Semi-automated method for brain hematoma and edema quantification using computed tomography. - Anton Bardera; Imma Boada; Miquel Feixas; Sebastian Remollo; Gerard Blasco; Yolanda Silva; Salvador Pedraza (Comput. Medical Imaging Graph., 2009)

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks. - Valeriia Abramova; Albert Clérigues; Ana Quiles; Deysi Garcia Figueredo; Yolanda Silva; Salvador Pedraza; Arnau Oliver; Xavier Lladó (Comput. Medical Imaging Graph., 2021)

Accuracy of a Smartwatch to Assess Heart Rate Monitoring and Atrial Fibrillation in Stroke Patients. - Claudia Meza; Jesus Juega; Jaume Francisco; Alba Santos; Laura Duran; Maite Rodriguez; Jose Alvarez-Sabin; Laia Sero; Xavier Ustrell; Saima Bashir; Joaquín Serena; Yolanda Silva; et al. (Sensors, 2023)

Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework. - Cansu Yalcin; Valeriia Abramova; Mikel Terceño; Arnau Oliver; Yolanda Silva; Xavier Lladó (Comput. Medical Imaging Graph., 2024)

Non-photorealistic rendering as a feedback strategy in virtual reality for rehabilitation. - David Quintana; Antonio Rodríguez; Mateu Sbert; Yolanda Silva; Elisvan Rufino; Imma Boada (Virtual Real., 2024)

A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. - Ciro Russo; Giulio Russo; Arnau Oliver; Xavier Lladó; Mikel Terceño; Yolanda Silva; Alessandro Bria; Claudio Marrocco (CBMS, 2025)