Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

J Li, J Chen, Y Tang, C Wang, BA Landman… - Medical image …, 2023 - Elsevier
Transformer, one of the latest technological advances of deep learning, has gained
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 …

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

A Babayan, M Erbey, D Kumral, JD Reinelt, AMF Reiter… - Scientific data, 2019 - nature.com
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 …

The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses

L Snoek, MM van der Miesen, T Beemsterboer… - Scientific data, 2021 - nature.com
Abstract We present the Amsterdam Open MRI Collection (AOMIC): three datasets with
multimodal (3 T) MRI data including structural (T1-weighted), diffusion-weighted, and …

Prediction of stimulus-independent and task-unrelated thought from functional brain networks

A Kucyi, M Esterman, J Capella, A Green… - Nature …, 2021 - nature.com
Neural substrates of “mind wandering” have been widely reported, yet experiments have
varied in their contexts and their definitions of this psychological phenomenon, limiting …

A naturalistic neuroimaging database for understanding the brain using ecological stimuli

S Aliko, J Huang, F Gheorghiu, S Meliss, JI Skipper - Scientific Data, 2020 - nature.com
Neuroimaging has advanced our understanding of human psychology using reductionist
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

E Silvestri, M Moretto, S Facchini… - Brain …, 2022 - academic.oup.com
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 …

Network neuroscience and personality

S Markett, C Montag, M Reuter - Personality Neuroscience, 2018 - cambridge.org
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 …

Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status

S Swati, M Kumar, S Namasudra - Information Processing & Management, 2022 - Elsevier
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 …

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 …