AIMC Topic: Algorithms

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Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images.

International journal of computer assisted radiology and surgery
PURPOSE: The registration of a 3D atlas image to 2D radiographs enables 3D pre-operative planning without the need to acquire costly and high-dose CT-scans. Recently, many deep-learning-based 2D/3D registration methods have been proposed which tackle...

Towards bi-directional skip connections in encoder-decoder architectures and beyond.

Medical image analysis
U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks. Many recent approaches have also extended U-Net with more complex building blocks, which typically increa...

Smart process development: Application of machine-learning and integrated process modeling for inclusion body purification processes.

Biotechnology progress
The development of a biopharmaceutical production process usually occurs sequentially, and tedious optimization of each individual unit operation is very time-consuming. Here, the conditions established as optimal for one-step serve as input for the ...

Speeding up the Topography Imaging of Atomic Force Microscopy by Convolutional Neural Network.

Analytical chemistry
Atomic force microscopy (AFM) provides unprecedented insight into surface topography research with ultrahigh spatial resolution at the subnanometer level. However, a slow scanning rate has to be employed to ensure the image quality, which will largel...

DeLA-Drug: A Deep Learning Algorithm for Automated Design of Druglike Analogues.

Journal of chemical information and modeling
In this paper, we present a deep learning algorithm for automated design of druglike analogues (DeLA-Drug), a recurrent neural network (RNN) model composed of two long short-term memory (LSTM) layers and conceived for data-driven generation of simila...

The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.

Proceedings of the National Academy of Sciences of the United States of America
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffer from instability, even when universal approximation properties guarantee the existence of stable n...

The Role of Knowledge Creation-Oriented Convolutional Neural Network in Learning Interaction.

Computational intelligence and neuroscience
When convolutional neural network (CNN) applications have different tasks in the source domain and target domain, but both have labels, it is easy to ignore the difference between the source domain and target domain by using the current traditional m...

A Safe and Compliant Noncontact Interactive Approach for Wheeled Walking Aid Robot.

Computational intelligence and neuroscience
Aiming at promptly and accurately detecting falls and drag-to gaits induced by asynchronous human-robot movement speed during assisted walking, a noncontact interactive approach with generality, compliance and safety is proposed in this paper, and is...

Improved CNN Method for Crop Pest Identification Based on Transfer Learning.

Computational intelligence and neuroscience
Timely treatment and elimination of diseases and pests can effectively improve the yield and quality of crops, but the current identification methods are difficult to achieve efficient and accurate research and analysis of diseases and pests. To solv...