GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Bioinformatics tools have been developed to interpret gene expression data at the gene set level, and these gene set based analyses improve the biologists' capability to discover functional relevance of their experiment design. While elucidating gene set
Chen, Hung-I Harry +5 more
core +3 more sources
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders [PDF]
Romit Maulik +2 more
openalex +1 more source
A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission
This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell +6 more
wiley +1 more source
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders [PDF]
Nina Shvetsova +4 more
openalex +1 more source
Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography
A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash +2 more
wiley +1 more source
A Method for Image Anomaly Detection Based on Distillation and Reconstruction
Image anomaly detection is a trending research topic in computer vision. The objective is to build models using available normal samples to detect various abnormal images without depending on real abnormal samples.
Jiaxiang Luo, Jianzhao Zhang
doaj +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial.
Khatereh Mohammadi +2 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Glaucoma detection in myopic eyes using deep learning autoencoder-based regions of interest
PurposeTo evaluate the diagnostic accuracy of a deep learning autoencoder-based model utilizing regions of interest (ROI) from optical coherence tomography (OCT) texture enface images for detecting glaucoma in myopic eyes.MethodsThis cross-sectional ...
Christopher Bowd +19 more
doaj +1 more source

