14 papers · ranked by Valyu relevance
Minshuo Chen, Song Mei, Jianqing Fan, Mengdi Wang
Diffusion models, a powerful and universal generative artificial intelligence technology, have achieved tremendous success and opened up new possibilities in diverse applications. In these applications, diffusion models provide flexible high-dimensional data modeling, and act as a sampler for generating new samples…
Alex Ling Yu Hung, Kai Zhao, Haoxin Zheng, Ran Yan + 7 more
Conditional image generation plays a vital role in medical image analysis as it is effective in tasks such as super-resolution, denoising, and inpainting, among others. Diffusion models have been shown to perform at a state-of-the-art level in natural image generation, but they have not been thoroughly studied in…
Alexander Scheinker
Advanced accelerator-based light sources such as free electron lasers (FEL) accelerate highly relativistic electron beams to generate incredibly short (10s of femtoseconds) coherent flashes of light for dynamic imaging, whose brightness exceeds that of traditional synchrotron-based light sources by orders of magnitude.…
Jinhee Kwak, Jaehee Jung, Khursheed Aurangzeb
Electrocardiograms (ECGs) provide essential data for diagnosing arrhythmias, which can potentially cause serious health complications. Early detection through continuous monitoring is crucial for timely intervention. The Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia dataset employed…
Haotian Chen, Yiting Shen, Jichun Li, Weizhong Zhao
Fragment-based molecular generation has emerged as a promising paradigm in structure-based drug design (SBDD), deriving effective compounds with advanced properties, including chemical validity, synthetic feasibility, pharmacological relevance, etc. However, existing approaches often struggle with generating molecules…
Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang + 1 more
We use the classifier guidance method to perform conditional generation. This method does not interfere with the training of the denoising network model. Instead, the classifier is first trained separately by using condition labels like cell types and then provides gradients to guide cell generation. The classifier for…
Alzahra Altalib, Chunhui Li, Alessandro Perelli, Emilio Quaia
Title: Simple Summary Cone Beam Computed Tomography (CBCT) is widely used in radiotherapy because it is fast and relatively low dose, but its image quality is lower than that of conventional CT. Conditional diffusion models have recently been proposed to convert CBCT into synthetic CT with improved anatomical detail…
Authors not listed
Goal: To accurately detect infections in Diabetic Foot Ulcers (DFUs) using photographs taken at the Point of Care (POC). Achieving high performance is critical for preventing complications and amputations, as well as minimizing unnecessary emergency department visits and referrals. Methods: This paper proposes the…
Zheng Zhao, Ziwei Luo, Jens Sjölund, Thomas Schön
Generative diffusions are a powerful class of Monte Carlo samplers that leverage bridging Markov processes to approximate complex, high-dimensional distributions, such as those found in image processing and language models. Despite their success in these domains, an important open challenge remains: extending these…
Ahmed Abotaleb, Mohamed W. Fakhr, Mohamed Zaki
Multimodal Conditioned face image generation and face super-resolution are significant areas of research. To achieve optimal results, this paper utilizes diffusion models as the primary engine for these tasks. This paper presents two main contributions: (1) “Speaking the Language of Faces” (SLF): a flexible, modular…
Yuichi Itto, Vladimir Aristov
A conditional entropic approach is discussed for nonequilibrium complex systems with a weak correlation between spatiotemporally fluctuating quantities on a large time scale. The weak correlation is found to constitute the fluctuation distribution that maximizes the entropy associated with the conditional fluctuations.…
Amirafshar Moshtaghpour, Abner Velazco‐Torrejon, Daniel Nicholls, Alex W. Robinson + 2 more
'Alex W. Robinson' 'Angus I. Kirkland' 'Nigel D. Browning'] Title: Abstract Despite the widespread use of Scanning Transmission Electron Microscopy (STEM) for observing the structure of materials at the atomic scale, a detailed understanding of some relevant electron beam damage mechanisms is limited. Recent reports…
Yunyun Li, Vyacheslav R. Misko, Fabio Marchesoni, Pulak K. Ghosh + 1 more
'Johan Anderson'] We numerically investigate the transport of a Brownian colloidal particle in a square array of planar counter-rotating convection rolls at high Péclet numbers. We show that an external force produces huge excess peaks of the particle’s diffusion constant with a height that depends on the force…
Pier Giovanni Bissiri, Stephen G. Walker
The current definition of a conditional probability enables one to update probabilities only on the basis of stochastic information. This paper provides a definition for conditional probability with non-stochastic information. The definition is derived by a set of axioms, where the information is connected to the…