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2020 – today
- 2024
[j16]Hilya Tsaniya
, Chastine Fatichah, Nanik Suciati:
Automatic Radiology Report Generator Using Transformer With Contrast-Based Image Enhancement. IEEE Access 12: 25429-25442 (2024)- [j15]Eko Prasetyo, Nanik Suciati, Chastine Fatichah, Aminin, Eric Pardede:
Standardizing the fish freshness class during ice storage using clustering approach. Ecol. Informatics 80: 102533 (2024) - [j14]Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati, Choiru Za'in:
Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation. Neural Comput. Appl. 36(13): 7529-7544 (2024) - 2023
- [j13]Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati:
Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review. IEEE Access 11: 16108-16127 (2023) - [j12]Andre, Nanik Suciati, Hadziq Fabroyir, Eric Pardede:
Educational Data Mining Clustering Approach: Case Study of Undergraduate Student Thesis Topic. IEEE Access 11: 130072-130088 (2023) - [j11]I Wayan Agus Surya Darma, Nanik Suciati, Daniel Siahaan:
CARVING-DETC: A network scaling and NMS ensemble for Balinese carving motif detection method. Vis. Informatics 7(3): 1-10 (2023) - [c14]Hilya Tsaniya, Chastine Fatichah, Nanik Suciati:
Comparison of sampling methods for handling imbalance data in deep learning-based predictions of chest X-ray abnormality tags. ICMHI 2023: 6-10 - [c13]Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati:
Identification of Acute Lymphoblastic Leukemia Subtypes on a Microscopic Image of Multicellular Blood Using Object Detection Model with Swin Transformer. ICMHI 2023: 280-286 - [c12]Misbachul Falach Asy'ari, Chastine Fatichah, Nanik Suciati:
Parking Space Detection in Different Weather Conditions Based on YOLOv5 Method. ICSECS 2023: 96-100 - 2022
- [j10]Nanik Suciati, Ni Putu Sutramiani, Daniel Siahaan:
LONTAR_DETC: Dense and High Variance Balinese Character Detection Method in Lontar Manuscripts. IEEE Access 10: 14600-14609 (2022) - [j9]Monica Widiasri, Agus Zainal Arifin, Nanik Suciati, Chastine Fatichah, Eha Renwi Astuti, Rarasmaya Indraswari, Ramadhan Hardani Putra, Choiru Za'in:
Dental-YOLO: Alveolar Bone and Mandibular Canal Detection on Cone Beam Computed Tomography Images for Dental Implant Planning. IEEE Access 10: 101483-101494 (2022) - [j8]I Wayan Agus Surya Darma, Nanik Suciati, Daniel Siahaan:
GFF-CARVING: Graph Feature Fusion for the Recognition of Highly Varying and Complex Balinese Carving Motifs. IEEE Access 10: 129217-129230 (2022) - [j7]Eko Prasetyo, Nanik Suciati, Chastine Fatichah:
Yolov4-tiny with wing convolution layer for detecting fish body part. Comput. Electron. Agric. 198: 107023 (2022) - [j6]Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati:
Single level UNet3D with multipath residual attention block for brain tumor segmentation. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3247-3258 (2022) - [j5]Fajar Astuti Hermawati, Handayani Tjandrasa, Nanik Suciati:
Phase-based thresholding schemes for segmentation of fetal thigh cross-sectional region in ultrasound images. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4448-4460 (2022) - [j4]Eko Prasetyo, Nanik Suciati, Chastine Fatichah:
Multi-level residual network VGGNet for fish species classification. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 5286-5295 (2022) - [c11]Diana Purwitasari, Fariz Ardin Adhiyasa, Nanik Suciati, Hadziq Fabroyir, Surya Sumpeno, Mauridhi Hery Purnomo:
An Immersive Approach for Scholar Profile Visualization. CIVEMSA 2022: 1-6 - 2021
- [j3]Anny Yuniarti, Agus Zainal Arifin, Nanik Suciati:
A 3D template-based point generation network for 3D reconstruction from single images. Appl. Soft Comput. 111: 107749 (2021) - [j2]Ni Putu Sutramiani, Nanik Suciati, Daniel Siahaan:
MAT-AGCA: Multi Augmentation Technique on small dataset for Balinese character recognition using Convolutional Neural Network. ICT Express 7(4): 521-529 (2021) - [c10]Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati:
Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 182-193 - [c9]Eko Prasetyo, Nanik Suciati, Chastine Fatichah:
Yolov4-tiny and Spatial Pyramid Pooling for Detecting Head and Tail of Fish. ICAICST 2021: 157-161 - 2020
- [c8]Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati:
Modified MobileNet for Patient Survival Prediction. BrainLes@MICCAI (2) 2020: 374-387
2010 – 2019
- 2019
- [j1]Rarasmaya Indraswari, Takio Kurita, Agus Zainal Arifin, Nanik Suciati, Eha Renwi Astuti:
Multi-projection deep learning network for segmentation of 3D medical images. Pattern Recognit. Lett. 125: 791-797 (2019) - 2018
- [c7]Rarasmaya Indraswari, Takio Kurita, Agus Zainal Arifin, Nanik Suciati, Eha Renwi Astuti, Dini Adni Navastara:
3D Region Merging for Segmentation of Teeth on Cone-Beam Computed Tomography Images. SCIS&ISIS 2018: 341-345 - 2015
- [c6]Nanik Suciati, Darlis Herumurti, Arya Yudhi Wijaya:
Fractal-based texture and HSV color features for fabric image retrieval. ICCSCE 2015: 178-182 - [c5]Chastine Fatichah, Nanik Suciati, Bilqis Amaliah, Nuru Aini:
Nuclei segmentation of microscopic breast cancer image using Gram-Schmidt and cluster validation algorithm. ICCSCE 2015: 236-241 - 2014
- [c4]Chastine Fatichah, Abdullah M. Iliyasu, Khaled Ali Abuhasel, Nanik Suciati, Mohammed A. Al-Qodah:
Principal component analysis-based neural network with fuzzy membership function for epileptic seizure detection. ICNC 2014: 186-191 - [c3]Nanik Suciati, Winny Adlina Pratomo, Diana Purwitasari:
Batik Motif Classification Using Color-Texture-Based Feature Extraction and Backpropagation Neural Network. IIAI-AAI 2014: 517-521 - 2013
- [c2]Nanik Suciati, Anny Yuniarti, Chastine Fatichah, Rizky Januar Akbar:
Spline and color representation for batik design modification. IC3INA 2013: 173-177 - 2010
- [c1]Nanik Suciati, Koichi Harada:
Smooth Detail Features on Multiresolution Surface. ICCVG (2) 2010: 300-308
Coauthor Index
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last updated on 2024-08-04 19:12 CEST by the dblp team
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