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3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation
3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation
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3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation

Uyttendaele, Vincent ; Knopp, Jennifer L ; Davidson, Shaun ; Desaive, Thomas ; Benyo, Balazs ; Shaw, Geoffrey M ; Chase, J Geoffrey

Biomedical engineering online, 2019-10, Vol.18 (1), p.102-102, Article 102 [Periódico revisado por pares]

England: BioMed Central Ltd

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2
3D Printed and Electrospun, Transparent, Hierarchical Polylactic Acid Mask Nanoporous Filter
3D Printed and Electrospun, Transparent, Hierarchical Polylactic Acid Mask Nanoporous Filter
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3D Printed and Electrospun, Transparent, Hierarchical Polylactic Acid Mask Nanoporous Filter

He, Haijun ; Gao, Min ; Illés, Balázs ; Molnar, Kolos

International journal of bioprinting, 2020-01, Vol.6 (4), p.1-9

Singapore: AccScience Publishing

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3
A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control
A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control
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A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control

Uyttendaele, Vincent ; Knopp, Jennifer L. ; Stewart, Kent W. ; Desaive, Thomas ; Benyó, Balázs ; Szabó-Némedi, Noémi ; Illyés, Attila ; Shaw, Geoffrey M. ; Chase, J. Geoffrey

Biomedical signal processing and control, 2018-09, Vol.46, p.192-200 [Periódico revisado por pares]

Elsevier Ltd

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4
A Case for the Nuclear Membrane as a Mechanotransducer
A Case for the Nuclear Membrane as a Mechanotransducer
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A Case for the Nuclear Membrane as a Mechanotransducer

Enyedi, Balázs ; Niethammer, Philipp

Cellular and Molecular Bioengineering, 2016-06, Vol.9 (2), p.247-251 [Periódico revisado por pares]

New York: Springer US

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5
Adhesion of Pseudomonas aeruginosa strains to untreated and oxygen-plasma treated poly(vinyl chloride) (PVC) from endotracheal intubation devices
Adhesion of Pseudomonas aeruginosa strains to untreated and oxygen-plasma treated poly(vinyl chloride) (PVC) from endotracheal intubation devices
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Adhesion of Pseudomonas aeruginosa strains to untreated and oxygen-plasma treated poly(vinyl chloride) (PVC) from endotracheal intubation devices

Triandafillu, K ; Balazs, D.J ; Aronsson, B.-O ; Descouts, P ; Tu Quoc, P ; van Delden, C ; Mathieu, H.J ; Harms, H

Biomaterials, 2003-04, Vol.24 (8), p.1507-1518 [Periódico revisado por pares]

Netherlands: Elsevier Ltd

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6
An 64-80-96 kbit/s scalable wideband speech coding candidate for ITU-T G.711-WB standardization
An 64-80-96 kbit/s scalable wideband speech coding candidate for ITU-T G.711-WB standardization
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An 64-80-96 kbit/s scalable wideband speech coding candidate for ITU-T G.711-WB standardization

Kovesi, B. ; Ragot, S. ; Le Guyader, A.

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.4801-4804

IEEE

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7
An advanced prediction model for postoperative complications and early implant failure
An advanced prediction model for postoperative complications and early implant failure
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An advanced prediction model for postoperative complications and early implant failure

Feher, Balazs ; Lettner, Stefan ; Heinze, Georg ; Karg, Florian ; Ulm, Christian ; Gruber, Reinhard ; Kuchler, Ulrike

Clinical oral implants research, 2020-10, Vol.31 (10), p.928-935 [Periódico revisado por pares]

Brussels: Wiley Subscription Services, Inc

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8
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support
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Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support

Harangi, Balazs ; Baran, Agnes ; Hajdu, Andras

Biomedical signal processing and control, 2020-09, Vol.62, p.102041, Article 102041 [Periódico revisado por pares]

Elsevier Ltd

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9
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors
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Automatic detection of the optic disc using majority voting in a collection of optic disc detectors

Harangi, Balazs ; Qureshi, Rashid Jalal ; Csutak, Adrienne ; Peto, Tunde ; Hajdu, Andras

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, p.1329-1332

IEEE

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10
Automatic exudate detection by fusing multiple active contours and regionwise classification
Automatic exudate detection by fusing multiple active contours and regionwise classification
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Automatic exudate detection by fusing multiple active contours and regionwise classification

Harangi, Balazs ; Hajdu, Andras

Computers in biology and medicine, 2014-11, Vol.54, p.156-171 [Periódico revisado por pares]

United States: Elsevier Ltd

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