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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
Alzheimer's diseases detection by using deep learning algorithms: a mini-review
S Al-Shoukry, TH Rassem, NM Makbol - IEEE Access, 2020 - ieeexplore.ieee.org
The accurate diagnosis of Alzheimer's disease (AD) plays an important role in patient
treatment, especially at the disease's early stages, because risk awareness allows the …
treatment, especially at the disease's early stages, because risk awareness allows the …
A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
We present a publicly available dataset of 227 healthy participants comprising a young (N=
153, 25.1±3.1 years, range 20–35 years, 45 female) and an elderly group (N= 74, 67.6±4.7 …
153, 25.1±3.1 years, range 20–35 years, 45 female) and an elderly group (N= 74, 67.6±4.7 …
The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses
Abstract We present the Amsterdam Open MRI Collection (AOMIC): three datasets with
multimodal (3 T) MRI data including structural (T1-weighted), diffusion-weighted, and …
multimodal (3 T) MRI data including structural (T1-weighted), diffusion-weighted, and …
Prediction of stimulus-independent and task-unrelated thought from functional brain networks
Neural substrates of “mind wandering” have been widely reported, yet experiments have
varied in their contexts and their definitions of this psychological phenomenon, limiting …
varied in their contexts and their definitions of this psychological phenomenon, limiting …
A naturalistic neuroimaging database for understanding the brain using ecological stimuli
Neuroimaging has advanced our understanding of human psychology using reductionist
stimuli that often do not resemble information the brain naturally encounters. It has improved …
stimuli that often do not resemble information the brain naturally encounters. It has improved …
Widespread cortical functional disconnection in gliomas: an individual network map** approach
Assessment of impaired/preserved cortical regions in brain tumours is typically performed
via intraoperative direct brain stimulation of eloquent areas or task-based functional MRI …
via intraoperative direct brain stimulation of eloquent areas or task-based functional MRI …
Network neuroscience and personality
Personality and individual differences originate from the brain. Despite major advances in
the affective and cognitive neurosciences, however, it is still not well understood how …
the affective and cognitive neurosciences, however, it is still not well understood how …
Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status
Cognitive impairments like memory disorder and depressive disorders lead to fatal
consequences if proper attention is not given to such health hazards. Their impact is …
consequences if proper attention is not given to such health hazards. Their impact is …
Scan once, analyse many: using large open-access neuroimaging datasets to understand the brain
CR Madan - Neuroinformatics, 2022 - Springer
We are now in a time of readily available brain imaging data. Not only are researchers now
sharing data more than ever before, but additionally large-scale data collecting initiatives …
sharing data more than ever before, but additionally large-scale data collecting initiatives …