Pol Cirujeda

发表

Augmented poselets for human body pose inference by a probabilistic graphical model

Pol Cirujeda, Xavier Binefa, 2012, IMMPD '12.

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

Pol Cirujeda, Xavier Binefa, Henning Müller, 2016, IEEE Transactions on Medical Imaging.

A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver

Pol Cirujeda, Xavier Binefa, Yashin Dicente Cid, 2015, International Journal of Computer Vision.

Medical Image Classification via 2D color feature based Covariance Descriptors

Pol Cirujeda, Xavier Binefa, Xavier Binefa, 2015, CLEF.

MCOV: A Covariance Descriptor for Fusion of Texture and Shape Features in 3D Point Clouds

Pol Cirujeda, Xavier Binefa, Yashin Dicente Cid, 2014, 2014 2nd International Conference on 3D Vision.

3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT

Pol Cirujeda, Xavier Binefa, Henning Müller, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining Radiology Images and Clinical Metadata for Multimodal Medical Case-Based Retrieval

Pol Cirujeda, Henning Müller, Oscar Alfonso Jiménez del Toro, 2017, Cloud-Based Benchmarking of Medical Image Analysis.

4DCov: A Nested Covariance Descriptor of Spatio-Temporal Features for Gesture Recognition in Depth Sequences

Pol Cirujeda, Xavier Binefa, 2014, 2014 2nd International Conference on 3D Vision.

Dissociating rigid and articulated motion for hand tracking

Pol Cirujeda, Xavier Binefa, Luis Ferraz, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval

Pol Cirujeda, Henning Müller, Oscar Alfonso Jiménez del Toro, 2015, MRDM@ECIR.

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT.

Pol Cirujeda, Xavier Binefa, Adrien Depeursinge, 2016, IEEE transactions on medical imaging.