Diagnostic classification of lung nodules using 3D neural networks. - Raunak Dey; Zhongjie Lu; Yi Hong 006 (ISBI, 2018)

CompNet: Complementary Segmentation Network for Brain MRI Extraction. - Raunak Dey; Yi Hong 006 (MICCAI (3), 2018)

Hybrid Cascaded Neural Network for Liver Lesion Segmentation. - Raunak Dey; Yi Hong 006 (ISBI, 2020)

An AI-enhanced Pattern Recognition Approach to Analyze Children's Embodied Interactions. - Ceren Ocak; Theodore J. Kopcha; Raunak Dey (ICCE, 2021)

ASC-Net: Adversarial-Based Selective Network for Unsupervised Anomaly Segmentation. - Raunak Dey; Yi Hong 006 (MICCAI (5), 2021)

ChatterHub: Privacy Invasion via Smart Home Hub. - Omid Setayeshfar; Karthika Subramani; Xingzi Yuan; Raunak Dey; Dezhi Hong; Kyu Hyung Lee; In Kee Kim (SMARTCOMP, 2021)

ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network. - Raunak Dey; Wenbo Sun; Haibo Xu; Yi Hong 006 (CoRR, 2021)

Privacy invasion via smart-home hub in personal area networks. - Omid Setayeshfar; Karthika Subramani; Xingzi Yuan; Raunak Dey; Dezhi Hong; In Kee Kim; Kyu Hyung Lee (Pervasive Mob. Comput., 2022)

An AI-enhanced pattern recognition approach to temporal and spatial analysis of children's embodied interactions. - Ceren Ocak; Theodore J. Kopcha; Raunak Dey (Comput. Educ. Artif. Intell., 2023)