Ara es mostren els items 1-12 de 16

    • MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures 

      Mora Ballestar, Laura; Vilaplana Besler, Verónica (Springer Nature, 2021)
      Capítol de llibre
      Accés obert
      Automation of brain tumor segmentation in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs) have shown improved results ...
    • Enhancing online knowledge graph population with semantic knowledge 

      Fernández Cañellas, Dèlia; Rimmek, Joan Marco; Espadaler Rodés, Joan; Garolera Huguet, Blai; Barja Romero, Adrià; Codina, Marc; Sastre Rienitz, Marc; Giró Nieto, Xavier; Riveiro, Juan Carlos; Bou Balust, Elisenda (Springer, 2020-11-01)
      Capítol de llibre
      Accés obert
      Knowledge Graphs (KG) are becoming essential to organize, represent and store the world’s knowledge, but they still rely heavily on humanly-curated structured data. Information Extraction (IE) tasks, like disambiguating ...
    • Unsupervised GRN Ensemble 

      Bellot, Pau; Salembier Clairon, Philippe Jean; Pham, Ngoc C.; Meyer, Patrick E. (Springer, 2019)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Inferring gene regulatory networks from expression data is a very challenging problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has ...
    • Cascaded V-Net using ROI masks for brain tumor segmentation 

      Casamitjana Díaz, Adrià; Catà, Marcel; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
      Capítol de llibre
      Accés restringit per política de l'editorial
      This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, ...
    • Hierarchical object detection with deep reinforcement learning 

      Bellver, Míriam; Giró Nieto, Xavier; Marqués Acosta, Fernando; Torres Viñals, Jordi (IOS Press, 2017-11-23)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
    • Object retrieval with deep convolutional features 

      Mohedano, Eva; Salvador Aguilera, Amaia; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel; Marqués Acosta, Fernando (IOS Press, 2017-11-23)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
    • 3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures 

      Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Vilaplana Besler, Verónica (Springer, 2017-04-24)
      Capítol de llibre
      Accés obert
    • Time-consistent estimation of end-effectors from RGB-D data 

      Lin, Xiao; Pardàs Feliu, Montse; Casas Pla, Josep Ramon (Springer, 2016-02-04)
      Capítol de llibre
      Accés obert
      End-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable end-effectors of different ...
    • 3D point cloud video segmentation based on interaction analysis 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Springer, 2016-11-24)
      Capítol de llibre
      Accés obert
      Given the widespread availability of point cloud data from consumer depth sensors, 3D segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis. It ...
    • Neighborhood filters and the recovery of 3D information 

      Digne, Julie; Dimiccoli, Mariella; Sabater, Neus; Salembier Clairon, Philippe Jean (2015-09-01)
      Capítol de llibre
      Accés restringit per política de l'editorial
    • Neighborhood filters and the recovery of 3D information 

      Digne, Julie; Dimiccoli, Mariella; Salembier Clairon, Philippe Jean; Sabater, Neus (2011)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Following their success in image processing (see Chap. 26), neighborhood filters have been extended to 3D surface processing. This adaptation is not straightforward. It has led to several variants for surfaces depending ...
    • Region-based filtering of images and video sequences: a morphological viewpoint 

      Salembier Clairon, Philippe Jean (Academic Press, 2001)
      Capítol de llibre
      Accés restringit per política de l'editorial