William Chan

ORCID: 0000-0001-9684-888X
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About
Contact & Profiles
Research Areas
  • Acute Myocardial Infarction Research
  • Coronary Interventions and Diagnostics
  • Cardiac Imaging and Diagnostics
  • Cardiac Arrest and Resuscitation
  • Mechanical Circulatory Support Devices
  • Cardiac Structural Anomalies and Repair
  • Cardiac, Anesthesia and Surgical Outcomes
  • Antiplatelet Therapy and Cardiovascular Diseases
  • Radiology practices and education
  • Cardiovascular Function and Risk Factors
  • Cardiac Health and Mental Health
  • Radiation Dose and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Heart Failure Treatment and Management
  • Health Systems, Economic Evaluations, Quality of Life
  • Vascular Procedures and Complications
  • Cardiac Valve Diseases and Treatments
  • Macrophage Migration Inhibitory Factor
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Lipoproteins and Cardiovascular Health
  • Cardiovascular Disease and Adiposity
  • Topic Modeling
  • Atrial Fibrillation Management and Outcomes
  • Venous Thromboembolism Diagnosis and Management

Western Health
2016-2025

The University of Melbourne
2017-2025

The Alfred Hospital
2016-2025

National Heart Foundation of Australia
2025

National Health and Medical Research Council
2025

University of Maryland, Baltimore
2025

Boston Children's Hospital
2024

Alfred Health
2016-2024

Baker Heart and Diabetes Institute
2012-2024

Monash University
2012-2024

We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and deep level language understanding. Imagen builds on the power large transformer models in understanding text hinges strength high-fidelity image generation. Our key discovery is that generic (e.g. T5), pretrained text-only corpora, are surprisingly effective at encoding for synthesis: increasing size boosts both sample fidelity image-text alignment much more than model. achieves new...

10.48550/arxiv.2205.11487 preprint EN other-oa arXiv (Cornell University) 2022-01-01

We present Imagen Video, a text-conditional video generation system based on cascade of diffusion models. Given text prompt, Video generates high definition videos using base model and sequence interleaved spatial temporal super-resolution describe how we scale up the as text-to-video including design decisions such choice fully-convolutional models at certain resolutions, v-parameterization In addition, confirm transfer findings from previous work diffusion-based image to setting. Finally,...

10.48550/arxiv.2210.02303 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Generating temporally coherent high fidelity video is an important milestone in generative modeling research. We make progress towards this by proposing a diffusion model for generation that shows very promising initial results. Our natural extension of the standard image architecture, and it enables jointly training from data, which we find to reduce variance minibatch gradients speed up optimization. To generate long higher resolution videos introduce new conditional sampling technique...

10.48550/arxiv.2204.03458 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Text-guided image editing can have a transformative impact in supporting creative applications. A key challenge is to generate edits that are faithful input text prompts, while consistent with images. We present Imagen Editor, cascaded diffusion model built, by fine-tuning [36] on text-guided inpainting. Editor's the which accomplished using object detectors propose inpainting masks during training. In addition, Editor captures fine details conditioning pipeline original high resolution...

10.1109/cvpr52729.2023.01761 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023-06-01

Given two images depicting a person and garment worn by another person, our goal is to generate visualization of how the might look on input person. A key challenge synthesize photorealistic detail-preserving garment, while warping accommodate significant body pose shape change across subjects. Previous methods either focus detail preservation without effective variation, or allow tryon with desired but lack details. In this paper, we propose diffusion-based architecture that unifies UN ets...

10.1109/cvpr52729.2023.00447 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023-06-01

1. Since important interrelationships between haemodynamic and hormone indices are possible in cardiac failure, measurements of output, mean pulmonary artery pressure, plasma renin activity, angiotensin II aldosterone were carried out before during acute chronic frusemide therapy patients with oedematous heart failure who had been given digoxin. 2. Cardiac output fell significantly 90 min after injection, then returned to baseline. Mean pressure declined steadily throughout the 4 h...

10.1042/cs0590443 article EN Clinical Science 1980-12-01

We present 3DiM, a diffusion model for 3D novel view synthesis, which is able to translate single input into consistent and sharp completions across many views. The core component of 3DiM pose-conditional image-to-image model, takes source its pose as inputs, generates target output. can generate multiple views that are using technique called stochastic conditioning. output generated autoregressively, during the generation each view, one selects random conditioning from set available at...

10.48550/arxiv.2210.04628 preprint EN cc-by arXiv (Cornell University) 2022-01-01

We introduce Noise2Music, where a series of diffusion models is trained to generate high-quality 30-second music clips from text prompts. Two types models, generator model, which generates an intermediate representation conditioned on text, and cascader high-fidelity audio the possibly are utilized in succession music. explore two options for representation, one using spectrogram other with lower fidelity. find that generated not only able faithfully reflect key elements prompt such as...

10.48550/arxiv.2302.03917 preprint EN cc-by-sa arXiv (Cornell University) 2023-01-01

Invasive CFT is the gold standard for diagnosing coronary vasomotor dysfunction in patients with ANOCA. Most institutions recommend only testing left circulation. Therefore, it unknown whether multiple territories would increase diagnostic yield. The aim of this study was to evaluate yield multivessel, compared single-vessel, invasive function (CFT) angina and nonobstructive arteries (ANOCA). Multivessel systematically performed suspected Vasoreactivity using acetylcholine provocation (20...

10.1016/j.jcin.2024.03.007 article EN cc-by КАРДИОЛОГИЯ УЗБЕКИСТАНА 2024-05-01

Background— Experimental studies suggest that deferoxamine (DFO) limits the generation of reactive oxygen species by chelating redox-active iron and thereby may reduce ischemia-reperfusion injury myocardial infarct (MI) size. We investigated whether DFO administered before reperfusion primary percutaneous coronary intervention (PPCI) would ameliorate oxidative stress MI Methods Results— randomly assigned 60 patients with ST-elevation–MI to receive an intravenous bolus (500 mg) immediately...

10.1161/circinterventions.111.966226 article EN Circulation Cardiovascular Interventions 2012-04-01

Abstract Background and Aims The optimal revascularization strategy in patients with ischaemic cardiomyopathy remains unclear no contemporary randomized trial data to guide clinical practice. This study aims assess long-term survival severe revascularized by either coronary artery bypass grafting (CABG) or percutaneous intervention (PCI). Methods Using the Australian New Zealand Society of Cardiac Thoracic Surgeons Melbourne Interventional Group registries (from January 2005 2018), [left...

10.1093/eurheartj/ehae672 article EN European Heart Journal 2024-09-20

ObjectivesMacrophage migration inhibitory factor (MIF), a pro-inflammatory cytokine, has been implicated in the pathogenesis of multiple inflammatory disorders. We determined changes circulating MIF levels, explored cellular source MIF, and studied role mediating responses following acute myocardial infarction (MI). Methods ResultsWe recruited 15 patients with MI, 10 stable angina healthy volunteers measured temporal plasma. Expression matrix metalloproteinase-9 (MMP-9) interleukin-6 (IL-6)...

10.1371/journal.pone.0076206 article EN cc-by PLoS ONE 2013-10-01

Early diagnosis and knowledge of infarct size is critical for the management acute myocardial infarction (MI). We evaluated whether early elevated plasma level macrophage migration inhibitory factor (MIF) useful these purposes in patients with ST-elevation MI (STEMI).We first studied MIF myocardium mice determined size. 15 or 60 minutes resulted 2.5-fold increase over control values levels while content ischemic reduced by 50% correlated myocardium-at-risk at both time-points (P < 0.01). In...

10.1161/jaha.113.000226 article EN cc-by-nc-nd Journal of the American Heart Association 2013-09-26

Background: Low socioeconomic status (SES) has been previously shown to be associated with worse cardiovascular outcomes. However, unlike in Australia, many of these studies have performed countries without universal healthcare where SES may expected a greater impact on care and We sought determine whether there is an association between baseline characteristics, clinical outcomes use secondary prevention therapy patients ST-segment–elevation myocardial infarction undergoing percutaneous...

10.1161/circoutcomes.118.004979 article EN Circulation Cardiovascular Quality and Outcomes 2019-01-01

We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising diffusion probabilistic models conditional generation and performs super-resolution through a stochastic process. Inference starts with pure Gaussian noise iteratively refines the noisy output using U-Net model trained on at various levels. exhibits strong performance tasks different magnification factors, faces natural images. conduct human evaluation standard 8X face task CelebA-HQ,...

10.48550/arxiv.2104.07636 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, Rj Mical, Mohammad Norouzi, Noah Constant. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2023.

10.18653/v1/2023.acl-long.900 article EN cc-by 2023-01-01

Abstract Objectives Early tobacco use (before age 11) is linked to poorer cognition and reduced cortical surface area volume in young adolescents. This study examined how socioeconomic status (SES) factors – parental education, household income, economic hardships influenced these associations. Methods Using baseline (N=11,876) year 3 (N=10,414) datasets from the Adolescent Brain Cognitive Development study, we assessed impact of tobacco/nicotine initiation on cognitive scores, volume,...

10.1515/nipt-2024-0022 article EN NeuroImmune Pharmacology and Therapeutics 2025-04-01
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