Come study with us: Master in Computational Biomedical Engineering Master

Computational techniques in biomedical engineering are the main focus of our master. This comprises the quantitative analysis of biomedical images and signals as well as the modeling of living organisms and medical devices. Starting at the cellular level up to the level of whole organisms, the different analysis and modeling projects will cover many different scales of biological organization. Concrete examples include the analysis of electroencephalographic recordings from epilepsy patients, the design of surgical tools, or the self-organization of single cells and cellular populations in health and disease.

To register please visit the master's website

 

2020

  • VIDAA: A web-based platform for thepre-operative planning of left atrialappendage occluder implantations. Student: Ainhoa Aguado. Supervisors: Oscar Cámara (PhySense research group).
  • Reconstruction and validation of electrocardiographic imaging: inverse problems. Student: Marta Borràs. Supervisors: Judit Chamorro (PhySense research group).
  • Deep Learning based classification of printed ECG signals using Augmented Reality technologies. Student: Paula Lampreave. Supervisors: Oscar Cámara (PhySense research group).
  • Microwave imaging for colorectal cancer quantification. Student: María Prado. Supervisor: Judit Chamorro (PhySense research group).
  • Reinforcement Learning LandmarkDetection Evaluation For Cardiac Applications. Student: Marcos Mejía. Supervisor: Oscar Cámara (PhySense research group).
  • Virtual reality platform for left atrial appendage occlusion device implantation. Student: Elodie Melina. Supervisor: Oscar Cámara (PhySense research group).
  • Sensitivity analysis of parameters in brain growth simulation modelling. Student: Sara Azidane. Supervisors: Oscar Cámara, Mireia Alenyà (PhySense research group).

2019

  • Assessment of type 2 diabetes mellitus over brain through the analysis of structureal and functional MRI features. Student: Carlos Antequera. Supervisors: Gemma Piella (Simbiosys research group), Oscar Camara (PhySense research group), Deborah Pareto (Hospital de la Vall d'Hebron)
  • Left atrium blood flow characterisation using 4D Flow MRI and CFD. Student: Agustín Galán. Supervisors: Oscar Camara, Andy Olivares (PhySense research group), Andrea Guala (Hospital de la Vall d'Hebron)
  • Characterization of patients with Heart Failure with Preserved Ejection Fraction using Machine Learning. Student: Pablo-Miki Martí. Supervisors: Bart Bijnens, Sergio Sánchez-Martínez (PhySense research group), Scott Solomon (Brigham's and Women's Hospital, Boston, USA)
  • Deep Learning surrogate of Computational Fluid Dynamics. Student: Xabier Morales. Supervisors: Oscar Camara (PhySense research group). Collaborators: Denmark Technical University. Scientific dissemination: first author to two contributions at STACOM'19 and CSI-LAAO'19 international conferences (see Publications list) 

2018

  • Stented heart simulation. Student: Susana Amorós. Supervisors: Bart Bijnens (PhySense research group).
  • Cardiac MRI segmentation based on multi-atlas registration and radiomics. Student: Sara Andrés. Supervisors: Karim Lekadir (Simbiosys research group), Oscar Camara (PhySense research group). 
  • Statistical study of morphological and haemodynamics parameters with the risk of thrombus formation in the left atrial appendage. Student: Álvaro Fernández. Supervisors: Oscar Camara, Andy Olivares (PhySense research group). Collaborators: Hospital Clínic de Barcelona, Cardiovascular Centre Aalst (Belgium). Scientific dissemination: co-author of a journal article and in two contributions at STACOM'18 international conference (see Publications list).
  • Shape characterization of left atrial appendage. Student: Ibai Genua. Supervisors: Oscar Camara, Marta Núñez, Andy Olivares (PhySense research group). Collaborators: Hospital Clínic de Barcelona, Cardiovascular Centre Aalst (Belgium). Scientific dissemination: co-author of a journal article and in two contributions at STACOM'18 international conference (see Publications list).

2017

  • Validation of tDCS simulation. Student: Jaume Banús. Supervisors: Antoni Ivorra (BERG research group), Miguel Ángel González Ballester (Simbiosys research group), Oscar Camara (PhySense research group), Ricardo Salvador (Neuroelectrics). Collaborators: Neuroelectrics. Scientific dissemination: co-author of one journal article and three contributions at BSC'17 international conference (see Publications list).
  • Assessment of Haemodynamic Remodeling in Fetal Aortic Coarctation using a Lumped Model of the Circulation. Student: Paula Giménez. Supervisors: Bart Bijnens, Patricia García-Cañadilla (PhySense research group). Collaborators: Hospital Clínic de Barcelona, Fetal Medical Research Centre. Scientific dissemination: first author of a paper at FIMH'17 international conference (see Publications list).
  • A cloud-based cell segmentation benchmarking platform prototype. Student: Miguel Mendoza. Supervisors: Chong Zhang (Simbiosys research group), Carlos Yagüe (PhySense research group). 
  • Characterizing hippocampal morphology as a function of ApoE4 allele load in healthy middle-aged individuals. Student: Alicia Valero. Supervisors: Oscar Camara, Constantine Butakoff (PhySense research group), Gerard Sanroma (Simbiosys research group). Collaborators: Fundació Pasqual Maragall. Scientific dissemination: first author of a paper at ESMRMB'17 international conference (see Publications list).
  • In silico analysis of haemodynamics in patient-specific left atria. Student: Guadalupe García. Supervisors: Oscar Camara, Andy Olivares (PhySense research group). Collaborators: Hospital Clínic de Barcelona, Cardiovascular Centre Aalst (Belgium). Scientific dissemination: first author of a journal article and a contribution at ESC'17 international conference (see Publications list).