Nanik Suciati

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 24

Top Topics

Microscopic Images

Backpropagation Neural Network

Top Venues

J. King Saud Univ. Comput. Inf. Sci.

Publications

Eko Prasetyo, Nanik Suciati, Chastine Fatichah, Aminin, Eric Pardede
Standardizing the fish freshness class during ice storage using clustering approach. Ecol. Informatics 80 (2024)
Hilya Tsaniya, Chastine Fatichah, Nanik Suciati
Automatic Radiology Report Generator Using Transformer With Contrast-Based Image Enhancement. IEEE Access 12 (2024)
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) (2024)
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)
Misbachul Falach Asy'ari, Chastine Fatichah, Nanik Suciati
Parking Space Detection in Different Weather Conditions Based on YOLOv5 Method. ICSECS (2023)
Andre, Nanik Suciati, Hadziq Fabroyir, Eric Pardede
Educational Data Mining Clustering Approach: Case Study of Undergraduate Student Thesis Topic. IEEE Access 11 (2023)
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) (2023)
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)
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 (2023)
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) (2022)
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 (2022)
Eko Prasetyo, Nanik Suciati, Chastine Fatichah
Yolov4-tiny with wing convolution layer for detecting fish body part. Comput. Electron. Agric. 198 (2022)
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 (2022)
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) (2022)
Diana Purwitasari, Fariz Ardin Adhiyasa, Nanik Suciati, Hadziq Fabroyir, Surya Sumpeno, Mauridhi Hery Purnomo
An Immersive Approach for Scholar Profile Visualization. CIVEMSA (2022)
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) (2022)
Nanik Suciati, Ni Putu Sutramiani, Daniel Siahaan
LONTAR_DETC: Dense and High Variance Balinese Character Detection Method in Lontar Manuscripts. IEEE Access 10 (2022)
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) (2021)
Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati
Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Anny Yuniarti, Agus Zainal Arifin, Nanik Suciati
A 3D template-based point generation network for 3D reconstruction from single images. Appl. Soft Comput. 111 (2021)
Eko Prasetyo, Nanik Suciati, Chastine Fatichah
Yolov4-tiny and Spatial Pyramid Pooling for Detecting Head and Tail of Fish. ICAICST (2021)
Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati
Modified MobileNet for Patient Survival Prediction. BrainLes@MICCAI (2) (2020)
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 (2019)
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)
Chastine Fatichah, Nanik Suciati, Bilqis Amaliah, Nuru Aini
Nuclei segmentation of microscopic breast cancer image using Gram-Schmidt and cluster validation algorithm. ICCSCE (2015)
Nanik Suciati, Darlis Herumurti, Arya Yudhi Wijaya
Fractal-based texture and HSV color features for fabric image retrieval. ICCSCE (2015)
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)
Nanik Suciati, Winny Adlina Pratomo, Diana Purwitasari
Batik Motif Classification Using Color-Texture-Based Feature Extraction and Backpropagation Neural Network. IIAI-AAI (2014)
Nanik Suciati, Anny Yuniarti, Chastine Fatichah, Rizky Januar Akbar
Spline and color representation for batik design modification. IC3INA (2013)
Nanik Suciati, Koichi Harada
Smooth Detail Features on Multiresolution Surface. ICCVG (2) (2010)