Search

Your search keyword '"Lladó, Xavier"' showing total 482 results
Start Over Author "Lladó, Xavier"
Sorry, I don't understand your search. ×
482 results on '"Lladó, Xavier"'

52. Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm.

Author

Valverde, Sergi, Coll, Llucia, Valencia, Liliana, Clèrigues, Albert, Oliver, Arnau, Vilanova, Joan C., Ramió‐Torrentà, Lluís, Rovira, Àlex, and Lladó, Xavier

Subjects
DEEP learning, ALGORITHMS, MAGNETIC resonance imaging, MAGNETIC resonance, SCANNING systems
Abstract

Background: Manual brain extraction from magnetic resonance (MR) images is time‐consuming and prone to intra‐ and inter‐rater variability. Several automated approaches have been developed to alleviate these constraints, including deep learning pipelines. However, these methods tend to reduce their performance in unseen magnetic resonance imaging (MRI) scanner vendors and different imaging protocols. Purpose: To present and evaluate for clinical use PARIETAL, a pre‐trained deep learning brain extraction method. We compare its reproducibility in a scan/rescan analysis and its robustness among scanners of different manufacturers. Study Type: Retrospective. Population: Twenty‐one subjects (12 women) with age range 22–48 years acquired using three different MRI scanner machines including scan/rescan in each of them. Field Strength/Sequence: T1‐weighted images acquired in a 3‐T Siemens with magnetization prepared rapid gradient‐echo sequence and two 1.5 T scanners, Philips and GE, with spin‐echo and spoiled gradient‐recalled (SPGR) sequences, respectively. Assessment: Analysis of the intracranial cavity volumes obtained for each subject on the three different scanners and the scan/rescan acquisitions. Statistical Tests: Parametric permutation tests of the differences in volumes to rank and statistically evaluate the performance of PARIETAL compared to state‐of‐the‐art methods. Results: The mean absolute intracranial volume differences obtained by PARIETAL in the scan/rescan analysis were 1.88 mL, 3.91 mL, and 4.71 mL for Siemens, GE, and Philips scanners, respectively. PARIETAL was the best‐ranked method on Siemens and GE scanners, while decreasing to Rank 2 on the Philips images. Intracranial differences for the same subject between scanners were 5.46 mL, 27.16 mL, and 30.44 mL for GE/Philips, Siemens/Philips, and Siemens/GE comparison, respectively. The permutation tests revealed that PARIETAL was always in Rank 1, obtaining the most similar volumetric results between scanners. Data Conclusion: PARIETAL accurately segments the brain and it generalizes to images acquired at different sites without the need of training or fine‐tuning it again. PARIETAL is publicly available. Level of Evidence: 2 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

53. An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images.

Author

Abramova, Valeriia, Oliver, Arnau, Salvi, Joaquim, Terceño, Mikel, Silva, Yolanda, and Lladó, Xavier

Subjects
HEMORRHAGIC stroke, COMPUTED tomography, HEMATOMA, STROKE patients, DEEP learning, FORECASTING
Abstract

Hematoma expansion (HE) occurs in 20% of patients with hemorrhagic stroke within 24 h of onset, and it is associated with a poorer patient outcome. From a clinical point of view, predicting HE from the initial patient computed tomography (CT) image is useful to improve therapeutic decisions and minimize prognosis errors. In this work, we propose an end-to-end deep learning framework for predicting the final hematoma expansion and its corresponding lesion mask. We also explore the problem of having limited data and propose to augment the available dataset with synthetic images. The obtained results show an improved HE prediction when incorporating the use of synthetic images into the model, with a mean Dice score of the HE growth area of 0.506 and an average prediction error in hematoma volume of − 3.44 mL. The proposed approach achieved results in line with state-of-the-art methods with far fewer data by using synthetic image generation and without requiring the inclusion of patient clinical data. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

58. A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15)

Author

Mahmood, Muhammad Habib, Zappella, Luca, Díez, Yago, Salvi, Joaquim, Lladó, Xavier, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Paredes, Roberto, editor, Cardoso, Jaime S., editor, and Pardo, Xosé M., editor

Published
2015
Full Text
View/download PDF

60. Improvement in arsenic adsorption and calcite dissolution kinetics through size reduction of a ferric hydroxide-calcite adsorbent

Author

Universitat Politècnica de Catalunya. Departament d'Enginyeria Química, Universitat Politècnica de Catalunya. R2EM - Resource Recovery and Environmental Management, Fernandez Rojo, Lidia, Martí Gregorio, Vicenç, Jubany Güell, Irene, Bahí Vives, Neus, Janer, Marcel, Martínez Lladó, Xavier, Rovira Boixaderas, Miquel, Universitat Politècnica de Catalunya. Departament d'Enginyeria Química, Universitat Politècnica de Catalunya. R2EM - Resource Recovery and Environmental Management, Fernandez Rojo, Lidia, Martí Gregorio, Vicenç, Jubany Güell, Irene, Bahí Vives, Neus, Janer, Marcel, Martínez Lladó, Xavier, and Rovira Boixaderas, Miquel

Abstract

The employment of granular ferric iron-(oxy)hydroxides, a well-known economic and effective method, lowers arsenic concentrations in different water types. However, for direct application in polluted groundwaters, there is a need to develop new injectable adsorbents for aquifers that could also neutralize acidic media. In this context, a granular ferric hydroxide-calcite (GFH-C) adsorbent was size-reduced to 0.4–50 µm by sonication with the aim of improving (i) the adsorption of As(III) and As(V) at different pHs and (ii) the pH control through the dissolution of calcite. Batch experiments were conducted to determine As(III) and As(V) adsorption isotherms and kinetics, as well as calcite dissolution kinetics, using GFH-C of two sizes (granular and sonicated). Results showed that the arsenic binding capacity of sonicated adsorbents did not improve significantly. On the contrary, the As(III) and As(V) adsorption kinetics improved with the sonication, as in the case of calcite dissolution kinetics. The dissolution of calcite from the adsorbent made the water pH increase to around 9.2–9.4. The sonicated adsorbent offers an advantage in depolluting As-containing groundwater due to its smaller size, which is linked with faster arsenic adsorption and effective acidic water neutralization., Peer Reviewed, Objectius de Desenvolupament Sostenible::6 - Aigua Neta i Sanejament, Postprint (published version)

Published
2023

61. Improvement in Arsenic Adsorption and Calcite Dissolution Kinetics through Size Reduction of a Ferric Hydroxide-Calcite Adsorbent.

Author

Fernandez-Rojo, Lidia, Martí, Vicenç, Jubany, Irene, Bahí, Neus, Janer, Marcel, Martínez-Lladó, Xavier, and Rovira, Miquel

Subjects
ARSENIC removal (Water purification), CALCITE, ARSENIC, ADSORPTION kinetics, ADSORPTION (Chemistry), ADSORPTION isotherms
Abstract

The employment of granular ferric iron-(oxy)hydroxides, a well-known economic and effective method, lowers arsenic concentrations in different water types. However, for direct application in polluted groundwaters, there is a need to develop new injectable adsorbents for aquifers that could also neutralize acidic media. In this context, a granular ferric hydroxide-calcite (GFH-C) adsorbent was size-reduced to 0.4–50 µm by sonication with the aim of improving (i) the adsorption of As(III) and As(V) at different pHs and (ii) the pH control through the dissolution of calcite. Batch experiments were conducted to determine As(III) and As(V) adsorption isotherms and kinetics, as well as calcite dissolution kinetics, using GFH-C of two sizes (granular and sonicated). Results showed that the arsenic binding capacity of sonicated adsorbents did not improve significantly. On the contrary, the As(III) and As(V) adsorption kinetics improved with the sonication, as in the case of calcite dissolution kinetics. The dissolution of calcite from the adsorbent made the water pH increase to around 9.2–9.4. The sonicated adsorbent offers an advantage in depolluting As-containing groundwater due to its smaller size, which is linked with faster arsenic adsorption and effective acidic water neutralization. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

62. Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features

Author

Martí, Robert, Díez, Yago, Oliver, Arnau, Tortajada, Meritxell, Zwiggelaar, Reyer, Lladó, Xavier, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Fujita, Hiroshi, editor, Hara, Takeshi, editor, and Muramatsu, Chisako, editor

Published
2014
Full Text
View/download PDF

64. A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map

Author

Cabezas, Mariano, Oliver, Arnau, Freixenet, Jordi, Lladó, Xavier, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sanches, João M., editor, Micó, Luisa, editor, and Cardoso, Jaime S., editor

Published
2013
Full Text
View/download PDF

65. A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images

Author

Ghose, Soumya, Mitra, Jhimli, Oliver, Arnau, Martí, Robert, Lladó, Xavier, Freixenet, Jordi, Vilanova, Joan C., Comet, Josep, Sidibé, Désiré, Meriaudeau, Fabrice, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Blanc-Talon, Jacques, editor, Philips, Wilfried, editor, Popescu, Dan, editor, Scheunders, Paul, editor, and Zemčík, Pavel, editor

Published
2012
Full Text
View/download PDF

66. Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation

Author

Ghose, Soumya, Oliver, Arnau, Martí, Robert, Lladó, Xavier, Freixenet, Jordi, Mitra, Jhimli, Vilanova, Joan C., Comet, Josep, Meriaudeau, Fabrice, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Madabhushi, Anant, editor, Dowling, Jason, editor, Huisman, Henkjan, editor, and Barratt, Dean, editor

Published
2011
Full Text
View/download PDF

70. Texture Guided Active Appearance Model Propagation for Prostate Segmentation

Author

Ghose, Soumya, Oliver, Arnau, Martí, Robert, Lladó, Xavier, Freixenet, Jordi, Vilanova, Joan C., Meriaudeau, Fabrice, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Madabhushi, Anant, editor, Dowling, Jason, editor, Yan, Pingkun, editor, Fenster, Aaron, editor, Abolmaesumi, Purang, editor, and Hata, Nobuhiko, editor

Published
2010
Full Text
View/download PDF

71. A Boosting Based Approach for Automatic Micro-calcification Detection

Author

Oliver, Arnau, Torrent, Albert, Tortajada, Meritxell, Lladó, Xavier, Peracaula, Marta, Tortajada, Lidia, Sentís, Melcior, Freixenet, Jordi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

76. False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA

Author

Oliver, Arnau, Lladó, Xavier, Martí, Joan, Martí, Robert, Freixenet, Jordi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Benedí, José Miguel, editor, Mendonça, Ana Maria, editor, and Serrat, Joan, editor

Published
2007
Full Text
View/download PDF

77. Segmentation of Rigid Motion from Non-rigid 2D Trajectories

Author

Del Bue, Alessio, Lladó, Xavier, Agapito, Lourdes, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Benedí, José Miguel, editor, Mendonça, Ana Maria, editor, and Serrat, Joan, editor

Published
2007
Full Text
View/download PDF

78. False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns

Author

Oliver, Arnau, Lladó, Xavier, Freixenet, Jordi, Martí, Joan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ayache, Nicholas, editor, Ourselin, Sébastien, editor, and Maeder, Anthony, editor

Published
2007
Full Text
View/download PDF

79. Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Author

Commowick, Olivier, Istace, Audrey, Kain, Michaël, Laurent, Baptiste, Leray, Florent, Simon, Mathieu, Pop, Sorina Camarasu, Girard, Pascal, Améli, Roxana, Ferré, Jean-Christophe, Kerbrat, Anne, Tourdias, Thomas, Cervenansky, Frédéric, Glatard, Tristan, Beaumont, Jérémy, Doyle, Senan, Forbes, Florence, Knight, Jesse, Khademi, April, Mahbod, Amirreza, Wang, Chunliang, McKinley, Richard, Wagner, Franca, Muschelli, John, Sweeney, Elizabeth, Roura, Eloy, Lladó, Xavier, Santos, Michel M., Santos, Wellington P., Silva-Filho, Abel G., Tomas-Fernandez, Xavier, Urien, Hélène, Bloch, Isabelle, Valverde, Sergi, Cabezas, Mariano, Vera-Olmos, Francisco Javier, Malpica, Norberto, Guttmann, Charles, Vukusic, Sandra, Edan, Gilles, Dojat, Michel, Styner, Martin, Warfield, Simon K., Cotton, François, and Barillot, Christian

Published
2018
Full Text
View/download PDF

80. Non-rigid Face Modelling Using Shape Priors

Author

Del Bue, Alessio, Lladó, Xavier, Agapito, Lourdes, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhao, Wenyi, editor, Gong, Shaogang, editor, and Tang, Xiaoou, editor

Published
2005
Full Text
View/download PDF

83. Colour Texture Segmentation by Region-Boundary Cooperation

Author

Freixenet, Jordi, Muñoz, Xavier, Martí, Joan, Lladó, Xavier, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pajdla, Tomás, editor, and Matas, Jiří, editor

Published
2004
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results