- Video Coding and Compression Technologies
- Advanced Data Compression Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Mosquito-borne diseases and control
- Malaria Research and Control
- Tryptophan and brain disorders
- Complement system in diseases
- Advanced Image and Video Retrieval Techniques
- Genetics and Neurodevelopmental Disorders
- Bipolar Disorder and Treatment
- Image Enhancement Techniques
- Diet and metabolism studies
- Vector-borne infectious diseases
- Blockchain Technology Applications and Security
- Generative Adversarial Networks and Image Synthesis
- Electromagnetic Compatibility and Noise Suppression
- Epigenetics and DNA Methylation
- Digital Mental Health Interventions
- Stress Responses and Cortisol
- 3D IC and TSV technologies
- Mental Health Research Topics
- Genetic Associations and Epidemiology
- Genetic Syndromes and Imprinting
- Gallbladder and Bile Duct Disorders
Deakin University
2020-2025
Barwon Health
2020-2024
Boston Scientific (United States)
2023
Georgia Institute of Technology
2022-2023
Emory University
2022
Intel (Taiwan)
2022
Walter and Eliza Hall Institute of Medical Research
2020-2022
Johns Hopkins University
2022
The University of Melbourne
2020-2021
Control Vision (United States)
2019
AV1 is an emerging open-source and royalty-free video compression format, which jointly developed finalized in early 2018 by the Alliance for Open Media (AOMedia) industry consortium. The main goal of development to achieve substantial gain over state-of-the-art codecs while maintaining practical decoding complexity hardware feasibility. This paper provides a brief technical overview key coding techniques along with preliminary performance comparison against VP9 HEVC.
Abstract Despite recent progress, the challenges in drug discovery for schizophrenia persist. However, computational repurposing has gained popularity as it leverages wealth of expanding biomedical databases. Network analyses provide a comprehensive understanding transcription factor (TF) regulatory effects through gene networks, which capture interactions between TFs and target genes by integrating various lines evidence. Using PANDA algorithm, we examined topological variances TF-gene...
Abstract Baicalin is a flavone glycoside derived from flowering plants belonging to the Scutellaria genus. Previous studies have reported baicalin’s anti-inflammatory and neuroprotective properties in rodent models, indicating potential of baicalin neuropsychiatric disorders where alterations numerous processes are observed. However, extent therapeutic effects remains undetermined human cell model, more specifically, neuronal cells mimic brain environment vitro. As proof concept, we treated...
Deep learning provides a great potential for in-loop filtering to improve both coding efficiency and subjective quality in video coding. State-of-the-art work focuses on network structure design employs single powerful solve all problems. In contrast, this paper proposes deep based systematic approach that includes an effective Convolutional Neural Network (CNN) structure, hierarchical training strategy, codec oriented switchable mechanism. First, we propose novel CNN i.e.,...
In 2018, the Alliance for Open Media (AOMedia) finalized its first video compression format AV1, which is jointly developed by industry consortium of leading technology companies.The main goal AV1 to provide an open source and royalty-free coding that substantially outperforms state-of-the-art codecs available on market in efficiency while remaining practical decoding complexity as well being optimized hardware feasibility scalability modern devices.To give detailed insights into how...
The aim of this study was to repurpose a drug for the treatment bipolar depression.
Recent reports suggest a link between positive regulation of the Hippo pathway with bipolar disorder (BD), and is known to interact multiple other signaling pathways previously associated BD psychiatric disorders. In this study, neuronal-like NT2 cells were treated amisulpride (10 µM), aripiprazole (0.1 clozapine lamotrigine (50 lithium (2.5 mM), quetiapine risperidone valproate (0.5 or vehicle control for 24 h. Genome-wide mRNA expression was quantified analyzed using gene set enrichment...
Altered protein synthesis has been implicated in the pathophysiology of several neuropsychiatric disorders, particularly schizophrenia. Ribosomes are machinery responsible for synthesis. However, there remains little information on whether current psychotropic drugs affect ribosomes and contribute to their therapeutic effects. We treated human neuronal-like (NT2-N) cells with amisulpride (10 µM), aripiprazole (0.1 clozapine lamotrigine (50 lithium (2.5 mM), quetiapine risperidone valproate...
Assessing candidate gene sequence variations and expression helps to understand methamphetamine use disorder inform potential treatments. We investigated single nucleotide polymorphisms (SNPs) in four genes:
Focal adhesions and their dynamic nature are essential for various physiological processes, including the formation of neurites, synaptic function plasticity. Alterations in these processes have been associated with schizophrenia bipolar disorder. This study aimed to explore impact pharmacological treatments used disorder on expression genes involved focal adhesion pathway, addressing a gap understanding interaction between medication effects disease pathophysiology. NT2-N (neuron-like)...
Accumulation of fat in the liver and skeletal muscle is associated with obesity poor health outcomes. Liver steatosis a characteristic non-alcoholic fatty disease (NAFLD) myosteatosis, quality sarcopenia. In this study 403 men (33-96 years), we investigated associations between index (FLI) density, as markers accumulation these organs. We also FLI parameters sarcopenia, including DXA-derived appendicular lean mass (ALM) handgrip strength by dynamometry. Muscle density was measured using pQCT...
Google started an opensource project, entitled the WebM Project, in 2010 to develop royaltyfree video codecs for web. The present generation codec developed project called VP9 was finalized mid2013 and is currently being served extensively by YouTube, resulting billions of views per day. Even though adoption outside still its infancy, has already embarked on ambitious a next edition VP10 that achieves at least generational bitrate reduction over current VP9. Although early stages, set new...
Convolution neural network (CNN) has shown its great success in video quality enhancement. Existing methods mainly conduct enhancement tasks the spatial domain, exploring pixel correlations within one frame. Taking advantage of similarity across successive frames, this paper develops a learning-based multi-frame approach, with an aim to explore greatest potential for leveraging temporal correlation. First, we apply optical flow compensate motion neighboring frames. Afterwards, deep CNN...
Multiplexed bead-based assays that use Luminex ® xMAP technology have become popular for measuring antibodies against proteins of interest in many fields, including malaria and more recently SARS-CoV-2/COVID-19. There are currently two formats widely used: non-magnetic beads or magnetic beads. Data lacking regarding the comparability results obtained using these types beads, run on different instruments. Whilst can only be flow-based instruments (such as 100/200™ Bio-Plex 200), both newer...
Abstract Background Plasmodium vivax ( P. ) is the dominant spp. causing disease malaria in low-transmission regions outside of Africa. These often feature high proportions asymptomatic patients with sub-microscopic parasitaemia and relapses. Naturally acquired antibody responses are induced after infection, providing partial protection against clinical episodes. However, previous work has failed to address presence maintenance such particularly regions. Methods We followed 34 western...
Convolutional neural networks (CNNs)-based video quality enhancement generally employs optical flow for pixelwise motion estimation and compensation, followed by utilizing motion-compensated frames jointly exploring the spatiotemporal correlation across to facilitate enhancement. This method, called optical-flow-based method (OPT), usually achieves high accuracy at expense of computational complexity. In this article, we develop a new framework, referred as biprediction-based multiframe...
Long non-coding RNAs (lncRNAs) may play a role in psychiatric diseases including bipolar disorder (BD). We investigated mRNA-lncRNA co-expression patterns neuronal-like cells treated with widely prescribed BD medications. The aim was to unveil insights into the complex mechanisms of medications and highlight potential targets for new drug development. Human (NT2-N) were either lamotrigine, lithium, quetiapine, valproate or vehicle 24 h. Genome-wide mRNA expression quantified weighted gene...
Bipolar disorder (BD) presents significant challenges in drug discovery, necessitating alternative approaches. Drug repurposing, leveraging computational techniques and expanding biomedical data, holds promise for identifying novel treatment strategies. This study utilized gene regulatory networks (GRNs) to identify changes BD, using network-based signatures repurposing. Employing the PANDA algorithm, we investigated variations transcription factor-GRNs between individuals with BD unaffected...
Weight gain and consequent metabolic alterations are common side-effects of many antipsychotic drugs. Interestingly, several studies have suggested that improvement in symptoms adverse effects correlated. We used next generation sequencing data from NT-2 (human neuronal) cells treated with aripiprazole, amisulpride, risperidone, quetiapine, clozapine, or vehicle control, compared the Pillinger P-score (ranked 0 to 1, indicating greater increase weight related parameters) identify genes most...
Abstract To achieve malaria elimination, new tools are required to explicitly target Plasmodium vivax. Recently, a novel panel of P. vivax proteins were identified and validated as serological markers for detecting recent exposure within the last 9 months. In order improve sensitivity specificity these markers, immunoglobulin M (IgM) in addition G (IgG) antibody responses compared with down-selected 20 proteins. IgM was tested using archival plasma samples from observational cohort studies...