Brachial plexopathy is a type of peripheral neuropathy. Injuries to the brachial plexus can be classified according to their severity, ranging from neuropraxia, the mildest form, to axonotmesis and neurotmesis, the most severe forms. The causes of brachial plexopathy include traumatic and non-traumatic injuries. Because the brachial plexus can sustain various types of injuries, different imagin...

Cross-modality fusing complementary information of multispectral remote sensing image pairs can improve the perception ability detection algorithms, making them more robust and reliable for a wider range applications, such as nighttime detection. Compared with prior methods, we think different features should be processed specifically, modality-specific retained enhanced, while modality-shared ...

INTRODUCTION Spinal epidural lipomatosis (SEL) is a rare condition that presents with progressive spinal cord or nerve root compression. It is commonly reported in patients receiving long-term exogenous steroid therapy or in patients with endogenous steroid overproduction. The occurrence of this condition as an idiopathic entity is rarely reported. CASE PRESENTATION The authors present the cl...

BACKGROUND Spontaneous intracranial hypotension (SIH) due to cerebrospinal fluid (CSF) leakage at C1-2 poses diagnostic and therapeutic challenges to spine surgeons. Although computed tomography (CT) myelography has been the diagnostic imaging modality of choice for identifying the CSF leakage point, extradural CSF collection at C1-2 on conventional CT myelography or magnetic resonance imaging ...

Ultrasound vibro-acoustography is a novel medical imaging modality that combines the high resolution of high-frequency ultrasound with the speckle-free images obtained using lowfrequency methods. This imaging modality relies on the nonlinear interaction of two high frequency beams at slightly different frequencies. We describe the physics of ultrasound vibroacoustography and outline a strategy ...

RGB-infrared person re-identification is an emerging cross-modality task, which very challenging due to significant modality discrepancy between RGB and infrared images. In this work, we propose a novel modality-adaptive mixup invariant decomposition (MID) approach for towards learning modality-invariant discriminative representations. MID designs scheme generate suitable mixed images mitigatin...

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