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Unravelling the significance of catalyst reduction stage for high tar reforming activity in the presence of syngas impurities

Applied catalysis. A, General, 2022-07, Vol.642, p.118711, Article 118711

2022

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Stabilization of low nickel content catalysts with lanthanum and by citric acid assisted preparation to suppress deactivation in dry reforming of methane

Catalysis today, 2019-08, Vol.334, p.203-214

2019

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CO2-reforming of methane to produce syngas over Co-Ni/SBA-15 catalyst: Effect of support modifiers (Mg, La and Sc) on catalytic stability

Journal of CO2 utilization, 2017-10, Vol.21, p.395-404

2017

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Quantification of nonrigid liver deformation in radiofrequency ablation interventions using image registration

Physics in medicine & biology, 2018-08, Vol.63 (17), p.175005-175005

2018

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Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures

European radiology, 2018-12, Vol.28 (12), p.4978-4984

2018

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Semiautomated registration of pre‐ and intraoperative CT for image‐guided percutaneous liver tumor ablation interventions

Medical physics (Lancaster), 2017-07, Vol.44 (7), p.3718-3725

2017

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Non-Rigid Registration of Liver CT Images for CT-Guided Ablation of Liver Tumors

PloS one, 2016-09, Vol.11 (9), p.e0161600-e0161600

2016

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Advanced Ni tar reforming catalysts resistant to syngas impurities: Current knowledge, research gaps and future prospects

Fuel (Guildford), 2022-06, Vol.318, p.123602, Article 123602

2022

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Development of Highly Stable Low Ni Content Catalyst for Dry Reforming of CH4‐Rich Feedstocks

ChemCatChem, 2020-03, Vol.12 (6), p.1562-1568

2020

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Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform

Biomedical signal processing and control, 2021-03, Vol.65, p.102361, Article 102361

2021

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Towards efficient production of syngas via the CH4 bi-reforming with CO2 over Ni/xMgAl powder and monolithic catalysts

Petroleum science and technology, 2024-08, Vol.42 (15), p.1911-1927

2024

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Development of Active and Stable Low Nickel Content Catalysts for Dry Reforming of Methane

Catalysts, 2017-05, Vol.7 (5), p.157

2017

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Multi-resolution Coarse-to-fine Registration Approach for Liver Computed Tomography Image Analysis

2022 26th International Computer Science and Engineering Conference (ICSEC), 2022, p.307-312

2022

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Doppler Radar Heartbeat Detection under Respiration and Body Movement using CR-SSA

Transactions of Japanese Society for Medical and Biological Engineering, 2020, Vol.Annual58(Abstract), pp.455-455

2020

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Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising

2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2020, p.189-192

2020

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Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions

Biomedical Image Registration, 2018, Vol.10883, p.115-125

2018

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Registration Evaluation by De-enhancing CT Images

Biomedical Image Registration, 2018, Vol.10883, p.83-93

2018

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Unsupervised Learning-Based Attention-Guided Network for 3D Deformable Medical Image Registration

2023 15th Biomedical Engineering International Conference (BMEiCON), 2023, p.1-5

2023

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CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images

Medical image analysis, 2024-08, Vol.96, p.103212, Article 103212

2024

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CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images

Medical image analysis, 2024-05, p.103212, Article 103212

2024

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Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation

Medical physics (Lancaster), 2024-09

2024

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Quantitative evaluation of noise reduction and vesselness filters for liver vessel segmentation on abdominal CTA images

Physics in medicine & biology, 2015-05, Vol.60 (10), p.3905-3926

2015

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An automatic registration method for pre‐ and post‐interventional CT images for assessing treatment success in liver RFA treatment

Medical physics (Lancaster), 2015-09, Vol.42 (9), p.5559-5567

2015

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Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods

Expert systems with applications, 2024-05, Vol.241, p.122742, Article 122742

2024

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Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration

Computer methods and programs in biomedicine, 2023-05, Vol.233, p.107453-107453, Article 107453

2023

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Unravelling the significance of catalyst reduction stage for high tar reforming activity in the presence of syngas impurities

Stabilization of low nickel content catalysts with lanthanum and by citric acid assisted preparation to suppress deactivation in dry reforming of methane

CO2-reforming of methane to produce syngas over Co-Ni/SBA-15 catalyst: Effect of support modifiers (Mg, La and Sc) on catalytic stability

Quantification of nonrigid liver deformation in radiofrequency ablation interventions using image registration

Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures

Semiautomated registration of pre‐ and intraoperative CT for image‐guided percutaneous liver tumor ablation interventions

Non-Rigid Registration of Liver CT Images for CT-Guided Ablation of Liver Tumors

Advanced Ni tar reforming catalysts resistant to syngas impurities: Current knowledge, research gaps and future prospects

Development of Highly Stable Low Ni Content Catalyst for Dry Reforming of CH4‐Rich Feedstocks

Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform

Towards efficient production of syngas via the CH4 bi-reforming with CO2 over Ni/xMgAl powder and monolithic catalysts

Development of Active and Stable Low Nickel Content Catalysts for Dry Reforming of Methane

Multi-resolution Coarse-to-fine Registration Approach for Liver Computed Tomography Image Analysis

Doppler Radar Heartbeat Detection under Respiration and Body Movement using CR-SSA

Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising

Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions

Registration Evaluation by De-enhancing CT Images

Unsupervised Learning-Based Attention-Guided Network for 3D Deformable Medical Image Registration

CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images

CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images

Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation

Quantitative evaluation of noise reduction and vesselness filters for liver vessel segmentation on abdominal CTA images

An automatic registration method for pre‐ and post‐interventional CT images for assessing treatment success in liver RFA treatment

Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods

Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration

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