| Automatic classification of tuberculosis bacteria using neural network R Rulaningtyas, AB Suksmono, TLR Mengko Proceedings of the 2011 International Conference on Electrical Engineering …, 2011 | 54 | 2011 |
| Edge detection for brain tumor pattern recognition R Rulaningtyas, K Ain International Conference on Instrumentation, Communication, Information …, 2009 | 50 | 2009 |
| The utilization of padding scheme on convolutional neural network for cervical cell images classification T Haryanto, IS Sitanggang, MA Agmalaro, R Rulaningtyas 2020 International conference on computer engineering, network, and …, 2020 | 39 | 2020 |
| Segmentasi citra berwarna dengan menggunakan metode clustering berbasis patch untuk identifikasi mycobacterium tuberculosis R Rulaningtyas, AB Suksmono, TLR Mengko, GAP Saptawati Jurnal Biosains Pascasarjana 17 (1), 19-25, 2015 | 35 | 2015 |
| Implementation of backpropagation neural network and extreme learning machine of ph neutralization prototype I Sutrisno, M Firmansyah, RB Widodo, A Ardiansyah, MB Rahmat, ... Journal of Physics: Conference Series 1196 (1), 012048, 2019 | 32 | 2019 |
| Mycobacterium tuberculosis images classification based on combining of convolutional neural network and support vector machine A Rachmad, N Chamidah, R Rulaningtyas Commun. Math. Biol. Neurosci. 2020, Article ID 85, 2020 | 25 | 2020 |
| Multi patch approach in K-means clustering method for color image segmentation in pulmonary tuberculosis identification R Rulaningtyas, AB Suksmono, T Mengko, P Saptawati 2015 4th International Conference on Instrumentation, Communications …, 2015 | 25 | 2015 |
| CT scan image segmentation based on hounsfield unit values using Otsu thresholding method R Rulaningtyas, K Ain Journal of physics: conference series 1816 (1), 012080, 2021 | 24 | 2021 |
| Classification of neovascularization using convolutional neural network model W Setiawan, MI Utoyo, R Rulaningtyas Telkomnika (Telecommunication Computing Electronics and Control) 17 (1), 463-472, 2019 | 23 | 2019 |
| Mycobacterium tuberculosis identification based on colour feature extraction using expert system A Rachmad, N Chamidah, R Rulaningtyas Ann. Biol 36, 196-202, 2020 | 19 | 2020 |
| Comparison of histogram based image enhancement methods on iris images RK Hapsari, MI Utoyo, R Rulaningtyas, H Suprajitno Journal of Physics: Conference Series 1569 (2), 022002, 2020 | 18 | 2020 |
| Post-stroke rehabilitation exosceleton movement control using EMG signal A Rahmatillah, ON Rahma, M Amin, SI Wicaksana, K Ain, R Rulaningtyas Int. J. Adv. Sci. Eng. Inf. Technol 8 (2), 616-621, 2018 | 18 | 2018 |
| The efficacy of photodynamic inactivation with laser diode on Staphylococcus aureus biofilm with various ages of biofilm SD Astuti, R Rulaningtyas, AP Putra, D Arifianto Infectious disease reports 12 (Suppl 1), 8736, 2020 | 16 | 2020 |
| Modified Gray‐Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image RK Hapsari, M Miswanto, R Rulaningtyas, H Suprajitno, GH Seng International Journal of Biomedical Imaging 2022 (1), 5336373, 2022 | 14 | 2022 |
| A new watershed algorithm for pothole image segmentation T Indriyani, MI Utoyo, R Rulaningtyas Studies in Informatics and Control 30 (3), 131-139, 2021 | 14 | 2021 |
| Reconfiguration layers of convolutional neural network for fundus patches classification W Setiawan, MI Utoyo, R Rulaningtyas Bulletin of Electrical Engineering and Informatics 10 (1), 383-389, 2021 | 14 | 2021 |
| Soliton mode-locked pulse generation with a bulk structured MXene Ti3AlC2 deposited onto a D-shaped fiber AAA Jafry, AHA Rosol, N Kasim, AR Muhammad, R Rulaningtyas, ... Applied Optics 59 (28), 8759-8767, 2020 | 14 | 2020 |
| Transfer learning with multiple pre-trained network for fundus classification W Setiawan, MI Utoyo, R Rulaningtyas Telkomnika (Telecommunication Computing Electronics and Control) 18 (3 …, 2020 | 14 | 2020 |
| Iris segmentation using Hough Transform method and Fuzzy C-Means method RK Hapsari, MI Utoyo, R Rulaningtyas, H Suprajitno Journal of Physics: Conference Series 1477 (2), 022037, 2020 | 14 | 2020 |
| Deep convolutional neural network alexnet and squeezenet for maize leaf diseases image classification W Setiawan, A Ghofur, FH Rachman, R Rulaningtyas Kinetik: Game Technology, Information System, Computer Network, Computing …, 2021 | 13 | 2021 |