Hasil Pencarian - Muhammad Febrian Rachmadi

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  1. 1
    Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map

    Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map oleh Yunhee Jeong, Muhammad Febrian Rachmadi, Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Taku Komura

    Diterbitkan 2019-06-01
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  2. 2
    Exploring the performance of implicit neural representations for brain image registration

    Exploring the performance of implicit neural representations for brain image registration oleh Michal Byra, Charissa Poon, Muhammad Febrian Rachmadi, Matthias Schlachter, Henrik Skibbe

    Diterbitkan 2023-10-01
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  3. 3
    A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging

    A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging oleh Charissa Poon, Petteri Teikari, Muhammad Febrian Rachmadi, Henrik Skibbe, Kullervo Hynynen

    Diterbitkan 2023-03-01
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  4. 4
    PERFORMANCE COMPARISON OF USART COMMUNICATION BETWEEN REAL TIME OPERATING SYSTEM (RTOS) AND NATIVE INTERRUPT

    PERFORMANCE COMPARISON OF USART COMMUNICATION BETWEEN REAL TIME OPERATING SYSTEM (RTOS) AND NATIVE INTERRUPT oleh Novian Habibie, Machmud Roby Alhamidi, Dwi Marhaendro Jati Purnomo, Muhammad Febrian Rachmadi

    Diterbitkan 2016-02-01
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  5. 5
    PARTICLE SWARM OPTIMIZATION (PSO) FOR TRAINING OPTIMIZATION ON CONVOLUTIONAL NEURAL NETWORK (CNN)

    PARTICLE SWARM OPTIMIZATION (PSO) FOR TRAINING OPTIMIZATION ON CONVOLUTIONAL NEURAL NETWORK (CNN) oleh Arie Rachmad Syulistyo, Dwi Marhaendro Jati Purnomo, Muhammad Febrian Rachmadi, Adi Wibowo

    Diterbitkan 2016-02-01
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  6. 6
    SIMULATION OF LANDMARK APPROACH FOR WALL FOLLOWING ALGORITHM ON FIRE-FIGHTING ROBOT USING V-REP

    SIMULATION OF LANDMARK APPROACH FOR WALL FOLLOWING ALGORITHM ON FIRE-FIGHTING ROBOT USING V-REP oleh Sumarsih Condroayu Purbarani, Qurrotin A’yunina, Muhammad Anwar Ma’sum, Muhammad Febrian Rachmadi

    Diterbitkan 2015-08-01
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  7. 7
    PEER ASSESSMENT RATING (PAR) INDEX CALCULATION ON 2D DENTAL MODEL IMAGE FOR OVER JET, OPEN BITE, AND TEETH SEGMENTATION ON OCCLUSION SURFACE

    PEER ASSESSMENT RATING (PAR) INDEX CALCULATION ON 2D DENTAL MODEL IMAGE FOR OVER JET, OPEN BITE, AND TEETH SEGMENTATION ON OCCLUSION SURFACE oleh Muhammad Febrian Rachmadi, Ratna Rustamadji, Miesje Karmiati Purwanegara, sani Muhammad Isa, Benny Hardjono

    Diterbitkan 2014-08-01
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  8. 8
    BEAGLEBOARD EMBEDDED SYSTEM FOR ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM WITH CAMERA SENSOR

    BEAGLEBOARD EMBEDDED SYSTEM FOR ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM WITH CAMERA SENSOR oleh Muhammad Febrian Rachmadi, F Al Afif, M Anwar Ma'sum, M Fajar, A Wibowo

    Diterbitkan 2012-07-01
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  9. 9
    Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme

    Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme oleh Carlos Uziel Pérez Malla, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura

    Diterbitkan 2019-05-01
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  10. 10
    Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology

    Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology oleh Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Taku Komura

    Diterbitkan 2017-12-01
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  11. 11
    COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT

    COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT oleh Dewa Made Sri Arsa, Grafika Jati, Agung Santoso, Rafli Filano, Nurul Hanifah, Muhammad Febrian Rachmadi

    Diterbitkan 2017-02-01
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  12. 12
    Character recognition system for pegon typed manuscript

    Character recognition system for pegon typed manuscript oleh Yova Ruldeviyani, Heru Suhartanto, Beltsazar Anugrah Sotardodo, Muhammad Hanif Fahreza, Andre Septiano, Muhammad Febrian Rachmadi

    Diterbitkan 2024-08-01
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