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2020 – today
- 2024
- [i10]Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferran Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia:
Alzheimer's disease detection in PSG signals. CoRR abs/2404.03549 (2024) - 2023
- [j27]Laura Nicolás-Sáenz
, Agapito Ledezma, Javier Pascau
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis. Sensors 23(6): 3338 (2023) - [j26]Selin Aviyente
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Process. Mag. 40(4): 61-71 (2023) - [c33]Daniel Franco-Barranco, Jesús A. Andrés-San Román, Pedro Gómez-Gálvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
BiaPy: a ready-to-use library for Bioimage Analysis Pipelines. ISBI 2023: 1-5 - [i9]Wanlu Lei, Caterina Fuster-Barceló
BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base. CoRR abs/2310.18351 (2023) - 2022
- [j25]Daniel Franco-Barranco
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Comput. Methods Programs Biomed. 222: 106949 (2022) - [j24]Daniel Franco-Barranco
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes. Neuroinformatics 20(2): 437-450 (2022) - [i8]Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. CoRR abs/2202.10773 (2022) - [i7]Pedro M. Gordaliza, Juan José Vaquero, Arrate Muñoz-Barrutia:
Translational Lung Imaging Analysis Through Disentangled Representations. CoRR abs/2203.01668 (2022) - [i6]Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia:
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation. CoRR abs/2211.08460 (2022) - 2021
- [j23]Chiara Lowe
Molecular Imaging of Pulmonary Tuberculosis in an Ex-Vivo Mouse Model Using Spectral Photon-Counting Computed Tomography and Micro-CT. IEEE Access 9: 67201-67208 (2021) - [c32]Benito Farina
Delta-Radiomics Signature For Prediction Of Survival In Advanced Nsclc Patients Treated With Immunotherapy. ISBI 2021: 886-890 - [i5]Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes. CoRR abs/2104.03577 (2021) - [i4]Estibaliz Gómez-de-Mariscal
Search for temporal cell segmentation robustness in phase-contrast microscopy videos. CoRR abs/2112.08817 (2021) - 2020
- [j22]Laura Nicolás-Sáenz
Nonlinear Image Registration and Pixel Classification Pipeline for the Study of Tumor Heterogeneity Maps. Entropy 22(9): 946 (2020) - [j21]Vishal Monga, Scott T. Acton, Abd-Krim Seghouane
Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1068-1071 (2020) - [j20]Amaro Torres-Simón, María Henar Marino, Clara Gómez-Cruz
Development of an Inverted Epifluorescence Microscope for Long-Term Monitoring of Bacteria in Multiplexed Microfluidic Devices. Sensors 20(15): 4140 (2020) - [j19]Dinggang Shen
Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. IEEE Trans. Medical Imaging 39(8): 2569-2571 (2020) - [j18]Jirí Borovec
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [i3]Sébastien Tosi
MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy. F1000Research 9: 1308 (2020)
2010 – 2019
- 2019
- [j17]Mikel Ariz
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease. IEEE Trans. Medical Imaging 38(3): 813-823 (2019) - [c31]P. M. Gordaliza
Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning. ISBI 2019: 294-297 - 2018
- [j16]Erik Meijering
Spotlight on Bioimaging and Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. 35(6): 128-125 (2018) - [c30]Jirí Borovec
Benchmarking of Image Registration Methods for Differently Stained Histological Slides. ICIP 2018: 3368-3372 - [c29]P. M. Gordaliza
Towards an informational model for tuberculosis lesion discrimination on X-ray CT images. ISBI 2018: 265-268 - [c28]Ana Ortega-Gil, Arrate Muñoz-Barrutia, Laura Fernandez-Terron, Juan José Vaquero
Tuberculosis Histopathology on X Ray CT. RAMBO+BIA+TIA@MICCAI 2018: 169-179 - 2017
- [j15]Alejandro Sune-Aunon, Álvaro Jorge-Peñas, Rocío Aguilar-Cuenca, Miguel Vicente-Manzanares
Full L1-regularized Traction Force Microscopy over whole cells. BMC Bioinform. 18(1): 365 (2017) - [c27]Alejandro Sune-Aunon, Mario Gonzalez-Arjona
Automated analysis of collagen networks via microscopy. EUSIPCO 2017: 2659-2663 - [c26]Alejandro Sune-Aunon, Álvaro Jorge-Peñas, Hans Van Oosterwyck
Super-resolved Traction Force Microscopy over whole cells. ISBI 2017: 40-43 - 2016
- [c25]Alejandro Sune-Aunon, Álvaro Jorge-Peñas, Hans Van Oosterwyck
L1-regularized reconstruction for traction force microscopy. ISBI 2016: 140-144 - 2015
- [j14]Arrate Muñoz-Barrutia, Jelena Kovacevic, Michal Kozubek
Quantitative Bioimaging: Signal Processing in Light Microscopy [From the Guest Editors]. IEEE Signal Process. Mag. 32(1): 18-19 (2015) - [j13]Carlos Ortiz-de-Solorzano
Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling. IEEE Signal Process. Mag. 32(1): 20-29 (2015) - [c24]María Anguiano, Carlos Castilla, Martin Maska
Characterization of the role of collagen network structure and composition in cancer cell migration. EMBC 2015: 8139-8142 - [c23]Martin Maska
Quantification of the 3D collagen network geometry in confocal reflection microscopy. ICIP 2015: 1791-1794 - [c22]Marc Puigvert, Gabriel Castellanos, Javier Uranga, Ricardo C. Abad, María A. Fernández-Seara
Atlas-based segmentation of brainstem regions in neuromelanin-sensitive magnetic resonance images. Medical Imaging: Computer-Aided Diagnosis 2015: 94140Y - [c21]Rina Dewi Rudyanto, Carlos Ortiz-de-Solórzano
Quantification of pulmonary vessel diameter in low-dose CT images. Medical Imaging: Computer-Aided Diagnosis 2015: 94142U - 2014
- [j12]Martin Maska
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - [j11]Thomas Pengo
A Novel Automated Microscopy Platform for Multiresolution Multispectral Early Detection of Lung Cancer Cells in Bronchoalveolar Lavage Samples. IEEE Syst. J. 8(3): 985-994 (2014) - 2013
- [j10]Rina Dewi Rudyanto, Gorka Bastarrika, Gabriel de Biurrun
Individual nodule tracking in micro-CT images of a longitudinal lung cancer mouse model. Medical Image Anal. 17(8): 1095-1105 (2013) - [j9]Martin Maska
Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model. IEEE Trans. Medical Imaging 32(6): 995-1006 (2013) - [c20]Rina Dewi Rudyanto, Arrate Muñoz-Barrutia, Alejandro A. Díaz, James C. Ross, George R. Washko, Carlos Ortiz-de-Solorzano
Modeling airway probability. ISBI 2013: 378-381 - [c19]Martin Maska
Automatic quantification of filopodia-based cell migration. ISBI 2013: 668-671 - [c18]Jirí Borovec
Registration of multiple stained histological sections. ISBI 2013: 1034-1037 - 2012
- [j8]Victor Segura
Wavelet-based detection of transcriptional activity on a novel Staphylococcus aureus tiling microarray. BMC Bioinform. 13: 222 (2012) - [j7]Arrate Muñoz-Barrutia, Mario Ceresa
Quantification of Lung Damage in an Elastase-Induced Mouse Model of Emphysema. Int. J. Biomed. Imaging 2012: 734734:1-734734:11 (2012) - [c17]Rina Dewi Rudyanto, Ainhoa Agirre, Carlos Ortiz-de-Solorzano
Individual nodule tracking in micro-CT images of a mouse model of lung cancer. ISBI 2012: 362-365 - [c16]Martin Maska
Fast tracking of fluorescent cells based on the Chan-Vese model. ISBI 2012: 1316-1319 - [c15]Mario Ceresa
Characterization of emphysema in low dose computed tomography images using maximum likelihood estimation of the scale exponent. ISBI 2012: 1447-1450 - [c14]Rina Dewi Rudyanto, Mario Ceresa
Detecting airway remodeling in COPD and emphysema using low-dose CT imaging. Medical Imaging: Computer-Aided Diagnosis 2012: 83150S - 2010
- [j6]Arrate Muñoz-Barrutia, Xabier Artaechevarria, Carlos Ortiz-de-Solorzano
Spatially Variant Convolution With Scaled B-Splines. IEEE Trans. Image Process. 19(1): 11-24 (2010) - [j5]Kunal Narayan Chaudhury, Arrate Muñoz-Barrutia, Michael Unser
Fast Space-Variant Elliptical Filtering Using Box Splines. IEEE Trans. Image Process. 19(9): 2290-2306 (2010) - [c13]Mario Ceresa
Automatic leakage detection and recovery for airway tree extraction in chest CT images. ISBI 2010: 568-571 - [c12]Kunal Narayan Chaudhury, Zsuzsanna Püspöki, Arrate Muñoz-Barrutia, Daniel Sage, Michael Unser
Fast detection of cells using a continuously scalable Mexican-hat-like template. ISBI 2010: 1277-1280 - [i2]Kunal Narayan Chaudhury, Arrate Muñoz-Barrutia, Michael Unser:
Fast space-variant elliptical filtering using box splines. CoRR abs/1003.2022 (2010)
2000 – 2009
- 2009
- [j4]Xabier Artaechevarria, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solorzano
Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data. IEEE Trans. Medical Imaging 28(8): 1266-1277 (2009) - [c11]Martin Maska, Ondrej Danek, Carlos Ortiz-de-Solorzano
A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms. SCIA 2009: 390-399 - [c10]Ondrej Danek, Pavel Matula, Carlos Ortiz-de-Solorzano
Segmentation of Touching Cell Nuclei Using a Two-Stage Graph Cut Model. SCIA 2009: 410-419 - [i1]Kunal Narayan Chaudhury, Arrate Muñoz-Barrutia, Michael Unser:
Fast adaptive elliptical filtering using box splines. CoRR abs/0908.3861 (2009) - 2008
- [c9]Kunal Narayan Chaudhury, Arrate Muñoz-Barrutia, Michael Unser
Fast adaptive elliptical filtering using box splines. ICIP 2008: 785-788 - [c8]Carlos Ortiz-de-Solorzano
Automation of the detection of lung cancer cells in minimal samples of bronchioalveolar lavage. ISBI 2008: 312-315 - [c7]Xabier Artaechevarria, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solórzano
Efficient classifier generation and weighted voting for atlas-based segmentation: two small steps faster and closer to the combination oracle. Medical Imaging: Image Processing 2008: 69141W - 2007
- [c6]Xabier Artaechevarria, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solorzano
Restoration of Biomedical Images using Locally Adaptive B-Spline Smoothing. ICIP (2) 2007: 425-428 - [c5]Xabier Artaechevarria, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solorzano
Restoration of Micro-Ct Images Using Locally Adaptive B-Spline Smoothing. ISBI 2007: 800-803 - 2006
- [c4]G. Vidal-Cassanya, Arrate Muñoz-Barrutia, Michael Unser:
Locally adaptive smoothing method based on B-splines. CompIMAGE 2006: 441-447 - 2002
- [j3]Arrate Muñoz, Raphaël Ertlé, Michael Unser
Continuous wavelet transform with arbitrary scales and O(N) complexity. Signal Process. 82(5): 749-757 (2002) - [j2]Arrate Muñoz, Thierry Blu, Michael Unser
p-multiresolution analysis: how to reduce ringing and sparsify the error. IEEE Trans. Image Process. 11(6): 656-669 (2002) - 2001
- [j1]Arrate Muñoz, Thierry Blu, Michael Unser
Least-squares image resizing using finite differences. IEEE Trans. Image Process. 10(9): 1365-1378 (2001) - 2000
- [c3]Arrate Muñoz, Thierry Blu, Michael Unser:
Non-uniform to uniform grid conversion using least-squares splines. EUSIPCO 2000: 1-4 - [c2]Stefan Horbelt, Arrate Muñoz, Thierry Blu, Michael Unser
Spline kernels for continuous-space image processing. ICASSP 2000: 2191-2194
1990 – 1999
- 1999
- [c1]Arrate Muñoz, Thierry Blu, Michael Unser:
Efficient Image Resizing Using Finite Differences. ICIP (3) 1999: 662-666
Coauthor Index
Carlos Ortiz-de-Solorzano
aka: Carlos Ortiz-de-Solórzano
aka: Carlos Ortiz-de-Solórzano
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