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Riries Rulaningtyas

Showing results (1-10 of 10) with videos related to

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Life (Basel, Switzerland)|January 28, 2026
EMG-Spectrogram-Empowered CNN Stroke-Classifier Model DevelopmentKatherine, Riries Rulaningtyas, Kalaivani Chellappan
International Journal of Biomedical Imaging|May 2, 2022
Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris ImageRinci Kembang Hapsari, Miswanto Miswanto, Riries Rulaningtyas, et al.
Infectious Disease Reports|September 3, 2020
The efficacy of photodynamic inactivation with laser diode on <i>Staphylococcus aureus</i> biofilm with various ages of biofilmSuryani Dyah Astuti, Hafidiana, Riries Rulaningtyas, et al.
JMIR AI|March 18, 2026
Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation StudyVitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Riries Rulaningtyas, et al.
Acta Odontologica Scandinavica|May 21, 2024
Classification of Indonesian adult forensic gender using cephalometric radiography with VGG16 and VGG19: a Preliminary researchVitria Wuri Handayani, Ahmad Yudianto, Mieke Sylvia M A R, et al.
JMIR AI|June 15, 2026
Correction: Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation StudyVitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Riries Rulaningtyas, et al.
Methodsx|January 6, 2025
Multifrequency electrical impedance tomography (Mf-EIT) for the detection of breast cancer phantom anomaliesBayu Ariwanto, Khusnul Ain, Riries Rulaningtyas, et al.
BMC Medical Imaging|August 25, 2025
Development and evaluation of a convolutional neural network model for sex prediction using cephalometric radiographs and cranial photographsVitria Wuri Handayani, Mieke Sylvia Margareth Amiatun Ruth, Riries Rulaningtyas, et al.
Micromachines|July 8, 2023
Design and Application of Near Infrared LED and Solenoid Magnetic Field Instrument to Inactivate Pathogenic BacteriaDeny Arifianto, Suryani Dyah Astuti, Perwira Annissa Dyah Permatasari, et al.
International Journal of Biomedical Imaging|January 23, 2026
Automated <i>Mycobacterium tuberculosis</i> Detection in Multivariant Digitized Ziehl-Neelsen Staining Using Faster R-CNN MethodRiries Rulaningtyas, Fashalli Giovi Bilhaq, Deby Kusumaningrum, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Life (Basel, Switzerland)|January 28, 2026
EMG-Spectrogram-Empowered CNN Stroke-Classifier Model DevelopmentKatherine, Riries Rulaningtyas, Kalaivani Chellappan
International Journal of Biomedical Imaging|May 2, 2022
Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris ImageRinci Kembang Hapsari, Miswanto Miswanto, Riries Rulaningtyas, et al.
Infectious Disease Reports|September 3, 2020
The efficacy of photodynamic inactivation with laser diode on <i>Staphylococcus aureus</i> biofilm with various ages of biofilmSuryani Dyah Astuti, Hafidiana, Riries Rulaningtyas, et al.
JMIR AI|March 18, 2026
Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation StudyVitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Riries Rulaningtyas, et al.
Acta Odontologica Scandinavica|May 21, 2024
Classification of Indonesian adult forensic gender using cephalometric radiography with VGG16 and VGG19: a Preliminary researchVitria Wuri Handayani, Ahmad Yudianto, Mieke Sylvia M A R, et al.
JMIR AI|June 15, 2026
Correction: Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation StudyVitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Riries Rulaningtyas, et al.
Methodsx|January 6, 2025
Multifrequency electrical impedance tomography (Mf-EIT) for the detection of breast cancer phantom anomaliesBayu Ariwanto, Khusnul Ain, Riries Rulaningtyas, et al.
BMC Medical Imaging|August 25, 2025
Development and evaluation of a convolutional neural network model for sex prediction using cephalometric radiographs and cranial photographsVitria Wuri Handayani, Mieke Sylvia Margareth Amiatun Ruth, Riries Rulaningtyas, et al.
Micromachines|July 8, 2023
Design and Application of Near Infrared LED and Solenoid Magnetic Field Instrument to Inactivate Pathogenic BacteriaDeny Arifianto, Suryani Dyah Astuti, Perwira Annissa Dyah Permatasari, et al.
International Journal of Biomedical Imaging|January 23, 2026
Automated <i>Mycobacterium tuberculosis</i> Detection in Multivariant Digitized Ziehl-Neelsen Staining Using Faster R-CNN MethodRiries Rulaningtyas, Fashalli Giovi Bilhaq, Deby Kusumaningrum, et al.
Pageof 1