Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning. - John K. Lewis; Imad Eddine Toubal; Helen Chen; Vishal Sandesera; Michael Lomnitz; Zigfried Hampel-Arias; Prasad Calyam; Kannappan Palaniappan (AIPR, 2020)

Deep Learning Semantic Segmentation for High-Resolution Medical Volumes. - Imad Eddine Toubal; Ye Duan; Deshan Yang (AIPR, 2020)

Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images. - Gani Rahmon; Imad Eddine Toubal; Kannappan Palaniappan (AIPR, 2021)

Single View Facial Age Estimation Using Deep Learning with Cascaded Random Forests. - Imad Eddine Toubal; Linquan Lyu; Dan Lin; Kannappan Palaniappan (CAIP (2), 2021)

Multi-Expert Deep Networks for Multi-Disease Detection in Retinal Fundus Images. - Linquan Lyu; Imad Eddine Toubal; Kannappan Palaniappan (EMBC, 2022)

Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data. - Gani Rahmon; Imad Eddine Toubal; D. D. W. Cornelison; Kannappan Palaniappan (AIPR, 2023)

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. - Elham Soltanikazemi; Ashwin Dhakal; Bijaya Kumar Hatuwal; Imad Eddine Toubal; Armstrong Aboah; Kannappan Palaniappan (AIPR, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy. - Elham Soltani Kazemi; Imad Eddine Toubal; Gani Rahmon; Taci Kucukpinar; Mohamed Almansour; Mai-Lan Ho; Kannappan Palaniappan (BONBID-HIE@MICCAI, 2023)

Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation. - Imad Eddine Toubal; Elham Soltani Kazemi; Gani Rahmon; Taci Kucukpinar; Mohamed Almansour; Mai-Lan Ho; Kannappan Palaniappan (BONBID-HIE@MICCAI, 2023)

Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. - Imad Eddine Toubal; Aditya Avinash; Neil Gordon Alldrin; Jan Dlabal; Wenlei Zhou; Enming Luo; Otilia Stretcu; Hao Xiong; Chun-Ta Lu; Howard Zhou; Ranjay Krishna; Ariel Fuxman; et al. (CVPR, 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation. - Gani Rahmon; Kannappan Palaniappan; Imad Eddine Toubal; Filiz Bunyak; Raghuveer Rao; Guna Seetharaman (Int. J. Comput. Vis., 2024)

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. - Mohammad Beheshti; Imad Eddine Toubal; Khuder Alaboud; Mohammed Almalaysha; Olabode B. Ogundele; Hamza Turabieh; Nader Abdalnabi; Suzanne A. Boren; Grant J. Scott; Butros M. Dahu (Informatics, 2025)

HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback. - Elham Soltani Kazemi; Imad Eddine Toubal; Gani Rahmon; Jaired Collins; Kannappan Palaniappan (CoRR, 2025)