On the convergence of EM-like algorithms for image segmentation using Markov random fields. - Alexis Roche; Delphine Ribes; Meritxell Bach Cuadra; Gunnar Krüger (Medical Image Anal., 2011)

US/CT registration framework for higher instrument guidance accuracy in open liver surgery. - Delphine Ribes; Matthias Peterhans; Daphné Wallach; Vanessa Banz; Gregor Stavrou; Stefan Weber 002 (CURAC, 2012)

Optimized workflow for US/MeVis-CT based registration in image guided liver surgery. - Delphine Ribes; Matthias Peterhans; Sylvain Anderegg; Stefan Weber 002 (CURAC, 2013)

Clinical Validation of Ultrasound to CT Registration for Image-Guided Liver Surgery. - Huanxiang Lu; Delphine Ribes; Matthias Peterhans; Vanessa Banz; Pascale Tinguely; Corina-Kim fuchs; Daniel Candinas; Stefan Weber 002 (CURAC, 2015)

Food Talks: Visual and Interaction Principles for Representing Environmental and Nutritional Food Information in Augmented Reality. - Andreas Sonderegger; Delphine Ribes; Nicolas Henchoz; Emily Groves (ISMAR Adjunct, 2019)

Trust Indicators and Explainable AI: A Study on User Perceptions. - Delphine Ribes; Nicolas Henchoz; Hélène Portier; Lara Défayes; Thanh-Trung Phan; Daniel Gatica-Perez; Andreas Sonderegger (INTERACT (2), 2021)

Ming Shan Digital Experience: Immersive Technology for Traditional Taoist Meditation. - Nicolas Henchoz; Margaux Charvolin; Delphine Ribes; Lara Défayes; Cédric Duchêne; Emily Groves; Andreas Sonderegger (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Toward Automatic Typography Analysis: Serif Classification and Font Similarities. - Syed Talal Wasim; Romain Collaud; Lara Défayes; Nicolas Henchoz; Mathieu Salzmann; Delphine Ribes Lemay (J. Data Min. Digit. Humanit., 2024)

Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users. - Danpeng Cai; Emily Groves; Lara Défayes; Adrian Naas; Nicolas Gninenko; Payam S. Shabestari; Nicolas Henchoz; Tobias Kleinjung; Andreas Sonderegger; Patrick Neff; Delphine Ribes Lemay (CBMS, 2025)

Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training 'In the Wild': A Feasibility Study on Home Treatment. - Adrian Naas; Andreas Sonderegger; Delphine Ribes Lemay; Payam S. Shabestari; Martin Meyer 001; Patrick Neff (CBMS, 2025)

ANT - Advancing Neurofeedback (In Tinnitus). - Patrick Neff; Danpeng Cai; Emily Groves; Lara Défayes; Sebastian Baez-Lugo; Adrian Naas; Payam S. Shabestari; Nicolas Henchoz; Andreas Sonderegger; Delphine Ribes; Tobias Kleinjung (CBMS, 2025)

Advances on Real Time M/EEG Neural Feature Extraction. - Payam S. Shabestari; Delphine Ribes; Lara Défayes; Danpeng Cai; Emily Groves; Harry H. Behjat; Dimitri Van De Ville; Tobias Kleinjung; Adrian Naas; Nicolas Henchoz; Andreas Sonderegger; Patrick Neff (CBMS, 2025)

Explainable AI and Trust, Design Methodologies to Explore Patients' Perspective. - Wen Zhan; Margherita Motta; Sebastian Baez-Lugo; Nicolas Henchoz; Meritxell Bach Cuadra; Delphine Ribes Lemay (CBMS, 2025)

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - Nataliia Molchanova; Pedro M. Gordaliza; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Haris Tsagkas; Daniel S. Reich; Anna Stölting; Pietro Maggi; et al. (CoRR, 2025)