Military traumatic brain injury: a challenge straddling neurology and psychiatry
LZ Kong, RL Zhang, SH Hu, JB Lai - Military medical research, 2022 - Springer
Military psychiatry, a new subcategory of psychiatry, has become an invaluable, intangible
effect of the war. In this review, we begin by examining related military research …
effect of the war. In this review, we begin by examining related military research …
Traumatic brain injury: imaging patterns and complications
AD Schweitzer, SN Niogi, CT Whitlow, AJ Tsiouris - Radiographics, 2019 - pubs.rsna.org
While the diagnosis of traumatic brain injury (TBI) is a clinical decision, neuroimaging
remains vital for guiding management on the basis of identification of intracranial pathologic …
remains vital for guiding management on the basis of identification of intracranial pathologic …
Fast unsupervised brain anomaly detection and segmentation with diffusion models
Deep generative models have emerged as promising tools for detecting arbitrary anomalies
in data, dispensing with the necessity for manual labelling. Recently, autoregressive …
in data, dispensing with the necessity for manual labelling. Recently, autoregressive …
[HTML][HTML] Unsupervised brain imaging 3D anomaly detection and segmentation with transformers
Pathological brain appearances may be so heterogeneous as to be intelligible only as
anomalies, defined by their deviation from normality rather than any specific set of …
anomalies, defined by their deviation from normality rather than any specific set of …
[HTML][HTML] Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural
Network for the challenging task of brain lesion segmentation. The devised architecture is …
Network for the challenging task of brain lesion segmentation. The devised architecture is …
Big data analysis for brain tumor detection: Deep convolutional neural networks
J Amin, M Sharif, M Yasmin, SL Fernandes - Future Generation Computer …, 2018 - Elsevier
Brain tumor detection is an active area of research in brain image processing. In this work, a
methodology is proposed to segment and classify the brain tumor using magnetic resonance …
methodology is proposed to segment and classify the brain tumor using magnetic resonance …
Novel approach to classify brain tumor based on transfer learning and deep learning
Transfer learning strategies were used to develop a unique method in the field of medicine.
Investigation in this study suggests an ensemble technique for early brain tumor detection …
Investigation in this study suggests an ensemble technique for early brain tumor detection …
Deep learning applications for acute stroke management
IR Chavva, AL Crawford, MH Mazurek… - Annals of …, 2022 - Wiley Online Library
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of
disability and death worldwide. Whereas advanced neuroimaging techniques offer …
disability and death worldwide. Whereas advanced neuroimaging techniques offer …
[HTML][HTML] Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction
Recent contributions to the body of knowledge on traumatic brain injury (TBI) favor the view
that multimodal neuroimaging using structural and functional magnetic resonance imaging …
that multimodal neuroimaging using structural and functional magnetic resonance imaging …
The challenge of mild traumatic brain injury: role of biochemical markers in diagnosis of brain damage
S Mondello, K Schmid, RP Berger… - Medicinal research …, 2014 - Wiley Online Library
During the past decade there has been an increasing recognition of the incidence of mild
traumatic brain injury (mTBI) and a better understanding of the subtle neurological and …
traumatic brain injury (mTBI) and a better understanding of the subtle neurological and …