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Conference Paper
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.  (330.58 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Canton-Ferrer C, Casas J, Pardàs M. Real-time 3D multi-person tracking using Monte Carlo surface sampling. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 40–46.
Alcoverro M, López-Méndez A, Casas J, Pardàs M. A real-time body tracking system for smart rooms. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.
Morros JR, Broquetas A, Mateo A, Puig J, Davins M. Real-time lane classification and accident detection for safer micromobility. In 11th Internationa Congress on Transportation Research. Heraklion, Crete; 2023.  (2.28 MB)
López-Méndez A, Alcoverro M, Pardàs M, Casas J. Real-time upper body tracking with online initialization using a range sensor. In 2011 IEEE International Conference on Computer VIsion Workshops (ICCV Workshops). 2011. pp. 391–398.  (912.22 KB)
Landabaso J-L, Pardàs M, Casas J. Reconstruction of 3D shapes considering inconsistent 2D silhouettes. In International Conference on Image Processing. 2006. pp. 1–4.  (1.88 MB)
Pardàs M, Canet G. Refinement network for unsupervised on the scene foreground segmentation. In EUSIPCO European Signal Processing Conference. European Association for Signal Processing (EURASIP); 2020.
Dorea C, Pardàs M, Marqués F. A region-based algorithm for image segmentation and parametric motion estimation. In Image Analysis for Multimedia Interactive Services. 2004.
Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017.  (3.14 MB)
Jiménez X, Figueiras F, Marqués F, Salembier P, Herance R, Rojas S, et al.. Registration of Multi-Modal Neuroimaging Datasets by Considering the Non-Overlapping Field of View into the NMI Calculation. In IEEE International Symposium on Biomedical Imaging, ISBI 2012. Barcelona, Spain; 2012.
Pardàs M. Relative depth estimation and segmentation in monocular sequences. In 1997 PICTURE CODING SYMPOSIUM. 1997. pp. 367–372.
Gallego J, Pardàs M. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014.  (7.46 MB)
Landabaso J-L, Pardàs M, Xu L-Q. Robust Tracking and Object Classification Towards Automated Video Surveillance. In International Conference on Image Analysis and Recognition. 2004. pp. 46333–470.
Pan J, Canton-Ferrer C, McGuinness K, O'Connor N, Torres J, Sayrol E, et al.. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017.  (1.85 MB)
Gallego J, Pardàs M. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
Marqués F, Salembier P, Pardàs M, Morros JR, Corset I, Jeannin S, et al.. A segmentation-based coding system allowing manipulation of objects. In IEEE International Conference on Image Processing, ICIP 1996. Lausanne, Switzerland; 1996. pp. 145–175.  (245.6 KB)
Salembier P, Marqués F, Pardàs M. Segmentation-based video coding: temporal links and rate control. In VIII European Signal Processing Conference, EUSIPCO'96. Trieste, Italy; 1996. pp. 455–458.  (275.97 KB)
Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
Hernandez C, Vilaplana V, Combalia M, García S, Podlipnik S, Burgos J, et al.. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In European Association of Dermato Oncology (EADO 2022). 2022.

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