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Article
Open AccessExtracellular vesicle encapsulated Homer1a as novel nanotherapeutics against intracerebral hemorrhage in a mouse model
Homer1a and A2 astrocytes are involved in the regulation of inflammation induced by intracerebral hemorrhage (ICH). However, there is no anticipated treatment strategy based on the anti-inflammatory effect of ...
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Article
Open AccessHomer1 ameliorates ischemic stroke by inhibiting necroptosis-induced neuronal damage and neuroinflammation
Proinflammatory necroptosis is the main pathological mechanism of ischemic stroke. Homer scaffolding protein 1 (Homer1) is a postsynaptic scaffolding protein that exerts anti-inflammatory effects in most centr...
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Article
Longitudinal assessment of placental perfusion in normal and hypertensive pregnancies using pseudo-continuous arterial spin–labeled MRI: preliminary experience
To evaluate longitudinal placental perfusion using pseudo-continuous arterial spin–labeled (pCASL) MRI in normal pregnancies and in pregnancies affected by chronic hypertension (cHTN), who are at the greatest ...
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Article
Open AccessTRIM22 promotes the proliferation of glioblastoma cells by activating MAPK signaling and accelerating the degradation of Raf-1
The tripartite motif (TRIM) 22 and mitogen-activated protein kinase (MAPK) signaling pathways play critical roles in the growth of glioblastoma (GBM). However, the molecular mechanism underlying the relationsh...
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Article
Extended reality for biomedicine
Extended reality (XR) refers to an umbrella of methods that allows users to be immersed in a 3D or a 4D (spatial + temporal) virtual environment to various extents, including virtual reality (VR), augmented re...
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Article
Open AccessHomer1 promotes the conversion of A1 astrocytes to A2 astrocytes and improves the recovery of transgenic mice after intracerebral hemorrhage
Inflammation induced by intracerebral hemorrhage (ICH) is one of the main causes of the high mortality and poor prognosis of patients with ICH. A1 astrocytes are closely associated with neuroinflammation and n...
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Chapter and Conference Paper
Federated Learning for Brain Tumor Segmentation Using MRI and Transformers
This work focuses on training a deep learning network in a federated learning framework. The Federated Tumor Segmentation Challenge has 2 separate tasks. Task-1 was to design an aggregation logic for a given n...
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Chapter and Conference Paper
Disparity Autoencoders for Multi-class Brain Tumor Segmentation
Multi-class brain tumor segmentation is important for predicting the aggressiveness and treatment response of gliomas
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Chapter and Conference Paper
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation
In this work, we developed multiple 2D and 3D segmentation models with multiresolution input to segment brain tumor components and then ensembled them to obtain robust segmentation maps. Ensembling reduced ove...
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Article
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases
The common CT imaging signs of lung diseases (CISLs) which frequently appear in lung CT images are widely used in the diagnosis of lung diseases. Computer-aided diagnosis (CAD) based on the CISLs can improve r...
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Chapter and Conference Paper
Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI
Tumor segmentation of magnetic resonance images is a critical step in providing objective measures of predicting aggressiveness and response to therapy in gliomas. It has valuable applications in diagnosis, mo...
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Chapter and Conference Paper
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation
In this work, we developed multiple 2D and 3D segmentation models with multiresolution input to segment brain tumor components and then ensembled them to obtain robust segmentation maps. Ensembling reduced ove...
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Article
Open AccessHistopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous Neoplasia
Hyperspectral imaging (HSI) is a noninvasive optical modality that holds promise for early detection of tongue lesions. Spectral signatures generated by HSI contain important diagnostic information that can be...
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Article
Open AccessThe role of Toll-like receptor 4 in apoptosis of brain tissue after induction of intracerebral hemorrhage
Inflammation and apoptosis caused by intracerebral hemorrhage (ICH) are two important factors that affect patient prognosis and survival. Toll-like receptor 4 (TLR4) triggers activation of the inflammatory pat...
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Article
Open AccessAdaptive deep learning for head and neck cancer detection using hyperspectral imaging
It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...
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Article
Open AccessHead and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks
Primary management for head and neck cancers, including squamous cell carcinoma (SCC), involves surgical resection with negative cancer margins. Pathologists guide surgeons during these operations by detecting...
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Article
Imaging technologies for cardiac fiber and heart failure: a review
There has been an increasing interest in studying cardiac fibers in order to improve the current knowledge regarding the mechanical and physiological properties of the heart during heart failure (HF), particul...
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Article
Molecular imaging and fusion targeted biopsy of the prostate
This paper provides a review on molecular imaging with positron emission tomography (PET) and magnetic resonance imaging (MRI) for prostate cancer detection and its applications in fusion targeted biopsy of th...
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Chapter and Conference Paper
Histogram Processing-based Image Enhancement of Digital Radiography for Detection of Cardiac Calcification
We are investigating histogram processing based image enhancement techniques to improve the ability of digital radiography (DR) for the detection of cardiac calcification. Computed tomography (CT) is an establ...
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Article
Assessment of Coronary Artery Calcium Using Dual-Energy Subtraction Digital Radiography
Cardiovascular disease is the leading cause of global mortality, yet its early detection remains a vexing problem of modern medicine. Although the computed tomography (CT) calcium score predicts cardiovascular...
