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Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization

NMR in biomedicine, 2022-04, Vol.35 (4), p.e4193-n/a

2022

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Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

NMR in biomedicine, 2024-04, Vol.37 (4), p.e5095-n/a

2024

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Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based nosological images

NMR in biomedicine, 2020-04, Vol.33 (4), p.e4229-n/a

2020

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Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

PloS one, 2019-06, Vol.14 (6), p.e0217541-e0217541

2019

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How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

Cardiovascular research, 2021-06, Vol.117 (7), p.1700-1717

2021

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Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3166

2022

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Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

PloS one, 2012-10, Vol.7 (10), p.e47824-e47824

2012

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Semi-supervised learning for an improved diagnosis of COVID-19 in CT images

PloS one, 2021-04, Vol.16 (4), p.e0249450-e0249450

2021

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Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning

Algorithms, 2024-01, Vol.17 (1), p.6

2024

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Enhanced survival prediction using explainable artificial intelligence in heart transplantation

Scientific reports, 2022-11, Vol.12 (1), p.19525-19525, Article 19525

2022

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Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data

PloS one, 2020-01, Vol.15 (1), p.e0228154-e0228154

2020

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Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study

Water (Basel), 2020-07, Vol.12 (7), p.1885

2020

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Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

Cardiovascular diabetology, 2022-10, Vol.21 (1), p.208-208, Article 208

2022

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Maximizing adaptive power in neuroevolution

PloS one, 2018-07, Vol.13 (7), p.e0198788-e0198788

2018

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Breast cancer patient characterisation and visualisation using deep learning and fisher information networks

Scientific reports, 2022-08, Vol.12 (1), p.14004-14004, Article 14004

2022

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Automated decision support in melanocytic lesion management

PloS one, 2018-09, Vol.13 (9), p.e0203459-e0203459

2018

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Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models

PloS one, 2019-08, Vol.14 (8), p.e0220809-e0220809

2019

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Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study

Nutrition journal, 2024-02, Vol.23 (1), p.15-15, Article 15

2024

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How to Open a Black Box Classifier for Tabular Data

Algorithms, 2023-04, Vol.16 (4), p.181

2023

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A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

Water (Basel), 2020-06, Vol.12 (6), p.1628

2020

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Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm

Frontiers in medicine, 2023-09, Vol.10, p.1230854-1230854

2023

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Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective

Cogent engineering, 2022-12, Vol.9 (1)

2022

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A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions

Environments (Basel, Switzerland), 2022-07, Vol.9 (7), p.85

2022

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Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

PloS one, 2020-07, Vol.15 (7), p.e0235057-e0235057

2020

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Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks

Cancers, 2023-08, Vol.15 (15), p.4002

2023

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Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization

Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based nosological images

Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors

Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

Semi-supervised learning for an improved diagnosis of COVID-19 in CT images

Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning

Enhanced survival prediction using explainable artificial intelligence in heart transplantation

Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data

Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study

Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

Maximizing adaptive power in neuroevolution

Breast cancer patient characterisation and visualisation using deep learning and fisher information networks

Automated decision support in melanocytic lesion management

Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models

Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study

How to Open a Black Box Classifier for Tabular Data

A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm

Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective

A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions

Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks

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