Treffer 1 - 9 von 9 für Suche 'Ulinic, Daniel', Suchdauer: 0,59s Treffer weiter einschränken
  1. 1
    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study

    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study von Ungan, Gülnur, Pons Escoda, Albert, Ulinic, Daniel, Arús, Carles, Vellido, Alfredo, Julià Sapé, Margarida


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  2. 2
    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study

    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study von Ungan, Gülnur, Pons Escoda, Albert, Ulinic, Daniel, Arús, Carles, Vellido, Alfredo, Julià Sapé, Margarida


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  3. 3
    Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

    Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous von Ungan, Gülnur, Pons‐Escoda, Albert, Ulinic, Daniel, Arús, Carles, Ortega‐Martorell, Sandra, Olier, Ivan, Vellido, Alfredo, Majós, Carles, Julià‐Sapé, Margarida

    Veröffentlicht in NMR in biomedicine

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  4. 4
    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study

    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study von Ungan, Gülnur, Pons-Escoda, Albert, Ulinic, Daniel, Arús, Carles, Vellido, Alfredo, Julià-Sapé, Margarida

    Veröffentlicht in Cancers

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  5. 5
    REFLECTIONLESS HIGH-SELECTIVE BANDPASS FILTER BASED ON ACOUSTIC WAVE RESONATORS

    REFLECTIONLESS HIGH-SELECTIVE BANDPASS FILTER BASED ON ACOUSTIC WAVE RESONATORS von Verdu, Jordi, Ulinic, Daniel, de Paco, Pedro


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  6. 6
    Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

    Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous von Ungan, Gulnur Semahat, Pons-Escoda, Albert, Ulinic, Daniel, Arús i Caraltó, Carles, Ortega-Martorell, Sandra, Olier, Iván, Vellido, Alfredo, Majos, Carles, Julià Sapé, Ma. Margarita

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  7. 7
    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T : A Proof-of-Concept Study

    Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T : A Proof-of-Concept Study von Ungan, Gulnur Semahat, Pons-Escoda, Albert, Ulinic, Daniel, Arús i Caraltó, Carles, Vellido, Alfredo, Julià Sapé, Ma. Margarita

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  8. 8
    Why neural networks and deep learning are the future in machine learning

    Why neural networks and deep learning are the future in machine learning von Ulinic, Daniel, Universitat Autònoma de Barcelona. Escola d'Enginyeria

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  9. 9
    Advanced filter response based on the reflectionless concept

    Advanced filter response based on the reflectionless concept von Ulinic, Daniel, Universitat Autònoma de Barcelona. Escola d'Enginyeria

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