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Machine learning prediction will be part of future treatment of depression

Australian and New Zealand journal of psychiatry, 2023-10, Vol.57 (10), p.1316-1323

2023

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Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists’ readings

Acta radiologica (1987), 2023-04, Vol.64 (4), p.1422-1430

2023

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The interpretation of beds: More bedtime stories, or maybe they're dreaming?

Australian and New Zealand journal of psychiatry, 2020-12, Vol.54 (12), p.1154-1156

2020

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Metal artifact reduction in CT, a phantom study: subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants

Acta radiologica (1987), 2018-09, Vol.59 (9), p.1110-1118

2018

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The National Mental Health Service Planning Framework: Where has it come from and what is its future?

Australian and New Zealand journal of psychiatry, 2020-12, Vol.54 (12), p.1152-1153

2020

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Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research

Materials science and technology, 2014-09, Vol.30 (11), p.1259-1262

Chakraborti, Nirupam

2014

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Does comprehension (sometimes) go wrong for noncanonical sentences?

Quarterly journal of experimental psychology (2006), 2021-01, Vol.74 (1), p.1-28

2021

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Physics-informed machine learning models for the prediction of transient temperature distribution of ferritic steel in directed energy deposition by cold metal transfer

Science and technology of welding and joining, 2023-11, Vol.28 (9), p.914-922

2023

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Development and validation of a prediction algorithm for the onset of common mental disorders in a working population

Australian and New Zealand journal of psychiatry, 2018-01, Vol.52 (1), p.47-58

2018

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Comparison of 3DSIM thermal modelling of selective laser melting using new dynamic meshing method to ANSYS

Materials science and technology, 2015-06, Vol.31 (8), p.945-956

2015

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The regulation of driving with non-epileptic seizures must be made clearer

Australian and New Zealand journal of psychiatry, 2022-02, Vol.56 (2), p.117-119

2022

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Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm

Applied spectroscopy, 2015-11, Vol.69 (11), p.1303-1312

2015

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Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging

Acta Radiologica, 2024-02, Vol.65 (2), p.159-166

2024

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New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers

Acta radiologica (1987), 2018-09, Vol.59 (9), p.1051-1059

2018

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Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population

Acta radiologica (1987), 2023-05, Vol.64 (5), p.1730-1737

2023

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Radiomics of CTA is feasible in identifying muscle ischemia

Acta radiologica (1987), 2023-04, Vol.64 (4), p.1469-1475

2023

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Automated image quality assessment of mammography phantoms: a systematic review

Acta Radiologica, 2023-03, Vol.64 (3), p.971-986

2023

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Integrating model explanations and hybrid priors into deep stacked networks for the “safe zone” prediction of acetabular cup

Acta radiologica (1987), 2023-03, Vol.64 (3), p.1130-1138

2023

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An artificial neural network approach for rational decision-making in borderline orthodontic cases: A preliminary analytical observational in silico study

Journal of orthodontics, 2023-12, Vol.50 (4), p.439-448

2023

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Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction

Acta radiologica (1987), 2023-03, Vol.64 (3), p.1007-1017

2023

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External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic

Acta radiologica (1987), 2023-11, Vol.64 (11), p.2898-2907

2023

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Coronary artery calcium quantification: comparison between filtered-back projection, hybrid iterative reconstruction, and deep learning reconstruction techniques

Acta radiologica (1987), 2023-08, Vol.64 (8), p.2393-2400

2023

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Development of a deep learning-based auto-segmentation algorithm for hepatocellular carcinoma (HCC) and application to predict microvascular invasion of HCC using CT texture analysis: preliminary results

Acta radiologica (1987), 2023-03, Vol.64 (3), p.907-917

2023

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Validation and generalizability of machine learning prediction models on attrition in longitudinal studies

International journal of behavioral development, 2022-03, Vol.46 (2), p.169-176

2022

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Can optimized model-based iterative reconstruction improve the contrast of liver lesions in CT?

Acta radiologica (1987), 2023-01, Vol.64 (1), p.42-50

2023

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Machine learning prediction will be part of future treatment of depression

Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists’ readings

The interpretation of beds: More bedtime stories, or maybe they're dreaming?

Metal artifact reduction in CT, a phantom study: subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants

The National Mental Health Service Planning Framework: Where has it come from and what is its future?

Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research

Does comprehension (sometimes) go wrong for noncanonical sentences?

Physics-informed machine learning models for the prediction of transient temperature distribution of ferritic steel in directed energy deposition by cold metal transfer

Development and validation of a prediction algorithm for the onset of common mental disorders in a working population

Comparison of 3DSIM thermal modelling of selective laser melting using new dynamic meshing method to ANSYS

The regulation of driving with non-epileptic seizures must be made clearer

Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm

Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging

New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers

Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population

Radiomics of CTA is feasible in identifying muscle ischemia

Automated image quality assessment of mammography phantoms: a systematic review

Integrating model explanations and hybrid priors into deep stacked networks for the “safe zone” prediction of acetabular cup

An artificial neural network approach for rational decision-making in borderline orthodontic cases: A preliminary analytical observational in silico study

Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction

External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic

Coronary artery calcium quantification: comparison between filtered-back projection, hybrid iterative reconstruction, and deep learning reconstruction techniques

Development of a deep learning-based auto-segmentation algorithm for hepatocellular carcinoma (HCC) and application to predict microvascular invasion of HCC using CT texture analysis: preliminary results

Validation and generalizability of machine learning prediction models on attrition in longitudinal studies

Can optimized model-based iterative reconstruction improve the contrast of liver lesions in CT?

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