Slow Conduction Regions as a Valuable Vectorcardiographic Parameter for the Non-Invasive Identification of Atrial Flutter Types. - Samuel Ruipérez-Campillo; Sergio Castrejón; Marcel Martínez; Raquel Cervigón; Olivier Meste; José Luis Merino; José Millet; Francisco Castells (CinC, 2020)

Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone. - Samuel Ruipérez-Campillo; Sergio Castrejón; Marcel Martínez; Raquel Cervigón; Olivier Meste; José Luis Merino; José Millet; Francisco Castells (Comput. Methods Programs Biomed., 2021)

ECG Analysis to Study Social Connections in Older Cardiac Patients. - María Luz Cardo; Alejandra Chuliàn; Samuel Ruipérez-Campillo; José Millet; Francisco Castells; Raquel Cervigón (CinC, 2022)

Autocorrelation Function for Predicting Arrhythmic Recurrences in Patients Undergoing Persistent Atrial Fibrillation Ablation. - Raquel Cervigón; Eduardo Franco; Samuel Ruipérez-Campillo; Cristina Lozano; Francisco Castells; Javier Moreno 002 (CinC, 2022)

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. - Roel C. Klein; Florence E. van Lieshout; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (CinC, 2022)

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. - Florence E. van Lieshout; Roel C. Klein; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (CinC, 2022)

Classification of Atrial Tachycardia Types Using Dimensional Transforms of ECG Signals and Machine Learning. - Samuel Ruipérez-Campillo; José Millet; Francisco Castells (CinC, 2022)

3D CNN as an Approach to Predict the Cerebral Performance of Comatose Patients. - Rafael Teodoro Ors-Quixal; Elisa Ramírez-Candela; Samuel Ruipérez-Campillo; Francisco Sales Castells Ramón; José Millet (CinC, 2023)

Heterogeneity Quantification of Electrophysiological Signal Propagation in High-Density Multielectrode Recordings. - Lucía Pancorbo; Samuel Ruipérez-Campillo; Francisco Castells; José Millet (CinC, 2023)

Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. - Maxime Pedron; Prasanth Ganesan; Ruibin Feng; Brototo Deb; Hui Chang; Samuel Ruipérez-Campillo; Sulaiman Somani; Yaanik Desai; Albert J. Rogers; Paul Clopton; Sanjiv M. Narayan (CinC, 2023)

Synchronization of Conventional Electrocardiogram Recordings for Accurate Vectorcardiography Reconstruction. - Elisa Ramírez; Samuel Ruipérez-Campillo; Francisco Castells; Rubén Casado-Arroyo; José Millet (CinC, 2023)

Assessment of the Interelectrode Distance Effect over the Omnipole with High Multielectrode Arrays. - M. Crespo; Samuel Ruipérez-Campillo; Rubén Casado-Arroyo; José Millet; Francisco Castells (EMBC, 2023)

Robust Framework for Medical Time Series Classification and Application to Real Scenarios in Modern Bioengineering. - Samuel Ruipérez-Campillo; Francisco Castells; José Millet (EMBC, 2023)

Mini Peltier Cell Array System for the Generation of Controlled Local Epicardial Heterogeneities. - Izan Segarra; Antonio Cebrián; Samuel Ruipérez-Campillo; Alvaro Tormos; Francisco Javier Chorro; Francisco Castells; Antonio Alberola; José Millet (EMBC, 2023)

Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays. - Francisco Castells; Samuel Ruipérez-Campillo; Izan Segarra; Raquel Cervigón; Rubén Casado-Arroyo; José Luis Merino; José Millet (Comput. Biol. Medicine, 2023)

EEG Tensorization Enhances CNN-Based Outcome Classification in Comatose Patients Following a Cardiac Arrest. - Rafael Teodoro Ors-Quixal; Samuel Ruipérez-Campillo; Francisco Sales Castells Ramón; José Millet (EMBC, 2024)

Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maarten Z. Kolk; Fleur V. Y. Tjong; Albert J. Rogers; Sanjiv M. Narayan; Julia E. Vogt (EMBC, 2024)

Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach. - Elisa Ramírez; Samuel Ruipérez-Campillo; Francisco Castells; Rubén Casado-Arroyo; José Millet (Biomed. Signal Process. Control., 2024)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology. - Nicolas Deperrois; Hidetoshi Matsuo; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Sonia Laguna; Alain Ryser; Koji Fujimoto; Mizuho Nishio; Thomas M. Sutter; Julia E. Vogt; Jonas Kluckert; Thomas Frauenfelder; et al. (CoRR, 2025)

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. - Boqi Chen; Cédric Vincent-Cuaz; Lydia A. Schoenpflug; Manuel Madeira; Lisa Fournier; Vaishnavi Subramanian; Sonali Andani; Samuel Ruipérez-Campillo; Julia E. Vogt; Raphaëlle Luisier; Dorina Thanou; Viktor H. Koelzer; et al. (CoRR, 2025)

Leveraging the Structure of Medical Data for Improved Representation Learning. - Andrea Agostini; Sonia Laguna; Alain Ryser; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Nicolas Deperrois; Farhad Nooralahzadeh; Michael Krauthammer; Thomas M. Sutter; Julia E. Vogt (CoRR, 2025)

Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach. - Lucas Erlacher; Samuel Ruipérez-Campillo; Holger Michel; Sven Wellmann; Thomas M. Sutter; Ece Ozkan; Julia E. Vogt (CoRR, 2025)

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maxime Pedron; Albert J. Rogers; Maarten Z. Kolk; Fleur V. Y. Tjong; Sanjiv M. Narayan; et al. (CoRR, 2025)