Malinda Vania

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Computed Tomography Images

Convolutional Neural Network

Recent Advances

Top Venues

J. Comput. Des. Eng.

Artif. Intell. Rev.

Publications

Malinda Vania, Bayu Adhi Tama, Hasan Maulahela, Sunghoon Lim
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. IEEE Access 11 (2023)
Bayu Adhi Tama, Malinda Vania, Seungchul Lee, Sunghoon Lim
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. Artif. Intell. Rev. 56 (5) (2023)
Bayu Adhi Tama, Malinda Vania, Iljung Kim, Sunghoon Lim
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. IEEE Access 10 (2022)
Malinda Vania, Deukhee Lee
Intervertebral disc instance segmentation using a multistage optimization mask-RCNN (MOM-RCNN). J. Comput. Des. Eng. 8 (4) (2021)
Jang Pyo Bae, Siyeop Yoon, Malinda Vania, Deukhee Lee
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations. J. Digit. Imaging 34 (1) (2021)
Malinda Vania, Deukhee Lee
Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial Networks. EMBC (2020)
Malinda Vania, Dawit Mureja, Deukhee Lee
Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels. J. Comput. Des. Eng. 6 (2) (2019)
Kihwan Choi, Malinda Vania, Sungwon Kim
Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN). EMBC (2019)
Malinda Vania, Dawit Mureja, Deukhee Lee
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling. CoRR (2017)