Results 231 to 240 of about 347,135 (294)
Defining Meaningful Apparent Diffusion Coefficient Change Using MR-Linac in Head and Neck Cancer. [PDF]
Radiol Imaging CancerTodea RA, Kulcsar Z.
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Integration of quantitative MRI and liver function indices to predict early tumor response after stereotactic body radiotherapy for hepatocellular carcinoma: A prospective study. [PDF]
Clin Transl Radiat OncolTanaka O +6 more
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Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study. [PDF]
Sci RepAlzate-Grisales JA +9 more
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Application of simultaneous multi-slice accelerated readout-segmented echo planar diffusion-weighted imaging in assessing tumor response to neoadjuvant therapy in locally advanced rectal cancer. [PDF]
Sci RepYang L +5 more
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2021
The present study was designed to investigate the reliability of the questionnaire Adult Developmental Co-ordination Disorders/Dyspraxia Checklist and to assess the percentage of occurrence of motor difficulties, in young adults. For the purpose of the study, the ADC questionnaire, which is designed to detect and assess motor difficulties in young ...
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The present study was designed to investigate the reliability of the questionnaire Adult Developmental Co-ordination Disorders/Dyspraxia Checklist and to assess the percentage of occurrence of motor difficulties, in young adults. For the purpose of the study, the ADC questionnaire, which is designed to detect and assess motor difficulties in young ...
openaire +2 more sources
IEEE Transactions on Instrumentation and Measurement, 1996
The paper deals with a neural network-based approach for A/D converter (ADC) modeling. This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly setup. Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms
BERNIERI A. +2 more
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The paper deals with a neural network-based approach for A/D converter (ADC) modeling. This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly setup. Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms
BERNIERI A. +2 more
openaire +4 more sources
Evaluation of ADC Testing Systems Using ADC Transfer Standard
IEEE Transactions on Instrumentation and Measurement, 2004A transportable high stable reference AD device was designed and built for a comparison of systems for testing of the dynamic quality of ADCs or modules. Three different input modules enable its use in the frequency range up to 5 MHz. First, this paper refers to the results of the AD device application in the frequency range of the testing signal up to
V. Haasz, J. Roztocil, D. Slepicka
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Proceedings of the IEEE 2013 Custom Integrated Circuits Conference, 2013
Oversampled ADC's are steadily reaching higher effective bandwidths and resolutions at lower power dissipation levels through the use of clever design techniques. The use of continuous time architecture enhances the system level usability by reducing the need for anti-aliasing filters.
Eric Naviasky, Hasnain Lakdawala
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Oversampled ADC's are steadily reaching higher effective bandwidths and resolutions at lower power dissipation levels through the use of clever design techniques. The use of continuous time architecture enhances the system level usability by reducing the need for anti-aliasing filters.
Eric Naviasky, Hasnain Lakdawala
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MESO-ADC: The ADC design using MESO device
Microelectronics Journal, 2021Abstract In this paper, we propose a new 3-bit ADC based on magnetoelectric spin–orbit (MESO) device. By adjusting the thickness of the magnetoelectric part of MESOs, the ADC possesses multiple switching thresholds for converting input voltages into magnetization state.
Junwei Zeng +6 more
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