Santiago Cepeda

According to our database, Santiago Cepeda authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models.

Santiago Cepeda, Roberto Romero, Daniel García-Pérez, Guillermo Blasco, Luigi Tommaso Luppino, Samuel Kuttner, Ignacio Arrese, Ole Solheim, Live Eikenes, Anna Karlberg, Angel Perez-Nunez, Trinidad Escudero, Roberto Hornero, Rosario Sarabia

CoRR, 2024

Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIs.

Katharina Ott, Santiago Cepeda, Dennis Hartmann, Frank Kramer, Dominik Müller

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage.

Sergio Garcia-Garcia, Santiago Cepeda, Ignacio Arrese, Rosario Sarabia

CoRR, 2023

Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan.

Sergio Garcia-Garcia, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramon Torne, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia

CoRR, 2023

The Rio Hortega University Hospital Glioblastoma dataset: a comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM).

Santiago Cepeda, Sergio Garcia-Garcia, Ignacio Arrese, Francisco Herrero, Trinidad Escudero, Tomas Zamora, Rosario Sarabia

CoRR, 2023