A5090509008- Advanced Image Fusion Techniques
- Advanced Image Processing Techniques
- Advanced biosensing and bioanalysis techniques
- Urinary Bladder and Prostate Research
- Remote Sensing in Agriculture
- Hormonal and reproductive studies
- Advanced Vision and Imaging
- Liver Disease Diagnosis and Treatment
- Remote-Sensing Image Classification
- Liver Disease and Transplantation
- Cutaneous Melanoma Detection and Management
- Nuclear Physics and Applications
- Retinal and Optic Conditions
- Prostate Cancer Treatment and Research
- Osteoarthritis Treatment and Mechanisms
- AI in cancer detection
- Animal testing and alternatives
- Dental Research and COVID-19
- Retinal Imaging and Analysis
- Optical Coherence Tomography Applications
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Proteoglycans and glycosaminoglycans research
- Machine Learning and Algorithms
- Digital Imaging in Medicine
Veterans Health Administration
2024
South Florida Veterans Affairs Foundation for Research and Education
2017-2024
Universidad Nacional de Asunción
2023
Universitat Politècnica de Catalunya
2020-2022
Clínica e Instituto de Oftalmologia Ivo Corrêa Meyer
2021
University of Miami
2016-2018
Nova Southeastern University
2017
Miami VA Healthcare System
2010-2016
Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at 10 m of spatial resolution. These images, due to the open data distribution policy, are becoming an important resource for several applications. However, small scale studies, detail these might not be sufficient. On other hand, WorldView commercial offer a very high resolution, typically less than 2 m, but their use can impractical large areas or multi-temporal analysis cost. To exploit free...
Aim: We studied externally controlled anticancer effects of binding tumor growth inhibiting synthetic peptides to magnetoelectric nanoparticles (MENs) on treatment glioblastomas. Methods: Hydrothermally synthesized 30-nm MENs had the core–shell composition CoFe2O4@BaTiO3. Molecules hormone-releasing hormone antagonist MIA class (MIA690) were chemically bound MENs. In vitro experiments utilized human glioblastoma cells (U-87MG) and brain microvascular endothelial cells. Results: The studies...
Significance The current therapeutic approaches to the treatment of benign prostatic hyperplasia (BPH) do not take into consideration that inflammation is an important factor in pathogenesis this disease. We previously demonstrated growth hormone-releasing hormone (GHRH) antagonists reduce weights and decrease level inflammatory cytokines a testosterone-induced BPH model. This study sheds light on paracrine roles GHRH demonstrates stimulates BPH-1 primary prostate epithelial spheres volume...
The chemokine stromal cell-derived factor-1 (SDF-1) plays a critical role in mobilizing precursor cells the bone marrow and is essential for efficient vascular regeneration repair. We recently reported that calcium augments expression of receptor CXCR4 enhances angiogenic potential derived (BMCs). Neovascularization impaired by aging therefore we suggested may cause defects cellular responses to calcium. Indeed found both basal calcium-induced surface on BMCs was significantly reduced...
The production of highly accurate land cover maps is one the primary challenges in remote sensing, which depends on spatial resolution input images. Sometimes, high-resolution imagery not available or too expensive to large areas perform multitemporal analysis. In this context, we propose a multi-task network take advantage freely Sentinel-2 produce super-resolution image, with scaling factor 5, and corresponding map. Our proposal, named SEG-ESRGAN, consists two branches: branch, that...
Hepatic encephalopathy (HE) is a neurological condition linked to liver failure. Acute HE (Type A) occurs with acute failure, while chronic C) tied cirrhosis and portal hypertension. treatments lag due gaps in understanding its development by gender age. We studied how sex age impact severity combined toxins. Our findings indicate that drug-induced (thioacetamide, TAA) brain edema was more severe aged males than young or young/aged female rats. However, adding alcohol (ethanol, EtOH) worsens...
There is a growing interest in the development of automated data processing workflows that provide reliable, high spatial resolution land cover maps. However, high-resolution remote sensing images are not always affordable. Taking into account free availability Sentinel-2 satellite data, this work we propose deep learning model to generate segmentation maps from low-resolution inputs multi-task approach. Our proposal dual-network with two branches: Single Image Super-Resolution branch,...
Sentinel-2 satellites have become one of the main resources for Earth observation images because they are free charge, a great spatial coverage and high temporal revisit. senses same location providing different resolutions as well generating multi-spectral image with 13 bands 10, 20, 60 m/pixel. In this work, we propose single-image super-resolution model based on convolutional neural networks that enhances low-resolution (20 m m) to reach maximal resolution sensed (10 at time, whereas...
This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied aerial vegetation images from Teide National Park. It proposes Deep Seeded Region Growing system which consists on set seeds generated by Support Vector Machine. A region growing algorithm module is progressively increase pixel-level supervision. The proposed method performs better than an SVM, one most popular tools remote sensing image applications.
Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low is seen in of melanoma, causing the lesion to blend with surrounding skin. In addition, prevents certain details from being image. Therefore, it necessary design an approach that can enhance and dermoscopic images. this work, we propose a multi-scale morphological reduce impacts quality By top-hat reconstruction, local bright dark features are extracted The added subtracted way, higher...
CONNIE experiment installed 12 charge- coupled devices (CCDs) sensors near the Angra II nuclear reactor in dos Reis (Brazil) aiming to detect low energy antineutrinos produced core of reactor. For two years, these recorded particle images catching mainly muons and other particles such as electrons alphas that will be considered external radioactive background must removed. The were created from data taken every 3 hours, generating this way a vast catalog detected events on each CCD. In work...
Abstract Background: Despite significant progress in targeted drug delivery, glioblastoma is one of the least treatable tumors today. Delivering therapy across blood-brain barrier (BBB) and overcoming resistance tumor cells to current treatments remains a formidable task. The objective vitro vivo study was show how new class multifunctional nanoparticles termed magnetoelectric (MENs) are used achieve high-efficacy delivery therapeutic load BBB, then release on demand, without affecting...
In feature selection, redundancy is one of the major concerns since removal in data connected with dimensionality reduction. Despite evidence such a connection, few works present theoretical studies regarding redundancy. this work, we analyze effect redundant features on performance classification models. We can summarize contribution work as follows: (i) develop framework to construction and (ii) show that certain properly defined are but make linearly separable, (iii) propose formal...
Image segmentation is a fundamental task for automatic disease diagnostics, and UNET widely used architecture medical image segmentation. This because this relatively simple to implement obtains robust results. Currently there are several databases of melanocytic lesions, so determining which the amount data needed train on such an challenge. Another drawback often generate proper database, since ideal training requires large effort part professionals. In paper, we analyze impact lesion...
Background Several conditions and exposures have been hypothesized to serve as instigating events that precipitated the recurring/ chronic symptoms associated with Gulf War illness (GWI). Our group was focused on use of DFP chemicals which can be used produce models GWI. Purpose The objective in this new study determination influence cardiac (Echo), autonomic (spectral analysis) parameters association long term exercise training (6 months). Methods Male mice were divided into (n=8/group):...
Short-term electricity demand forecasting is a fundamental part of the decision-making process entities involved in consumption management, since it allows development strategies to deal with variations short periods time. Developing highly-accurate predictive model necessary understand and reflect behavior, as well adjust generation program essentially meet at each moment. Therefore, performance comparison has been made between statistical, machine learning deep models for short-term...
Solar radio bursts (SRB) play a crucial role in understanding solar activity and its influence on systems across the world. The classification of SRB into distinct types based morphology frequency drift requires vast data poses significant challenges for automated detection classification. In this paper, we introduce deep learning-based approach to address challenge by leveraging curated dataset from CALLISTO network ground-based astronomy station. A convolutional neural is trained identify...
You have accessJournal of UrologyBenign Prostatic Hyperplasia: Basic Research & Pathophysiology1 Apr 2017MP17-03 INFLAMMATION-INDUCED PROSTATIC ENLARGEMENT AND PROLIFERATION OF PROSTATE EPITHELIAL CELLS IS REDUCED BY GROWTH HORMONE-RELEASING HORMONE (GHRH) ANTAGONISTS THROUGH THE INHIBITION EPITHELIAL-TO-MESENCHYMAL TRANSITION Petra Popovics, Andrew Schally, Luis Salgueiro, Krisztina Kovacs, and Ferenc Rick PopovicsPetra Popovics More articles by this author , SchallyAndrew Schally...
Panoramic images are one of the most requested exams by dentists for allowing visualization entire mouth. Interpreting X-ray is a time-consuming task in which misdiagnoses can occur due to inexperience or fatigue professionals. In this work, we applied different image enhancement techniques as pre-processing step determine features correlate with improvements teeth detection panoramic using deep learning architectures. We contrasted performance five object-detection architectures 300 public...
The COVID-19 pandemic forced a concerted response from health services to lead reduction in care activity. It is strategy respond this problem centered on clinical provision and, simultaneously, the protection of community and professionals. However, direct indirect impact eye still unclear. Objective: To characterize complementary means diagnosis treatment (MCDT) at ophthalmology service monovalent hospital. Methods: Cross-sectional study quantify MCDT production before after reorganization...