Protein science meets artificial intelligence: a systematic review and a biochemical meta-analysis of an inter-field

J Villalobos-Alva, L Ochoa-Toledo… - … in Bioengineering and …, 2022 - frontiersin.org
Proteins are some of the most fascinating and challenging molecules in the universe, and
they pose a big challenge for artificial intelligence. The implementation of machine …

Msu-net: Multi-scale u-net for 2d medical image segmentation

R Su, D Zhang, J Liu, C Cheng - Frontiers in Genetics, 2021 - frontiersin.org
Aiming at the limitation of the convolution kernel with a fixed receptive field and unknown
prior to optimal network width in U-Net, multi-scale U-Net (MSU-Net) is proposed by us for …

iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron

S Tang, L Chen - Current Bioinformatics, 2022 - ingentaconnect.com
Background: The Anatomical Therapeutic Chemicals (ATC) classification system is a widely
accepted drug classification system. It classifies drugs according to the organ or system in …

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics

A Sharma, A Lysenko, KA Boroevich, T Tsunoda - Scientific reports, 2023 - nature.com
Modern oncology offers a wide range of treatments and therefore choosing the best option
for particular patient is very important for optimal outcome. Multi-omics profiling in …

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

D Sharifrazi, R Alizadehsani… - Mathematical …, 2022 - researchers.mq.edu.au
Myocarditis is the form of an inflammation of the middle layer of the heart wall which is
caused by a viral infection and can affect the heart muscle and its electrical system. It has …

MH UNet: A multi-scale hierarchical based architecture for medical image segmentation

P Ahmad, H Jin, R Alroobaea, S Qamar, R Zheng… - IEEE …, 2021 - ieeexplore.ieee.org
UNet and its variations achieve state-of-the-art performances in medical image
segmentation. In end-to-end learning, the training with high-resolution medical images …

FEDA: Fine-grained emotion difference analysis for facial expression recognition

H Liu, H Cai, Q Lin, X Zhang, X Li, H Xiao - Biomedical Signal Processing …, 2023 - Elsevier
Facial expression recognition (FER) has an important role in intelligent human–computer
interaction. The complexity and confusion of target emotions and the subjectivity of …

Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards

VP Nemani, H Lu, A Thelen, C Hu, AT Zimmerman - Neurocomputing, 2022 - Elsevier
Probabilistic prediction of the remaining useful life (RUL) of bearings is critically important,
especially in an industrial setting where unplanned maintenance needs, unscheduled …

RMTLysPTM: recognizing multiple types of lysine PTM sites by deep analysis on sequences

L Chen, Y Chen - Briefings in Bioinformatics, 2024 - academic.oup.com
Post-translational modification (PTM) occurs after a protein is translated from ribonucleic
acid. It is an important living creature life phenomenon because it is implicated in almost all …

OAU-net: Outlined Attention U-net for biomedical image segmentation

H Song, Y Wang, S Zeng, X Guo, Z Li - Biomedical Signal Processing and …, 2023 - Elsevier
In this paper, we propose an Outlined Attention U-network (OAU-net) with bypass branching
strategy to solve biomedical image segmentation tasks, which is capable of sensing shallow …