Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling. - Malinda Vania; Dawit Mureja; Deukhee Lee (CoRR, 2017)

Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN). - Kihwan Choi; Malinda Vania; Sungwon Kim (EMBC, 2019)

Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels. - Malinda Vania; Dawit Mureja; Deukhee Lee (J. Comput. Des. Eng., 2019)

Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial Networks. - Malinda Vania; Deukhee Lee (EMBC, 2020)

Intervertebral disc instance segmentation using a multistage optimization mask-RCNN (MOM-RCNN). - Malinda Vania; Deukhee Lee (J. Comput. Des. Eng., 2021)

Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations. - Jang Pyo Bae; Siyeop Yoon; Malinda Vania; Deukhee Lee (J. Digit. Imaging, 2021)

An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. - Bayu Adhi Tama; Malinda Vania; Iljung Kim; Sunghoon Lim (IEEE Access, 2022)

Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. - Malinda Vania; Bayu Adhi Tama; Hasan Maulahela; Sunghoon Lim (IEEE Access, 2023)

Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. - Bayu Adhi Tama; Malinda Vania; Seungchul Lee; Sunghoon Lim (Artif. Intell. Rev., 2023)