AIMC Topic: Neural Networks, Computer

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HCformer: Hybrid CNN-Transformer for LDCT Image Denoising.

Journal of digital imaging
Low-dose computed tomography (LDCT) is an effective way to reduce radiation exposure for patients. However, it will increase the noise of reconstructed CT images and affect the precision of clinical diagnosis. The majority of the current deep learnin...

ADis-QSAR: a machine learning model based on biological activity differences of compounds.

Journal of computer-aided molecular design
Drug candidates identified by the pharmaceutical industry typically have unique structural characteristics to ensure they interact strongly and specifically with their biological targets. Identifying these characteristics is a key challenge for devel...

Representational drift as a window into neural and behavioural plasticity.

Current opinion in neurobiology
Large-scale recordings of neural activity over days and weeks have revealed that neural representations of familiar tasks, preceptsĀ and actions continually evolve without obvious changes in behaviour. We hypothesise that this steady drift in neural a...

Interfacing Biology and Electronics with Memristive Materials.

Advanced materials (Deerfield Beach, Fla.)
Memristive technologies promise to have a large impact on modern electronics, particularly in the areas of reconfigurable computing and artificial intelligence (AI) hardware. Meanwhile, the evolution of memristive materials alongside the technologica...

Machine Learning Methods for Small Data Challenges in Molecular Science.

Chemical reviews
Small data are often used in scientific and engineering research due to the presence of various constraints, such as time, cost, ethics, privacy, security, and technical limitations in data acquisition. However, big data have been the focus for the p...

Ultrasound Localization Microscopy Using Deep Neural Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Noninvasive imaging of microvascular structures in deep tissues provides morphological and functional information for clinical diagnosis and monitoring. Ultrasound localization microscopy (ULM) is an emerging imaging technique that can generate micro...

A Deep Learning Regression Model for Photonic Crystal Fiber Sensor With XAI Feature Selection and Analysis.

IEEE transactions on nanobioscience
A Deep Learning Multi-output regression model is employed to correctly model the relationships between optical design parameters of an asymmetric Twin Elliptical Core Photonic Crystal Fiber (TEC-PCF) and its sensing performances. TEC-PCF acts as a bi...

A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks.

Sensors (Basel, Switzerland)
This paper proposes a speech recognition method based on a domain-specific language speech network (DSL-Net) and a confidence decision network (CD-Net). The method involves automatically training a domain-specific dataset, using pre-trained model par...

A refined information processing capacity metric allows an in-depth analysis of memory and nonlinearity trade-offs in neurocomputational systems.

Scientific reports
Since dynamical systems are an integral part of many scientific domains and can be inherently computational, analyses that reveal in detail the functions they compute can provide the basis for far-reaching advances in various disciplines. One metric ...

A deep attention LSTM embedded aggregation network for multiple histopathological images.

PloS one
Recent advancements in computer vision and neural networks have facilitated the medical imaging survival analysis for various medical applications. However, challenges arise when patients have multiple images from multiple lesions, as current deep le...