Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography. - Thi Kieu Khanh Ho; Jeonghwan Gwak; Om Prakash 001; Jong-In Song; Chang Min Park (ACIIDS (2), 2019)

Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences From RNA A-to-I Editing Events. - Thi Kieu Khanh Ho; Jeonghwan Gwak (IEEE Access, 2019)

Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches. - Thi Kieu Khanh Ho; Jeonghwan Gwak; Chang Min Park; Jong-In Song (IEEE Access, 2019)

Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-Ray Abnormalities. - Thi Kieu Khanh Ho; Jeonghwan Gwak (IEEE Access, 2020)

Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews. - Junho Ahn; Thi Kieu Khanh Ho; Jaeyong Kang; Jeonghwan Gwak (J. Medical Imaging Health Informatics, 2020)

Self-Supervised Anomaly Detection: A Survey and Outlook. - Hadi Hojjati; Thi Kieu Khanh Ho; Narges Armanfard (CoRR, 2022)

Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. - Thi Kieu Khanh Ho; Narges Armanfard (AAAI, 2023)

Graph-based Time-Series Anomaly Detection: A Survey. - Thi Kieu Khanh Ho; Ali Karami; Narges Armanfard (CoRR, 2023)

Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals. - Thi Kieu Khanh Ho; Narges Armanfard (CoRR, 2023)

Open-Set Multivariate Time-Series Anomaly Detection. - Thomas Lai; Thi Kieu Khanh Ho; Narges Armanfard (ECAI, 2024)

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook. - Hadi Hojjati; Thi Kieu Khanh Ho; Narges Armanfard (Neural Networks, 2024)

Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models. - Thi Kieu Khanh Ho; Narges Armanfard (UAI, 2025)

Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection. - Ali Karami; Thi Kieu Khanh Ho; Narges Armanfard (WACV, 2025)

Graph Anomaly Detection in Time Series: A Survey. - Thi Kieu Khanh Ho; Ali Karami; Narges Armanfard (IEEE Trans. Pattern Anal. Mach. Intell., 2025)