adequately addressed, especially for voxel-based FDR. Thresholding applied after spatia
作者: defibrillator    時(shí)間: 2025-3-30 00:00
Daphne Kopelman-Rubin,Anat Brunstein-klome,Laura Mufsonlysis and interpretation, for an international workshop that allows extensive, in-depth d- cussion of new ideas. Many of the most in?uential developments in the ?eld were ?rst presented at IPMI, and the series has done much to foster a rigorous sci- ti?c approach to information processing in medical
作者: Femine    時(shí)間: 2025-3-30 04:31

作者: Congruous    時(shí)間: 2025-3-30 10:34
Mariah DeSerisy,Emily Hirsh,Jessica Macklinin imaging data and more generally, with biomedical imaging data. A standard assumption in learning is that the training samples are independently drawn from the underlying distribution. In computer vision, where we have millions of training examples, this assumption is violated but the empirical pe
作者: 鋼筆尖    時(shí)間: 2025-3-30 13:43
Jessica Broitmanneralizing well to unseen images. In practice, obtaining a large number of annotations from clinical experts is expensive and time-consuming. One way to address scarcity of annotated examples is data augmentation using random spatial and intensity transformations. Recently, it has been proposed to u
作者: 遠(yuǎn)地點(diǎn)    時(shí)間: 2025-3-30 18:42
Joseph Palomboneralizing well to unseen images. In practice, obtaining a large number of annotations from clinical experts is expensive and time-consuming. One way to address scarcity of annotated examples is data augmentation using random spatial and intensity transformations. Recently, it has been proposed to u
作者: 替代品    時(shí)間: 2025-3-31 00:01
Carina Grossmark,Robert Grossmarkoss-sectional data. Current EBMs only handle scalar biomarkers, such as regional volumes, as inputs. However, regional aggregates are a crude summary of the underlying high-resolution images, potentially limiting the accuracy of EBM. Therefore, we propose a novel method that exploits high-dimensiona
作者: Deject    時(shí)間: 2025-3-31 01:55

作者: epidermis    時(shí)間: 2025-3-31 08:08
ed radiological examinations to help spot thoracic abnormalities or diseases, especially lung-related diseases. However, the reporting of chest x-rays requires experienced radiologists who are often in shortage in many regions of the world. In this paper, we first develop an automatic radiology repo
作者: miscreant    時(shí)間: 2025-3-31 10:41
Jessica Broitman,John M. Davisthere is a single inflow artery or outflow vein in an organ. 2.) The commonest type of vascular disease is atherosclerosis, which tends to affect larger vessels. It may be advantageous to measure flow or change in flow in the diseased vessel (s), rather than attempt to measure tissue flow in its reg
作者: FADE    時(shí)間: 2025-3-31 16:33
Hale Martin,Jason Turrete in the south of the Netherlands. Following the highly successful IPMI in Gl- wood Springs in the Rocky Mountains, Colorado, USA (2005), the conference was the latest in a series of biennial scienti?c meetings where new developments in acquisition, analysis, and use of medical images are presented.




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