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Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Neurocomputing (Amsterdam), 2019-11, Vol.365, p.137-146

2019

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Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer's disease

PloS one, 2012-01, Vol.7 (1), p.e29868-e29868

2012

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The International Heart Transplant Survival Algorithm (IHTSA): a new model to improve organ sharing and survival

PloS one, 2015-03, Vol.10 (3), p.e0118644-e0118644

2015

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Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

BMC cancer, 2024-01, Vol.24 (1), p.86-86, Article 86

2024

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Deterministic annealing with Potts neurons for multi-robot routing

Intelligent service robotics, 2022-07, Vol.15 (3), p.321-334

2022

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Artificial neural network models to predict nodal status in clinically node-negative breast cancer

BMC cancer, 2019-06, Vol.19 (1), p.610-610, Article 610

2019

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Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation

BMC medical informatics and decision making, 2023-02, Vol.23 (1), p.25-25, Article 25

2023

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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms

PloS one, 2015-09, Vol.10 (9), p.e0137597-e0137597

2015

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Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions

PLoS computational biology, 2013-08, Vol.9 (8), p.e1003197-e1003197

2013

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The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer

Frontiers in oncology, 2023-03, Vol.13, p.1102254-1102254

2023

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Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2011-09, Vol.11 (3), p.328-335

2011

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Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis

Cell reports (Cambridge), 2015-06, Vol.11 (10), p.1503-1510

2015

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Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics

PloS one, 2016-07, Vol.11 (7), p.e0159138-e0159138

2016

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Computer-Assisted Interpretation of Planar Whole-Body Bone Scans

Journal of Nuclear Medicine, 2008-12, Vol.49 (12), p.1958-1965

2008

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Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality

Nutrients, 2022-08, Vol.14 (15), p.3171

2022

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Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy

EJNMMI research, 2014-10, Vol.4 (1), p.58-58, Article 58

2014

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Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases

Proceedings of the National Academy of Sciences - PNAS, 2011-08, Vol.108 (34), p.14252-14257

2011

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Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance

Journal of the American Heart Association, 2019-08, Vol.8 (15), p.e011124-e011124

2019

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The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)

Diagnostics (Basel), 2022-02, Vol.12 (3), p.582

2022

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Tumor tissue protein signatures reflect histological grade of breast cancer

PloS one, 2017-06, Vol.12 (6), p.e0179775-e0179775

2017

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Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

JMIR cancer, 2023-01, Vol.9 (1), p.e46474-e46474

2023

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A machine learning model for prediction of 30-day primary graft failure after heart transplantation

Heliyon, 2023-03, Vol.9 (3), p.e14282-e14282, Article e14282

2023

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Cerebrospinal fluid levels of heart fatty acid binding protein are elevated prodromally in Alzheimer's disease and vascular dementia

Journal of Alzheimer's disease, 2013-01, Vol.34 (3), p.673

2013

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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations

Journal of the American College of Emergency Physicians Open, 2021-04, Vol.2 (2), p.e12363-n/a

2021

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ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients

The Annals of thoracic surgery, 2015-03, Vol.99 (3), p.762-768

2015

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Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer's disease

The International Heart Transplant Survival Algorithm (IHTSA): a new model to improve organ sharing and survival

Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

Deterministic annealing with Potts neurons for multi-robot routing

Artificial neural network models to predict nodal status in clinically node-negative breast cancer

Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation

Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms

Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions

The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer

Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks

Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis

Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics

Computer-Assisted Interpretation of Planar Whole-Body Bone Scans

Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality

Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy

Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases

Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance

The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)

Tumor tissue protein signatures reflect histological grade of breast cancer

Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

A machine learning model for prediction of 30-day primary graft failure after heart transplantation

Cerebrospinal fluid levels of heart fatty acid binding protein are elevated prodromally in Alzheimer's disease and vascular dementia

Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations

ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients

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