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Author Title Type [ Year(Asc)]
2018
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.
Fojo D, Campos V, Giró-i-Nieto X. Comparing Fixed and Adaptive Computation Time for Recurrent Neural Network. In International Conference on Learning Representations (ICLR). Vancouver, Canada; 2018.  (515.54 KB)
Surís D, Duarte A, Salvador A, Torres J, Giró-i-Nieto X. Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018.  (1.07 MB)
Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.
Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.  (11.05 MB)
Moreno D, Costa-jussà MR, Giró-i-Nieto X. English to ASL Translator for Speech2Signs. 2018.  (1.54 MB)
Escur J. Exploring Automatic Speech Recognition with TensorFlow. Costa-jussà MR, Giró-i-Nieto X. 2018.  (829.82 KB)
Gené-Mola J, Gregorio E, Guevara J, Auat F, Escolà A, Morros JR, et al.. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
Batiste G. Generative Adversarial Networks for Anomaly Detection in Images. Vilaplana V. 2018.
Sanchez-Escobedo D, Lin X, Casas J, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.  (1.14 MB)
Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Campos V, Giró-i-Nieto X, Torres J. Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018.  (362.25 KB)
Alsina A. An interactive Lifelog Search Engine for LSC2018. Gurrin C, Giró-i-Nieto X. 2018.  (2.75 MB)
Alsina A, Giró-i-Nieto X, Gurrin C. An Interactive Lifelog Search Engine for LSC2018. In Lifelog Search Challenge workshop at ICMR2018. Yokohama, Japan: ACM; 2018.  (584.27 KB)
Dimiccoli M, Gurrin C, Crandall D, Giró-i-Nieto X, Radeva P. Introduction to the special issue: Egocentric Vision and Lifelogging. Journal of Visual Communication and Image Representation. 2018;.  (116.21 KB)
Giró-i-Nieto X. Learning Where and When to Look. 2018.
Górriz M, Aparicio A, Raventós B, López-Codina D, Vilaplana V, Sayrol E. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
Górriz M, Aparicio A, Raventós B, Vilaplana V, Sayrol E, López-Codina D. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62.
Fernàndez D, Bou-Balust E, Giró-i-Nieto X. Linking Media: adopting Semantic Technologies for multimodal media connection. In International Semantic Web Conference - ISWC (Industry Track). Monterey, CA, USA; 2018.  (265.23 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Method for upscaling an image and apparatus for upscaling an image. US 20170132759 A1; 2018.
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
Combalia M, Vilaplana V. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.

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