Deep Learning in Personalization of Cardiovascular Stents

Deep learning for cardiovascular medicine: a practical primer

(2019) Chayakrit Krittanawong et al.   EUROPEAN HEART JOURNAL

Deep learning detects impending organ injury in the clinic

(2019) Eric J. Topol   NATURE

Augmented reality for personalized nanomedicines

(2018) Yugyung Lee et al.   BIOTECHNOLOGY ADVANCES

Deep learning of genomic variation and regulatory network data

(2018) Amalio Telenti et al.   HUMAN MOLECULAR GENETICS

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments

(2018) Ivan Wen Wen Lau et al.   PLoS One

A patient-specific lumped-parameter model of coronary circulation

(2018) Zheng Duanmu et al.   Scientific Reports

Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier

(2018) Xin Hu et al.   Biomed Research International

Modeling of cardiovascular circulation for the early detection of coronary arterial blockage

(2018) Karan Jain et al.   MATHEMATICAL BIOSCIENCES

3D bioprinting and its in vivo applications

(2017) Nhayoung Hong et al.   JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS

Noninvasive in vivo optical coherence tomography tracking of chronic otitis media in pediatric subjects after surgical intervention

(2017) Guillermo L. Monroy et al.   JOURNAL OF BIOMEDICAL OPTICS

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

(2017) Fadhl M. Alakwaa et al.   JOURNAL OF PROTEOME RESEARCH

Everolimus-Eluting Bioresorbable Scaffolds Versus Everolimus-Eluting Metallic Stents

(2017) Sabato Sorrentino et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

3-Year Clinical Outcomes With Everolimus-Eluting Bioresorbable Coronary Scaffolds

(2017) Dean J. Kereiakes et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Segmentation of blood vessels using rule-based and machine-learning-based methods: a review

(2017) Fengjun Zhao et al.   MULTIMEDIA SYSTEMS

Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students

(2017) David Roy Warriner et al.   BMC Medical Education

State of the art: coronary artery stents – past, present and future

(2017) Giulio Stefanini et al.   EuroIntervention

‘Printability' of Candidate Biomaterials for Extrusion Based 3D Printing: State-of-the-Art

(2017) Stuart Kyle et al.   Advanced Healthcare Materials

DeepPep: Deep proteome inference from peptide profiles

(2017) Minseung Kim et al.   PLoS Computational Biology

Collapse of a Bioresorbable Novolimus-Eluting Coronary Scaffold

(2016) Daniel Braun et al.   JACC-Cardiovascular Interventions

Computer-aided detection of intracoronary stent in intravascular ultrasound sequences

(2016) Francesco Ciompi et al.   MEDICAL PHYSICS

Precision medicine in cardiology

(2016) Elliott M. Antman et al.   Nature Reviews Cardiology

Emerging applications of metabolomics in drug discovery and precision medicine

(2016) David S. Wishart   NATURE REVIEWS DRUG DISCOVERY

The Need for Formally Defining “Modern Medicine” by Means of Experimental Design

(2016) Frank Emmert-Streib et al.   Frontiers in Genetics

Research on the printability of hydrogels in 3D bioprinting

(2016) Yong He et al.   Scientific Reports

Effects of nitric oxide on stem cell therapy

(2015) Wuchen Wang et al.   BIOTECHNOLOGY ADVANCES

A cascade computer model for mocrobicide diffusivity from mucoadhesive formulations

(2015) Yugyung Lee et al.   BMC BIOINFORMATICS

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference?

(2014) Nozomi Takeshima et al.   BMC Medical Research Methodology

Compact Descriptors for Visual Search

(2014) Ling-Yu Duan et al.   IEEE MULTIMEDIA

Characterizaton of the Vessel Geometry, Flow Mechanics and Wall Shear Stress in the Great Arteries of Wildtype Prenatal Mouse

(2014) Choon Hwai Yap et al.   PLoS One

Model-based machine learning

(2013) C. M. Bishop   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Modeling Arterial Wall Drug Concentrations Following the Insertion of a Drug-Eluting Stent

(2013) Sean McGinty et al.   SIAM JOURNAL ON APPLIED MATHEMATICS

Clinical decision support for genetically guided personalized medicine: a systematic review

(2012) Brandon M Welch et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

HoliMAb: A holistic approach for Media–Adventitia border detection in intravascular ultrasound

(2012) Francesco Ciompi et al.   MEDICAL IMAGE ANALYSIS

A Prospective, Randomized Evaluation of a Novel Everolimus-Eluting Coronary Stent

(2011) Gregg W. Stone et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Future of Personalized Medicine in Oncology: A Systems Biology Approach

(2010) Ana Maria Gonzalez-Angulo et al.   JOURNAL OF CLINICAL ONCOLOGY

Clinical and Angiographic Outcomes After Treatment of De Novo Coronary Stenoses With a Novel Platinum Chromium Thin-Strut Stent

(2010) Dean J. Kereiakes et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY