AIMC Topic: Diffusion
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.
Physics in medicine and biology
Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Pixel super-resolved virtual staining of label-free tissue using diffusion models.
Nature communications
May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
DihedralsDiff: A Diffusion Conformation Generation Model That Unifies Local and Global Molecular Structures.
Journal of chemical information and modeling
May 20, 2025
Significant advancements have been made in utilizing artificial intelligence to learn to generate molecular conformations, which has greatly facilitated the discovery of drug molecules. In particular, the rapid development of diffusion models has led...
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.
Nature methods
May 8, 2025
Subcellular diffusion in living systems reflects cellular processes and interactions. Recent advances in optical microscopy allow the tracking of this nanoscale diffusion of individual objects with unprecedented precision. However, the agnostic and a...
Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.
Medical physics
Apr 9, 2025
BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment abnormal regions, such as cerebral edema and hemorrhages, using only healthy training data. Recent advancements in generative models have achieved suc...
AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction.
Journal of chemical information and modeling
Feb 11, 2025
Accurate prediction of molecular geometries is crucial for drug discovery and materials science. Existing fast conformer prediction algorithms often rely on approximate empirical energy functions, resulting in low accuracy. More accurate methods like...
Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.
Biophysical journal
Feb 6, 2025
The random motion of molecules in living cells has consistently been reported to deviate from standard Brownian motion, a behavior coined as "anomalous diffusion." To study this phenomenon in living cells, fluorescence correlation spectroscopy (FCS) ...
Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides.
Science advances
Feb 5, 2025
Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however, current models face limitations in generating AMPs with sufficient novelty and diversity, and they are rarely applied to the generation of antifunga...
Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
In the past decade, Artificial Intelligence (AI) driven drug design and discovery has been a hot research topic in the AI area, where an important branch is molecule generation by generative models, from GAN-based models and VAE-based models to the l...
Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.
Advanced materials (Deerfield Beach, Fla.)
Nov 27, 2024
Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock freque...
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