IEEE Trans Pattern Anal Mach Intell
February 2023
This paper proposes Attribute-Decomposed GAN (ADGAN) and its enhanced version (ADGAN++) for controllable image synthesis, which can produce realistic images with desired attributes provided in various source inputs. The core ideas of the proposed ADGAN and ADGAN++ are both to embed component attributes into the latent space as independent codes and thus achieve flexible and continuous control of attributes via mixing and interpolation operations in explicit style representations. The major difference between them is that ADGAN processes all component attributes simultaneously while ADGAN++ utilizes a serial encoding strategy.
View Article and Find Full Text PDFTraumatic spinal cord injury (SCI) is a devastating condition marked by permanent motor, sensory, and autonomic dysfunction, in which the inflammatory response serves an important and preventable role. High mobility group box-1 (HMGB1) is a potent regulator of inflammation in numerous acute and chronic inflammatory conditions.; however, the role of HMGB1 in SCI remains unclear.
View Article and Find Full Text PDFBackground: Solitary cysticercus granuloma (SCG) is the commonest form of neurocysticercosis in the Indian subcontinent and in travelers. Several different treatment options exist for SCG. We conducted a Bayesian network meta-analysis of randomized clinical trials (RCTs) to identify the best treatment option to prevent seizure recurrence and promote lesion resolution for patients with SCG.
View Article and Find Full Text PDFWe report a case of hypereosinophilic syndrome in a 47-year-old man who had acute pneumothorax as the initial presentation. Peripheral blood eosinophil count increased continuously over a period of 1 month and was associated with pulmonary changes and appearance of skin lesions on the right chest wall. Idiopathic hypereosinophilic syndrome was confirmed by bone marrow aspiration biopsy and skin lesion biopsy after exclusion of all possible secondary etiologies.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
May 2012
This paper proposes the Flickr Distance (FD) to measure the visual correlation between concepts. For each concept, a collection of related images are obtained from the Flickr website. We assume that each concept consists of several states, e.
View Article and Find Full Text PDFStudy Design: To examine the localization and expression of high-mobility group box-1 (HMGB-1) protein and its receptors after rat spinal cord injury.
Objective: To elucidate the contribution of HMGB-1 and its receptors as potential candidates in a specific upstream pathway to the proinflammatory response leading to a cascade of secondary tissue damage after spinal cord injury.
Summary Of Background Data: HMGB-1 was recently characterized as a key cytokine with a potential role in nucleosome formation and regulation of gene transcription.
Study Design: To examine the effects of a tumor necrosis factor (TNF)-α antagonist (etanercept) on rat spinal cord injury and identify a possible mechanism for its action.
Objective: To elucidate the contribution of etanercept to the pathologic cascade in spinal cord injury and its possible suppression of neuronal and oligodendroglial apoptosis.
Summary Of Background Data: Etanercept has been recently used successfully for treatment of inflammatory disorders.
Nerve growth factor (NGF) and its high-affinity receptor, TrkA, are one of the targets in the production of new drugs for the treatment of neuropathic pain. NGF contributes to both the initiation and maintenance of sensory abnormalities after peripheral nerve injury. This study examined the effects of IPTRK3, a new synthetic cell-penetrating peptide that antagonizes TrkA function, on neuropathic pain in mice.
View Article and Find Full Text PDFAlthough it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results. Some 2.
View Article and Find Full Text PDFIEEE Trans Neural Netw
October 2012
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two clusters. Images inside the boundary are ranked by their Euclidean distances to the query.
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