Novel approach in speaker identification using support vector machines. - Navid Rabbani; Mohammad Hosein Sedaaghi (ISSPA, 2007)

A Novel Feature Extraction and Selection Method for Steel Sheet Defects Classification. - Navid Rabbani; Mohammad Alamdari; Mohammad Rohollah Yazdani; Farhad Imanpour (VISAPP (1), 2009)

Efficient Bayesian approach to saliency detection based on Dirichlet process mixture. - Navid Rabbani; Behzad Nazari; Saeid Sadri; Reyhaneh Rikhtehgaran (IET Image Process., 2017)

Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry. - Md. Kamrul Hasan 002; Lilian Calvet; Navid Rabbani; Adrien Bartoli (Medical Image Anal., 2021)

Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation. - Navid Rabbani; Callyane Sève-d'Erceville; Nicolas Bourdel; Adrien Bartoli (MIDL, 2022)

A methodology and clinical dataset with ground-truth to evaluate registration accuracy quantitatively in computer-assisted Laparoscopic Liver Resection. - Navid Rabbani; Lilian Calvet; Yamid Espinel; Bertrand Le Roy; Mathieu Ribeiro; Emmanuel Buc; Adrien Bartoli (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Unsupervised Confidence Approximation: Trustworthy Learning from Noisy Labelled Data. - Navid Rabbani; Adrien Bartoli (ICCV (Workshops), 2023)

A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation. - Navid Rabbani; Adrien Bartoli (DALI@MICCAI, 2023)

Keyhole-aware laparoscopic augmented reality. - Yamid Espinel; Navid Rabbani; Thien Bao Bui; Mathieu Ribeiro; Emmanuel Buc; Adrien Bartoli (Medical Image Anal., 2024)

Can surgical computer vision benefit from large-scale visual foundation models? - Navid Rabbani; Adrien Bartoli (Int. J. Comput. Assist. Radiol. Surg., 2024)

The RoDEM benchmark: evaluating the robustness of monocular single-shot depth estimation methods in minimally-invasive surgery. - Rasoul Sharifian; Navid Rabbani; Adrien Bartoli (Int. J. Comput. Assist. Radiol. Surg., 2025)