Search Publication

Export 349 results:
Author Title [ Type(Desc)] Year
Filters: First Letter Of Last Name is P  [Clear All Filters]
Conference Paper
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)
Jimenez L, Vilardel F, Petit A, Dorca E, Soler-Monsó T, Ramos-Oliver I, et al.. Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer. In 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care - MICCAI2025. In Press.
Jimenez L, Vilardel F, Petit A, Dorca E, Soler-Monsó T, Ramos-Oliver I, et al.. Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer. In 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care - MICCAI2025. In Press.
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.
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.
Xu L-Q, Landabaso J-L, Pardàs M. Shadow removal with blob-based Morphological Reconstruction for Error Corretion. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005. pp. 729–732.
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016.  (466.13 KB)
Landabaso J-L, Lizcano L, Pardàs M. Shape from Inconsistent Silhouette for Free Viewpoint Video. In IEEE International Conference on Image Processing. 2008. pp. 213–216.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In 6th International Conference AMDO 2010. 2010. pp. 88–97.
Casas J, Puig-Sitjes A, Puig-Folch P. Spatial-temporal Video Analysis for Improved Pedestrian Detection: Application to Density Estimation and Tracking in Demonstrations. In Image Analysis for Multimedia Interactive Services. 2004. pp. 334–346.  (651.21 KB)
Casas J, Puig-Sitjes A, Puig-Folch P. Spatial-temporal Video Analysis for Improved Pedestrian Detection: Application to Density Estimation and Tracking in Demonstrations. In Image Analysis for Multimedia Interactive Services. 2004. pp. 334–346.  (651.21 KB)
Canton-Ferrer C, Casas J, Pardàs M. Spatio-temporal alignment and hyperspherical radon transform for 3D gait recognition in multi-view environments. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 116–121.
Puig-Sitjes A, Casas J, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Pont-Tuset J, Marqués F. Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012.  (421.65 KB)
Giardina C, Vilaplana V, Pardàs M, Guardia O. Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models. In Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop. 2024.
Giró-i-Nieto X, Ventura C, Pont-Tuset J, Cortés S, Marqués F. System architecture of a web service for Content-Based Image Retrieval. In ACM International Conference On Image And Video Retrieval 2010. 2010. pp. 358–365.

Pages