• D. Recasens, J. Lamarca, J. M. Fácil, J. M. M. Montiel, J. Civera, Endo-Depth-and-Motion: Localization and Reconstruction in Endoscopic Videos using Depth Networks and Photometric Constraints, Al IEEE Robotics and Automation Letters, 2021, link to pdf

  • J. Morlana, P. Azagra, J. Civera, JM. M. Montiel, Self-supervised visual place recognition for colonoscopy sequences, Medical Imaging with Deep Learning Conference, Lubeck, 2021, link to pdf

  • A. Sengupta and A. Bartoli, "Colonoscopic 3D Reconstruction by Tubular Non-Rigid Structure-from-Motion", IPCAI - International Conference on Information Processing in Computer-Assisted Interventions, 2021, link to pdf

  • J. J. Gómez Rodríguez, J. Lamarca, J. Morlana, J. D. Tardós, J. M. M. Montiel, ”SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes”, accepted to IEEE Int. Conference on Robotics and Automation, link to repository:

  • J. Lamarca, S. Parashar, A. Bartoli and J. M. M. Montiel, "DefSLAM: Tracking and Mapping of Deforming Scenes From Monocular Sequences", in IEEE Transactions on Robotics, vol. 37, no. 1, pp. 291-303, Feb. 2021, doi: 10.1109/TRO.2020.3020739.

  • F. Chadebecq, P. Mountney, O.F. Ahmad, R. Kader, L.B. Lovat, D. Stoyanov, ”Structure-from-motion analysis may generate an accurate automated bowel preparation score”, UEG Journal. Abstract Issue, p. 765, 2020, link to publication:

  • O. L. Barbed, “Extracción de características en imágenes de procedimientos médicos con técnicas de deep learning (Feature extraction on medical images with Deep Learning)”, master thesis supervised by Ana Cristina Murillo, University of Zaragoza, 2020.

  • D. Recasens, “Estimación de profundidad con redes neuronales profundas en vídeos de endoscopias (Depth estimation with deep neural networks in endoscopy videos)”, master thesis supervised by Javier Civera, University of Zaragoza, 2020.