Software Failures Prediction in Self-Driving Vehicles. - Vajiheh Abedi; Mehrdad H. Zadeh; Javad Dargahi; Pedram Fekri (VTC Fall, 2020)

Deep Learning-Based Haptic Guidance for Surgical Skills Transfer. - Pedram Fekri; Javad Dargahi; Mehrdad Zadeh 001 (Frontiers Robotics AI, 2020)

A Deep Learning Force Estimator System for Intracardiac Catheters. - Pedram Fekri; Hamid Reza Nourani; Masoud Razban; Javad Dargahi; Mehrdad Zadeh 001; Ahmadreza Arshi (MeMeA, 2021)

Metalearning: Sparse Variable-Structure Automata. - Pedram Fekri; Ali Akbar Safavi; Mehrdad Hosseini Zadeh; Peyman Setoodeh (CoRR, 2021)

Corrigendum: Deep Learning-Based Haptic Guidance for Surgical Skills Transfer. - Pedram Fekri; Javad Dargahi; Mehrdad Hosseini Zadeh (Frontiers Robotics AI, 2021)

Y-Net: A Deep Convolutional Architecture for 3D Estimation of Contact Forces in Intracardiac Catheters. - Pedram Fekri; Hamidreza Khodashenas; Kevin Lachapelle; Renzo Cecere; Mehrdad Zadeh 001; Javad Dargahi (IEEE Robotics Autom. Lett., 2022)

Towards Surgical Skill Modeling in Cardiac Ablation Using Deep Learning. - Seyedfarzad Famouri; Pedram Fekri; Majid Roshanfar; Javad Dargahi (MMAR, 2023)

Kinematics Skill Modeling of Cardiac Catheterization via Deep Learning Method. - Seyedfarzad Famouri; Pedram Fekri; Javad Dargahi (ECAI, 2024)

A Brief Review on Recent Advances in Haptic Technology for Human-Computer Interaction: Force, Tactile, and Surface Haptic Feedback. - Nazih Mallouk; Majid Roshanfar; Pedram Fekri; Javad Dargahi (ICICT, 2024)

H-Net: A Multitask Architecture for Simultaneous 3D Force Estimation and Stereo Semantic Segmentation in Intracardiac Catheters. - Pedram Fekri; Mehrdad Zadeh 001; Javad Dargahi (IEEE Robotics Autom. Lett., 2025)

CTA: Cross-Task Alignment for Better Test Time Training. - Samuel Barbeau; Pedram Fekri; David Osowiechi; Ali Bahri; Moslem Yazdanpanah; Masih Aminbeidokhti; Christian Desrosiers (CoRR, 2025)