Privacy preserving distributed learning classifiers – Sequential learning with small sets of data

Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI

(2021) Margarita Kirienko et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study

(2021) Ananya Choudhury et al.   RADIOTHERAPY AND ONCOLOGY

Distributed learning on 20 000+ lung cancer patients – The Personal Health Train

(2020) Timo M. Deist et al.   RADIOTHERAPY AND ONCOLOGY

Diagnosis support systems for rare diseases: a scoping review

(2020) Carole Faviez et al.   Orphanet Journal of Rare Diseases

Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer

(2020) Marta Bogowicz et al.   Scientific Reports

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling

(2020) Anup Tuladhar et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Whole-genome sequencing of patients with rare diseases in a national health system

(2020) Ernest Turro et al.   NATURE

The use of machine learning in rare diseases: a scoping review

(2020) Julia Schaefer et al.   Orphanet Journal of Rare Diseases

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies

(2020) R. Da-ano et al.   Scientific Reports

A New Distributed Feature Selection Technique for Classifying Gene Expression Data

(2019) Sarah M. Aiyad et al.   International Journal of Biomathematics

Evaluation of repositories for sharing individual-participant data from clinical studies

(2019) Rita Banzi et al.   Trials

Harmonization of chest CT scans for different doses and reconstruction methods

(2019) Gonzalo Vegas‐Sánchez‐Ferrero et al.   MEDICAL PHYSICS

Estimating the success of re-identifications in incomplete datasets using generative models

(2019) Luc Rocher et al.   Nature Communications

Distributed deep learning networks among institutions for medical imaging

(2018) Ken Chang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

(2018) Timo M. Deist et al.   MEDICAL PHYSICS

The Occurrence of 275 Rare Diseases and 47 Rare Disease Groups in Italy. Results from the National Registry of Rare Diseases

(2018) Domenica Taruscio et al.   International Journal of Environmental Research and Public Health

Key Implications of Data Sharing in Pediatric Genomics

(2018) Vasiliki Rahimzadeh et al.   JAMA Pediatrics

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

(2017) Arthur Jochems et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

It’s all in the timing: calibrating temporal penalties for biomedical data sharing

(2017) Weiyi Xia et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Four challenges in medical image analysis from an industrial perspective

(2016) Jürgen Weese et al.   MEDICAL IMAGE ANALYSIS

Distributed feature selection: An application to microarray data classification

(2015) V. Bolón-Canedo et al.   APPLIED SOFT COMPUTING

A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients

(2015) Cary Oberije et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’

(2013) Philippe Lambin et al.   RADIOTHERAPY AND ONCOLOGY

Identifying Personal Genomes by Surname Inference

(2013) M. Gymrek et al.   SCIENCE

Predicting outcomes in radiation oncology—multifactorial decision support systems

(2012) Philippe Lambin et al.   Nature Reviews Clinical Oncology