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Robert Martí
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2020 – today
- 2025
- [j36]Jieyun Bai
, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025) - 2024
- [j35]Kendall Schmidt
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [j34]Ricardo Montoya-del-Angel
MAM-E: Mammographic Synthetic Image Generation with Diffusion Models. Sensors 24(7): 2076 (2024) - [j33]Marawan Elbatel
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. IEEE Trans. Medical Imaging 43(3): 954-965 (2024) - [i11]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i10]Muhammad Alberb, Marawan Elbatel, Aya Elgebaly, Ricardo Montoya-del-Angel, Xiaomeng Li, Robert Martí:
CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis. CoRR abs/2407.17620 (2024) - [i9]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - 2023
- [j32]Joel Vidal
Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data. Sensors 23(4): 1898 (2023) - [c67]Marawan Elbatel
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - [i8]Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. CoRR abs/2305.17421 (2023) - [i7]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR abs/2307.14959 (2023) - [i6]Ricardo Montoya-del-Angel, Karla Sam-Millan, Joan Carles Vilanova, Robert Martí:
MAM-E: Mammographic synthetic image generation with diffusion models. CoRR abs/2311.09822 (2023) - 2022
- [j31]Roa'a Khaled
A U-Net Ensemble for breast lesion segmentation in DCE MRI. Comput. Biol. Medicine 140: 105093 (2022) - 2021
- [j30]Md. Kamrul Hasan
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image. Artif. Intell. Medicine 111: 102001 (2021) - [j29]Jungkyu Park
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (2021) - [j28]Joel Vidal
Visual Attention and Color Cues for 6D Pose Estimation on Occluded Scenarios Using RGB-D Data. Sensors 21(23): 8090 (2021) - 2020
- [j27]Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí
Breast ultrasound region of interest detection and lesion localisation. Artif. Intell. Medicine 107: 101880 (2020) - [j26]Md. Kamrul Hasan
DSNet: Automatic dermoscopic skin lesion segmentation. Comput. Biol. Medicine 120: 103738 (2020) - [j25]Richa Agarwal
Deep learning for mass detection in Full Field Digital Mammograms. Comput. Biol. Medicine 121: 103774 (2020) - [c66]Roa'a Khaled
Deep Learning Based Segmentation of Breast Lesions in DCE-MRI. ICPR Workshops (1) 2020: 417-430 - [c65]Basel Alyafi
DCGANs for realistic breast mass augmentation in x-ray mammography. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j24]José Bernal
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. Artif. Intell. Medicine 95: 64-81 (2019) - [j23]Eloy García
Breast MRI and X-ray mammography registration using gradient values. Medical Image Anal. 54: 76-87 (2019) - [i5]Md. Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon, Fakrul Islam Tushar, Robert Martí:
DSNet: Automatic Dermoscopic Skin Lesion Segmentation. CoRR abs/1907.04305 (2019) - [i4]Basel Alyafi, Oliver Díaz, Robert Martí:
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography. CoRR abs/1909.02062 (2019) - [i3]Basel Alyafi, Oliver Díaz, Joan Carles Vilanova, Javier del Riego, Robert Marti:
Quality analysis of DCGAN-generated mammography lesions. CoRR abs/1911.12850 (2019) - 2018
- [j22]Joel Vidal
A Method for 6D Pose Estimation of Free-Form Rigid Objects Using Point Pair Features on Range Data. Sensors 18(8): 2678 (2018) - [j21]Filip Velickovski
Automated Spirometry Quality Assurance: Supervised Learning From Multiple Experts. IEEE J. Biomed. Health Informatics 22(1): 276-284 (2018) - [j20]Moi Hoon Yap
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(4): 1218-1226 (2018) - [j19]Eloy García
Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model. IEEE Trans. Medical Imaging 37(3): 712-723 (2018) - [c64]Richa Agarwal
Mass detection in mammograms using pre-trained deep learning models. IWBI 2018: 107181F - [c63]Eloy García, Arnau Oliver, Oliver Díaz, Yago Diez
Changes in breast density over time using automatic density measures: preliminary analysis. IWBI 2018: 107181I - [c62]Albert Malet, Diego García Pinto
Breast tomosynthesis reconstruction using TIGRE software tool. IWBI 2018: 107181L - [c61]Giovanni Trovini, Christian Napoli, Robert Marti
A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI 2018: 1071811 - [c60]Moi Hoon Yap
End-to-end breast ultrasound lesions recognition with a deep learning approach. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057819 - [i2]Joel Vidal, Chyi-Yeu Lin, Robert Martí:
6D Pose Estimation using an Improved Method based on Point Pair Features. CoRR abs/1802.08516 (2018) - 2017
- [c59]Guillaume Lemaitre, Robert Marti
Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging. EMBC 2017: 3138-3141 - [c58]Eloy García, Arnau Oliver, Yago Diez
Similarity Metrics for Intensity-Based Registration Using Breast Density Maps. IbPRIA 2017: 217-225 - [c57]Eloy García, Arnau Oliver, Oliver Díaz, Yago Diez
Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models. Medical Imaging: Image-Guided Procedures 2017: 1013504 - [i1]José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Marti, Xavier Lladó:
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. CoRR abs/1712.03747 (2017) - 2016
- [c56]Oliver Díaz
Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures. Digital Mammography / IWDM 2016: 446-453 - [c55]Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Joan Carles Vilanova, Paul Michael Walker, Jordi Freixenet
Normalization of T2W-MRI prostate images using Rician a priori. Medical Imaging: Computer-Aided Diagnosis 2016: 978529 - 2015
- [j18]Guillaume Lemaitre
Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Comput. Biol. Medicine 60: 8-31 (2015) - [j17]Arnau Oliver, Meritxell Tortajada, Xavier Lladó
Breast Density Analysis Using an Automatic Density Segmentation Algorithm. J. Digit. Imaging 28(5): 604-612 (2015) - [j16]Albert Gubern-Mérida, Robert Marti
Automated localization of breast cancer in DCE-MRI. Medical Image Anal. 20(1): 265-274 (2015) - [j15]Albert Gubern-Mérida, Michiel Kallenberg
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework. IEEE J. Biomed. Health Informatics 19(1): 349-357 (2015) - 2014
- [j14]Meritxell Tortajada, Arnau Oliver
Breast peripheral area correction in digital mammograms. Comput. Biol. Medicine 50: 32-40 (2014) - [j13]Yago Diez
Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients. Neuroinformatics 12(3): 365-379 (2014) - [c54]Robert Marti
Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features. Digital Mammography / IWDM 2014: 612-619 - [c53]Joan Massich, Fabrice Mériaudeau, Melcior Sentís
SIFT Texture Description for Understanding Breast Ultrasound Images. Digital Mammography / IWDM 2014: 681-688 - [c52]Yago Diez
Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI. Digital Mammography / IWDM 2014: 689-695 - 2013
- [j12]Soumya Ghose, Arnau Oliver
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images. Medical Image Anal. 17(6): 587-600 (2013) - [c51]Yago Diez
Demons Methods for Digital Mammography Registration. IbPRIA 2013: 253-260 - [c50]Gerard Pons
Feasibility Study of Lesion Detection Using Deformable Part Models in Breast Ultrasound Images. IbPRIA 2013: 269-276 - [c49]Sigit Widiyanto
Automatic Intra Muscular Fat Analysis on Dry-Cured Ham Slices. IbPRIA 2013: 873-880 - [c48]Albert Gubern-Mérida, Lei Wang, Michiel Kallenberg
Breast segmentation in MRI: quantitative evaluation of three methods. Medical Imaging: Image Processing 2013: 86693G - 2012
- [j11]Soumya Ghose, Arnau Oliver
Statistical shape and texture model of quadrature phase information for prostate segmentation. Int. J. Comput. Assist. Radiol. Surg. 7(1): 43-55 (2012) - [j10]Jhimli Mitra, Robert Marti
Prostate multimodality image registration based on B-splines and quadrature local energy. Int. J. Comput. Assist. Radiol. Surg. 7(3): 445-454 (2012) - [j9]Soumya Ghose, Arnau Oliver
A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images. Comput. Methods Programs Biomed. 108(1): 262-287 (2012) - [j8]Jhimli Mitra, Zoltan Kato, Robert Marti
A spline-based non-linear diffeomorphism for multimodal prostate registration. Medical Image Anal. 16(6): 1259-1279 (2012) - [c47]Soumya Ghose, Jhimli Mitra, Arnau Oliver
A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images. ACIVS 2012: 190-200 - [c46]Soumya Ghose, Jhimli Mitra, Arnau Oliver
Spectral clustering of shape and probability prior models for automatic prostate segmentation. EMBC 2012: 2335-2338 - [c45]Jhimli Mitra, Soumya Ghose, Désiré Sidibé, Robert Marti
Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. EMBC 2012: 5416-5419 - [c44]Soumya Ghose, Jhimli Mitra, Arnau Oliver
A coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate segmentation in MR images. ICIP 2012: 541-544 - [c43]Jhimli Mitra, Soumya Ghose, Desire Sidibé, Arnau Oliver
Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. ICIP 2012: 2949-2952 - [c42]Soumya Ghose, Jhimli Mitra, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Joan Carles Vilanova, Josep Comet, Desire Sidibé, Fabrice Mériaudeau:
A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation. ICPR 2012: 121-124 - [c41]Soumya Ghose, Jhimli Mitra, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Joan Carles Vilanova, Josep Comet, Desire Sidibé, Fabrice Mériaudeau:
Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI. ICPR 2012: 125-128 - [c40]Jhimli Mitra, Zoltan Kato, Soumya Ghose, Desire Sidibé, Robert Marti, Xavier Lladó, Arnau Oliver, Joan Carles Vilanova, Fabrice Mériaudeau:
Spectral clustering to model deformations for fast multimodal prostate registration. ICPR 2012: 2622-2625 - [c39]Joan Massich, Fabrice Mériaudeau, Melcior Sentís
Automatic Seed Placement for Breast Lesion Segmentation on US Images. Digital Mammography / IWDM 2012: 308-315 - [c38]Meritxell Tortajada, Arnau Oliver
Adapting Breast Density Classification from Digitized to Full-Field Digital Mammograms. Digital Mammography / IWDM 2012: 561-568 - [c37]Albert Gubern-Mérida, Michiel Kallenberg
Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches. MICCAI (2) 2012: 371-378 - [c36]Soumya Ghose, Arnau Oliver
A hybrid framework of multiple active appearance models and global registration for 3D prostate segmentation in MRI. Medical Imaging: Image Processing 2012: 83140S - [c35]Gerard Pons
Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information. Medical Imaging: Image Processing 2012: 83141E - [c34]Jhimli Mitra, Abhilash Srikantha, Désiré Sidibé, Robert Marti
A shape-based statistical method to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. Medical Imaging: Image Processing 2012: 83143M - 2011
- [j7]Yago Diez
Revisiting Intensity-Based Image Registration Applied to Mammography. IEEE Trans. Inf. Technol. Biomed. 15(5): 716-725 (2011) - [c33]Jhimli Mitra, Zoltan Kato, Robert Marti
A Non-Linear Diffeomorphic Framework for Prostate Multimodal Registration. DICTA 2011: 31-36 - [c32]Soumya Ghose, Arnau Oliver
Statistical Shape and Probability Prior Model for Automatic Prostate Segmentation. DICTA 2011: 340-345 - [c31]Albert Gubern-Mérida, Michiel Kallenberg
Multi-class Probabilistic Atlas-Based Segmentation Method in Breast MRI. IbPRIA 2011: 660-667 - [c30]Gerard Pons
Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images. IbPRIA 2011: 692-699 - [c29]Soumya Ghose, Arnau Oliver
A probabilistic framework for automatic prostate segmentation with a statistical model of shape and appearance. ICIP 2011: 713-716 - [c28]Soumya Ghose, Arnau Oliver
Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation. Prostate Cancer Imaging 2011: 35-46 - [c27]Jhimli Mitra, Robert Marti
A comparison of thin-plate splines with automatic correspondences and B-splines with uniform grids for multimodal prostate registration. Medical Imaging: Image-Guided Procedures 2011: 79642T - [c26]Soumya Ghose, Arnau Oliver
Prostate segmentation with local binary patterns guided active appearance models. Medical Imaging: Image Processing 2011: 796218 - 2010
- [c25]Jhimli Mitra, Arnau Oliver
Multimodal Prostate Registration Using Thin-Plate Splines from Automatic Correspondences. DICTA 2010: 587-592 - [c24]Robert Marti
Elastic modulus imaging using optical flow and image registration. ICIP 2010: 605-608 - [c23]Albert Torrent
A supervised micro-calcification detection approach in digitised mammograms. ICIP 2010: 4345-4348 - [c22]Yago Diez
Comparison of registration methods using mamographic images. ICIP 2010: 4421-4424 - [c21]Joan Massich, Fabrice Mériaudeau, Elsa Pérez, Robert Marti
Lesion Segmentation in Breast Sonography. Digital Mammography / IWDM 2010: 39-45 - [c20]Soumya Ghose, Arnau Oliver
Texture Guided Active Appearance Model Propagation for Prostate Segmentation. Prostate Cancer Imaging 2010: 111-120 - [c19]Jhimli Mitra, Arnau Oliver
A Thin-Plate Spline Based Multimodal Prostate Registration with Optimal Correspondences. SITIS 2010: 7-11 - [c18]Soumya Ghose, Arnau Oliver
Prostate Segmentation with Texture Enhanced Active Appearance Model. SITIS 2010: 18-22 - [e1]Joan Martí, Arnau Oliver, Jordi Freixenet, Robert Marti:
Digital Mammography, 10th International Workshop, IWDM 2010, Girona, Catalonia, Spain, June 16-18, 2010. Proceedings. Lecture Notes in Computer Science 6136, Springer 2010, ISBN 978-3-642-13665-8 [contents]
2000 – 2009
- 2009
- [j6]Xavier Lladó
A textural approach for mass false positive reduction in mammography. Comput. Medical Imaging Graph. 33(6): 415-422 (2009) - 2008
- [j5]Arnau Oliver
A Novel Breast Tissue Density Classification Methodology. IEEE Trans. Inf. Technol. Biomed. 12(1): 55-65 (2008) - [c17]Albert Torrent
Breast Density Segmentation: A Comparison of Clustering and Region Based Techniques. Digital Mammography / IWDM 2008: 9-16 - [c16]Meritxell Tortajada, Robert Marti
Image Correction and Reconstruction for Breast Biopsy. Digital Mammography / IWDM 2008: 545-552 - 2007
- [j4]Anna Bosch, Xavier Muñoz
Which is the best way to organize/classify images by content? Image Vis. Comput. 25(6): 778-791 (2007) - [c15]Hans Wegener, Robert Marti:
Slowly Changing Dimensions: a Pattern Language for Coping with Change in Analytical Information Processing. EuroPLoP 2007: 557-580 - [c14]David Raba, Marta Peracaula, Robert Marti, Joan Martí:
On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI. IbPRIA (1) 2007: 129-136 - [c13]Arnau Oliver, Xavier Lladó, Joan Martí, Robert Marti, Jordi Freixenet:
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA. IbPRIA (2) 2007: 154-161 - [c12]Robert Marti, Joan Martí, Jordi Freixenet, Joan Carles Vilanova, Joaquim Barceló:
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images. IbPRIA (2) 2007: 242-249 - [c11]Robert Marti, Arnau Oliver, David Raba, Jordi Freixenet:
Breast Skin-Line Segmentation Using Contour Growing. IbPRIA (2) 2007: 564-571 - 2006
- [c10]Arnau Oliver
A new approach to the classification of mammographic masses and normal breast tissue. ICPR (4) 2006: 707-710 - [c9]Anna Bosch, Xavier Muñoz
Object and Scene Classification: what does a Supervised Approach Provide us?. ICPR (1) 2006: 773-777 - [c8]Robert Marti, David Raba, Arnau Oliver, Reyer Zwiggelaar:
Mammographic Registration: Proposal and Evaluation of a New Approach. Digital Mammography / IWDM 2006: 213-220 - [c7]Arnau Oliver, Jordi Freixenet, Robert Marti, Reyer Zwiggelaar:
A Comparison of Breast Tissue Classification Techniques. MICCAI (2) 2006: 872-879 - 2005
- [c6]Robert Marti, David Raba, Caroline M. E. Rubin, Reyer Zwiggelaar:
Detecting Mammographic Abnormalities from Image Registration Results. CCIA 2005: 59-66 - [c5]Hans Wegener, Robert Marti:
Slowly Changing Dimensions - a Pattern Language for Coping With Business Change in an Enterprise. EuroPLoP 2005: 163-176 - 2004
- [j3]Robert Marti
Two-Dimensional-Three-Dimensional Correspondence in Mammography. Cybern. Syst. 35(1): 85-105 (2004) - 2003
- [c4]Robert Marti:
Information Integration in a Global Enterprise: Some Experiences from a Financial Services Company. BTW 2003: 558-567 - 2002
- [j2]Lilian Blot, Anne Davis, Mike Holubinka, Robert Marti
Automated Quality Assurance Applied to Mammographic Imaging. EURASIP J. Adv. Signal Process. 2002(7): 736-745 (2002) - [j1]Robert Marti
Automatic Point Correspondence and Registration Based on Linear Structures. Int. J. Pattern Recognit. Artif. Intell. 16(3): 331-340 (2002) - 2001
- [c3]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
Tracking Mammographic Structures Over Time. BMVC 2001: 1-10 - [c2]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
Automatic Registration of Mammograms Based on Linear Structures. IPMI 2001: 162-168 - 2000
- [c1]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
A Novel Similarity Measure to Evaluate Image Correspondence. ICPR 2000: 3171-3174
1980 – 1989
- 1984
- [b1]Robert Marti:
Beschreibung von Datenbanken und Anwendungsprogrammen in einem erweiterten Datenkatalog. ETH Zurich, Zürich, Switzerland, 1984, pp. 1-125
Coauthor Index
Josep Comet
aka: Josep Comet-Batlle
aka: Josep Comet-Batlle
[j24] [j23] [j19] [c63] [c58] [c57] [i1] [c56] [j17] [j14] [j13] [c54] [c53] [j12] [j11] [j10] [j9] [j8] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c34] [j7] [c33] [c32] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [e1] [j6] [j5] [c17] [c13] [c11] [c10] [c9] [c8] [c7]
Desire Sidibé
aka: Désiré Sidibé
aka: Désiré Sidibé
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