Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression

Efficient data-driven behavior identification based on vision transformers for human activity understanding

(2023) Jiachen Yang et al.   NEUROCOMPUTING

Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI

(2022) Sherif Mehralivand et al.   Abdominal Radiology

Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network

(2022) Li-Yin Ye et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

(2022) Hui Wen Loh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness

(2022) Yang Zhao et al.   SIGNAL PROCESSING

The Plasma DIA-Based Quantitative Proteomics Reveals the Pathogenic Pathways and New Biomarkers in Cervical Cancer and High Grade Squamous Intraepithelial Lesion

(2022) Sai Han et al.   Journal of Clinical Medicine

Epidemiology and genomics of prostate cancer in Asian men

(2021) Yao Zhu et al.   Nature Reviews Urology

A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease

(2021) Shaker El-Sappagh et al.   Scientific Reports

Screening of differentially expressed genes and identification of AMACR as a prognostic marker in prostate cancer

(2021) Ping Fu et al.   ANDROLOGIA

SelectMDx and Multiparametric Magnetic Resonance Imaging of the Prostate for Men Undergoing Primary Prostate Biopsy: A Prospective Assessment in a Multi-Institutional Study

(2021) Martina Maggi et al.   Cancers

Identification of MicroRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer

(2021) Luis Javier Martínez-González et al.   Biomedicines

PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes

(2021) Anjali Balagopal et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers

(2021) Tadeusz Dyba et al.   EUROPEAN JOURNAL OF CANCER

MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention

(2021) Jiachen Yang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Matrix Stiffness and Colorectal Cancer

(2020) Chongshun Liu et al.   OncoTargets and Therapy

Identification of a distinct luminal subgroup diagnosing and stratifying early stage prostate cancer by tissue-based single-cell RNA sequencing

(2020) Xiaoshi Ma et al.   Molecular Cancer

Prognostic features of Annexin A2 expression in prostate cancer

(2020) Shyh-Han Tan et al.   PATHOLOGY

EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer—2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent

(2020) Nicolas Mottet et al.   EUROPEAN UROLOGY

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

Decreased expression of ApoF associates with poor prognosis in human hepatocellular carcinoma

(2019) Ya-Bin Wang et al.   Gastroenterology Report

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

MYO6 knockdown inhibits the growth and induces the apoptosis of prostate cancer cells by decreasing the phosphorylation of ERK1/2 and PRAS40

(2016) Dong Wang et al.   ONCOLOGY REPORTS

The Germ Cell Gene TDRD1 as an ERG Target Gene and a Novel Prostate Cancer Biomarker

(2016) Lijuan Xiao et al.   PROSTATE

miARma-Seq: a comprehensive tool for miRNA, mRNA and circRNA analysis

(2016) Eduardo Andrés-León et al.   Scientific Reports

The Molecular Taxonomy of Primary Prostate Cancer

(2015) Adam Abeshouse et al.   CELL

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

A review of microarray datasets and applied feature selection methods

(2014) V. Bolón-Canedo et al.   INFORMATION SCIENCES

featureCounts: an efficient general purpose program for assigning sequence reads to genomic features

(2013) Y. Liao et al.   BIOINFORMATICS

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

(2013) Simon Anders et al.   Nature Protocols

STAR: ultrafast universal RNA-seq aligner

(2012) Alexander Dobin et al.   BIOINFORMATICS

Recurrent chimeric RNAs enriched in human prostate cancer identified by deep sequencing

(2011) K. Kannan et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS

STRING 8--a global view on proteins and their functional interactions in 630 organisms

(2008) L. J. Jensen et al.   NUCLEIC ACIDS RESEARCH