Dr. Robert Martí
Associate Professor at the Computer Vision and Robotics Group

   Grup de Visió per Computador i Robòtica
       Departament d'Arquitectura i Tecnologia de Computadors (ATC)
       Campus Montilivi - Edifici P-IV, Universitat de Girona
       17071 Girona, Spain.

   Phone: 00 34 972 418876 / fax: 00 34 972 418976

   robert.marti{at}udg.edu






Here is a list of my publications. Contact me in case you require a reprint or complete list of publications. Copyright and all rights in this material are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.


Publications


Journals

  1. [JBHI17a] M.H. Yap, G. Pons, J. Martí, S. Ganau, M. Sentís, R. Zwiggelaar, A.K. Davison and R. Martí Automated Breast Ultrasound Lesions Detection using Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, accepted, to appear. [IF 3.451, Q1 CSIF]

  2. [JBHI17b] F. Velickovski, L. Ceccaroni, R. Marti, F. Burgos, C. Gistau, X. Alsina-Restoy, and J. Roca Automated spirometry quality assurance: supervised learning from multiple experts. IEEE Journal of Biomedical and Health Informatics, accepted, to appear. [IF 3.451, Q1 CSIF]

  3. [EJR17] E.García, O.Diaz, R.Martí, Y.Diez, A.Gubern-Mérida, M.Sentís, J.Martí, and A.Oliver Local breast density assessment using reacquired mammographic images. European Journal of Radiology, to appear. [IF 2.593, Q2(36/124) RNMMI]

  4. [JMI16] J.Schwaab, Y.Diez, A.Oliver, R.Martí, J.van Zelst, A.Gubern-Mérida, A.Bensouda Mourri, J.Gregori, M.Günther. Automated quality assessment in 3D breast ultrasound images. Journal of Medical Imaging, 3(2), 027002. 2016.

  5. [EJR16] A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. M Mann, N. Karssemeijer, B. Platel. Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk European Journal of Radiology,85(2), Pages 472–479 2016. [IF 2.593]

  6. [UI16] G. Pons, J. Martí, R. Martí, S. Ganau, A. Noble Breast Lesion Segmentation Combining B-mode and Elastography Ultrasound. Ultrasonic Imaging, 38 (3) pages 209-224, 2016. [IF 2.111 , Q1(6/32) ACOUSTICS]

  7. [IJBC15] W.He, A.Juette, E.R.E.Denton, A.Oliver, R.Martí, and R.Zwiggelaar. A review on automatic mammography density and parenchymal segmentation. International Journal of Breast Cancer, Vol 2015, 2015.

  8. [CMB15] G. Lemaitre; R. Marti, J. Freixenet, JC. Vilanova, PM Walker, and F. Meriaudeau Computer-Aided Detection and Diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computers in Biology and Medicine, 60, pages 8-31, 2015). [IF 1.521, Q2(41/85) B]

  9. [JDI15] A.Oliver, M.Tortajada, X.Lladó, J.Freixenet, S.Ganau, L.Tortajada, M.Vilagran, M.Sentís, and R.Martí Breast density analysis using an automatic density segmentation algorithm. Journal of Digital Imaging, 8(5), pp 604-612, 2015). [IF 1.406, Q3(91/124) RNMMI]

  10. [MIA15] A. Gubern-Mérida, R. Marti, J. Melendez, J. Hauth, R. Mann, N. Karssemeijer and B. Platel Automated localization of breast cancer in DCE-MRI. Medical Image Analysis, 20(1), pp 265-274, 2015). [IF 4.565, Q1(8/130) CSAI]

  11. [JBHI15] A. Gubern-Mérida, M. Kallenberg, R.M. Mann, R. Martí, N. Karssemeijer Breast segmentation and density estimation in breast MRI: a fully automatic framework. . IEEE Journal of Biomedical and Health Informatics, 19 (1), pp 349 - 357, 2015. [IF 1.978, Q1(21/132) COMPUTER SCIENCE, INFORMATION SYSTEMS]

  12. [CBM14] M.Tortajada, A.Oliver, R.Martí, S.Ganau, L.Tortajada, M.Sentís, J.Freixenet, and R.Zwiggelaar. Breast peripheral area correction in digital mammograms. Computers in Biology and Medicine, 50, pp 32-40, 2014. [IF 1.475, Q2(40/83) B]

  13. [UMB14] G. Pons, R. Martí, S. Ganau, M. Sentís, Joan Martí Computerized Detection of Breast Lesions using Deformable Part Models in Ultrasound Images . Ultrasound in Medicine and Biology, 40 (9), pp 2252-2264, 2014. [IF 2.455, Q1(4/31) ACOUSTICS]

  14. [P-ONE14] A. Gubern-Mérida, M. Kallenberg, B. Platel, R.M. Mann, R. Martí, N. Karssemeijer Volumetric breast density estimation from Full-Field Digital Mammograms: A validation study. . PLoS One, 9, pp e85952, 2014. [IF 3.730, Q1(7/56) MULTIDISCIPLINARY SCIENCES]

  15. [NINF14] Y.Diez, A.Oliver, M.Cabezas, S.Valverde, R.Martí, J.C.Vilanova, Ll.Ramió-Torrentà, À.Rovira, and X.Lladó. Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients. Neuroinformatics, 12 (3), pp 365-379, 2014. [IF 3.136, Q1(12/100) CSIA]

  16. [MIA13] S.Ghose, A.Oliver, J.Mitra, R.Martí, X.Lladó, J.Freixenet, D.Sidibé, J.C.Vilanova, J.Comet, and F.Meriaudeau. A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images. Medical Image Analyis, 7(6), pp 587-600, 2013. [IF 4.087, Q1(7/115) CSAI]

  17. [JUM 2013] G. Pons, J.Martí, R.Martí, S. Ganau, J.C.Vilanova, J.A. Noble. Evaluating Lesion Segmentation in Breast Ultrasound Images Related to Lesion Typology. Journal of Ultrasound in Medicine, 32(9), pp 1659-70, 2013. [IF 1.245, Q2(14/30) ACOUSTICS]

  18. [MIA 2012] J.Mitra, Z.Kato, R.Martí, A.Oliver, X.Lladó, D.Sidibé, S.Ghose, J.C.Vilanova, J.Comet, and F.Meriaudeau. A spline-based diffeomorphism for prostate multimodal registration. Medical Image Analyis, 16(6), pp 1259-1279. 2012. [ [IF 4.087, Q1(7/115) CSAI]

  19. [CMPB 2012] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.C.Vilanova, J.Freixenet, J.Mitra, D.Sidibé, and F.Meriaudeau. A survey of prostate segmentation methodologies in ultrasound, magnetic resonance, and computed tomography images. Computer Methods and Programs in Biomedicine, 108(1), pp 262-287. 2012. [IF 1.555, Q1(21/100) CSTM]

  20. [IJCARS 2012] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.Mitra, J.C.Vilanova, J.Comet, and F.Meriaudeau. Statistical shape and texture model of quadrature phase information for prostate segmentation. International Journal of Computer Assisted Radiology and Surgery, 7(1), pp 43-55, 2012. [IF 1.364, Q3(76/120) RNMMI]

  21. [IJCARS 2012] J.Mitra, R.Martí, A.Oliver, X.Lladó, S.Ghose, J.C.Vilanova, and F.Meriaudeau. Prostate multimodality image registration based on b-splines and quadrature local energy. International Journal of Computer Assisted Radiology and Surgery, 7(3), pp 445-454. 2012. [IF 1.364, Q3(76/120) RNMMI]

  22. [NRAD12] X.Lladó, O.Ganiler, A.Oliver, R.Martí, J.Freixenet, L.Valls, J.C.Vilanova, Ll.Ramió-Torrentà, and A.Rovira. Automated detection of multiple sclerosis lesions in serial brain MRI. Neuroradiology, 54(8), pp 787-807. 2012. [IF 2.824, Q2(31/116) RNMMI]

  23. [TITB11] Y.Díez, A.Oliver, X.Lladó, J.Freixenet, J.Martí, J.C.Vilanova, and R.Martí. Revisiting intensity-based image registration appplied to mammography. IEEE Trans. on Information Technology in BioMedicine, 15(5), pp 716-725, 2011. [IF 1.676, Q1(27/133) CSIS]

  24. [AR10] A.Oliver, X.Lladó, J.Freixenet, R.Martí, E.Pérez, J.Pont, and R.Zwiggelaar Influence of using manual or automatic breast density information in a mass detection CAD system Academic Radiology, 17(7), pp 877-883, 2010. [IF 2.195, Q2(46/111) RNMMI]

  25. [CMIG09] X.Lladó, A.Oliver, J.Freixenet, R.Martí, J.Martí. A Textural Approach for Mass False Positive Reduction in Mammography Computerized Medical Imaging and Graphics, 33 (6), pp.415-422,2009. [IF 1.041, Q4(79/104) RNMMI]

  26. [MP08] J.Freixenet, A.Oliver, R.Martí, X.Lladó, J.Pont, E.Pérez, E.R.E.Denton, R.Zwiggelaar. Eigendetection of Masses considering False Positive Reduction and Breast Density Information. Medical Physics, 35(5):1840-53, 2008. [IF 3.871, Q1(13/92) RNMMI]

  27. [ULT08]R.Martí, J.Martí,J.Freixenet, R.Zwiggelaar, J.C.Vilanova, J.Barceló   Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images Ultrasonics, 48(3):169-81, 2008. [IF 1.084, Q3(13/26) ]

  28. [TITB08] A.Oliver, J.Freixenet, R.Martí, J.Pont, E.Pérez, E.R.E.Denton, R.Zwiggelaar.   A Novel Breast Tissue Density Classification Methodology IEEE Trans. on Information Technology in BioMedicine, 12(1), pp 55-65, 2008. [IF 1.939, Q1(21/94) CSIA]

  29. [IVC07] A. Bosch, X. Muñoz and R. Martí A Review: Which is the best way to organize/classify images by content?, 25(6), pp. 778-791, June 2007. [IF 1.027, Q2(81/227) EEE]

  30. [CYB04] R. Marti, R. Zwiggelaar, C. Rubin and E. Denton 2D - 3D correspondence in mammography. Special Issue of the International Journal on Cybernetics & Systems, 35 (1), pp 85-105, 2004. [IF 0.768, Q2(7/18),CS&CYB ]

  31. [IJPRAI02] R. Marti, R. Zwiggelaar and C. Rubin Automatic point correspondence and registration based on linear structures. International Journal of Pattern Recognition and Artificial Intelligence, 16(3), pp. 331-340, 2002. [IF 0.359, Q3(51/74)]

  32. [EURASIP02] L. Blot, A. Davis, M. Holubinka, R. Marti and R. Zwiggelaar Automated quality assurance applied to mammographic imaging. EURASIP Journal on Applied Signal Processing 2002, 7, pp. 736-745, 2002. [IF 1.053, Q2(118/247), 2010.]

Patents

Abstracts in Journals


  1. [MS 2012] Y.Díez, X.Lladó, A.Oliver, R.Martí, E.Roura, M.Cabezas, O.Ganiler, J.Freixenet, J.C.Vilanova, L.Valls, Ll.Ramió-Torrentà, D.Pareto, and A.Rovira. Registration of serial brain MRI scans from multiple sclerosis patients. Analysis of 3D intensity-based methods. Multiple Sclerosis, . [IF 4.255, Q1(27/191) CN Medical Abstract]

  2. [IJCARS 2011] J.Mitra, F.Meriaudeau, R.Martí, A.Oliver, X.Lladó, S.Ghose, and J.C.Vilanova. Quadrature filter enhanced b-spline registration applied to prostate multimodal images. International Journal of Computer Assisted Radiology and Surgery, 6(s1), pp 323-324, 2011. [IF 1.481, Q2(89/198) S]

  3. [IJCARS 2011] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, F.Meriaudeau, and J.Mitra. Quadrature phase-based statistical shape and appearance for prostate segmentation. International Journal of Computer Assisted Radiology and Surgery, 6(s1), pp 12-13, 2011. [IF 1.481, Q2(89/198) S]


  4. [IJCARS 2008] A.Oliver, J.Freixenet, X.Lladó, R.Martí, J.Pont, E.Pérez, and R.Zwiggelaar. Comparing the performance of a mass detection CAD system when using manual and automatic breast density information. International Journal of Computer Assisted Radiology and Surgery, 3(s1), pp 420-421, 2008.

  5. [IJCARS 2008] R.Martí, J.Martí, J.Freixenet, J.C.Vilanova, J.Barceló, A.Gubern, A.Oliver, and X.Lladó. Intensity based MRI/TRUS data fusion for prostatic guided biopsy. International Journal of Computer Assisted Radiology and Surgery, 3(s1), pp 369-370, 2008.

  6. [IJCARS 2007] J.Freixenet, A.Oliver, X.Lladó, R.Martí, and J.Martí. Mass Eigendetection and the Benefits of Introducing Breast Density Information International Journal of Computer Assisted Radiology and Surgery, 2(s1), pp 332-334, 2007.


Book Chapters


  1. [IWDM 2010] J.Martí, A.Oliver, J.Freixenet, R.Martí. Digital Mammography, Proceedings of the 10th International Workshop. Lecture Notes in Computer Science, vol 6136. 2010.

  2. [BEN10] J. Martí, A. Gubern-Mérida, J. Massich, A. Oliver, J.C. Vilanova, J. Comet, E. Pérez, M. Arzoz, R. Martí Ultrasound Image Analysis. Methods and Applications Recent Advances in Biomedical Signal Processing. Editors Juan M. Górriz, Elmar W. Lang and Javier Ramírez. Bentham Science Publishers, 2010.

  3. [SPIE06] R. Marti, C. Rubin, E. Denton and R. Zwiggelaar. A Mammographic Registration Framework Based On Anatomical Linear Structures. Recent Advances in Breast Imaging, Mammography and Computer-Aided Diagnosis of Breast Cancer. Editors J. Suri And R. M. Rangayyan. Spie Press, Vol. PM155, pp 493/534. 2006. ISBN: 0-8194-6081-8.

Invited talks


  1. [SMIT 2012] R. Martí.Research in CAD for Breast Cancer. Recent Advances and Experiences. 24th International Conference of the Society for Medical Innovation and Technology (SMIT), Barcelona, 2012.

  2. [SEDIM 2011] J. Freixenet and R. Martí. Avances en CAD mamográfico y ecográfico. ¿Inteligencia artificial?. XII Congreso Nacional de la Sociedad Española de Diagnóstico por la Imagen de la Mama, Marbella, 2011.

  3. [SCU 2006] M. Arzoz and R. Martí. ProSCAN: Sistema d’ajuda a la localització del càncer de pròstata mitjançant la integració de la imatge de ressonància magnètica i ecografia . XII Simposi de la Societat Catalana d'Urologia, Girona 2006.

PhD Thesis

International Conferences


  1. [EMBC 2017] G Lemaitre, R Martí, M Rastgoo, F Mériaudeau. Computer-Aided Detection for Prostate Cancer Detection based on Multi-Parametric Magnetic Resonance Imaging . EMBC 2017 : 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2017, Jeju Island, South Korea

  2. [ECR 2017] R.Agarwal, O.Díaz, Y. Díez A.Gubern-Mérida, J.C. Vilanova, R.Martí. A clinical tool for temporal analysis in 3D automated breast ultrasound. ECR, European Congress of Radiology, oral presentation, Vienna, Austria, 2017. Abstract.

  3. [SPIE 2017] E.García, A.Oliver, O.Diaz, Y.Diez, R.Martí, and J.Martí. Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models. SPIE Conference on Medical Imaging, 1013504-1013504-8. Orlando, Florida. February 2017.

  4. [SPIE 2017] O.Diaz, E.García, A.Oliver, J.Martí, and R.Martí. Scattered radiation in DBT geometries with flexible breast compression paddles: a Monte Carlo simulation study. SPIE Conference on Medical Imaging, 101324G-101324G-7. Orlando, Florida. February 2017.

  5. [IWDM16] E.García, A.Oliver, Y.Diez, O.Diaz, A.Gubern-Mérida, X.Lladó, and J.Martí. Comparison of four breast tissue segmentation algorithms for multi-modal MRI to X-ray mammography registration. International Workshop on Breast Imaging, LNCS 9699, pp 493-500. Malmö, Sweden. June 2016.

  6. [IWDM16] O.Diaz, A.Oliver, S.Ganau, J.Martí, M.Sentís, and R.Martí. Feasibility of depth sensors to study breast deformation during mammography procedures. International Workshop on Breast Imaging, LNCS 9699, pp 446-453. Malmö, Sweden. June 2016.

  7. [SPIE16] G. Lemaitre, M. Rastgoo, J. Massich, J. C. Vilanova, P. M. Walker, J. Freixenet, A. Meyer-Baese, F. Meriaudeau, and R. Marti. Normalization of T2W-MRI prostate images using Rician a priori. SPIE Medical Imaging 2016. San Diego: USA (February 2016)

  8. [BIA15] E.García, A.Oliver, Y.Diez, O.Diaz, J.Georgii, A.Gubern-Mérida, R.Martí, and J.Martí. Comparing regional breast density using full-field digital mammograms and magnetic resonance imaging: a preliminary study. MICCAI Workshop on Breast Image Analysis, pp 33-40. Munich, Germany. October 2015.

  9. [RSNA15] A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, R.M. Mann, B. Platel and N. Karssemeijer. Automated Detection of Mass-like, Non-mass-like and Focus Breast Cancer Lesions Visible in False-negative Screening DCE-MRI. Annual Meeting of the Radiological Society of North America, 2015.

  10. [QCAV15] E. Garcia, A. Oliver, Y. Diez, D.O., J. Georgii, A. Gubern-Mérida, J. Martí and R. Martí. Comparing regional breast density using Full-Field Digital Mammograms and Magnetic Resonance Imaging: A preliminary study. in: MICCAI Workshop: Breast Image Analysis, 2015.

  11. [QCAV15] G. Lemaitre, J. Massich, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, D. Sidibe, and F. Meriaudeau. A Boosting Approach for Prostate Cancer Detection using Multi-parametric MRI. International Conference on Quality Control and Artificial Vision (QCAV) 2015. Le Creusot: France (June 2015).

  12. [ECR15] A. Gubern-Mérida, S. Vreemann, R. Martí, J. Melendez, S.A. Lardenoije, R.M Mann, B. Platel, N. Karssemeijer. Automated Detection of Breast Cancer to Aid with the Interpretation of High Risk Screening DCE-MRI. ECR, European Congress of Radiology, oral presentation, Vienna, Austria, 2015. Abstract

  13. [IWDM14a] R.Martí, Y.Diez, A.Oliver, M.Tortajada, R.Zwiggelaar, and X.Lladó. Detecting abnormal mammographic cases in temporal studies using image registration features. International Workshop on Breast Imaging, LNCS 8539, pp 612-619. Gifu, Japan. July 2014.

  14. [IWDM14b] Y. Díez, A. Gubern-Mérida, L. Wang, S. Diekmann, J. Martí, B. Platel, J. Kramme, R. Martí. Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI. International Workshop on Breast Imaging, LNCS 8539, pp 689-695. Gifu, Japan. July 2014.

  15. [IWDM14c] J.Massich, F.Meriaudeau, M.Sentís, S.Ganau, E.Pérez, D.Puig, R.Martí, A.Oliver, and J.Martí. SIFT texture description for understanding breast ultrasound images. International Workshop on Breast Imaging, LNCS 8539, pp 681-688. Gifu, Japan. July 2014.
  16. [BIA13] A. Gubern-Mérida, B. Platel, R. M. Mann, R. Martí and N. Karssemeijer. Automated localization of malignant lesions in breast DCE-MRI, in: MICCAI Workshop: Breast Image Analysis, 2013.

  17. [SPIE13] A. Gubern-Mérida, L. Wang, M. Kallenberg, R. Martí, Horst K. Hahn and N. Karssemeijer. Breast segmentation in MRI: quantitative evaluation of three methods . SPIE Medical Imaging, Florida,2013.

  18. [IbPRIA13a] S. Widiyanto, X. Cufí, M. Rubio, I. Muñoz, E. Fulladosa and R. Martí Automatic Intra Muscular Fat Analysis on Dry-Cured Ham Slices Iberian Conference on Pattern Recognition and Image Analysis 2013, LNCS 7887, pages 873-880.

  19. [IbPRIA13b] Y. Díez, M. Tortajada, S. Ganau, L. Tortajada, M. Sentís and R. Martí. Demons Methods for Digital Mammography Registration. Iberian Conference on Pattern Recognition and Image Analysis 2013, LNCS 7887, pages 253-260.

  20. [IbPRIA13b] G. Pons, R. Martí, S. Ganau, M. Sentís and J. Martí. Feasibility Study of Lesion Detection Using Deformable Part Models in Breast Ultrasound Images. Iberian Conference on Pattern Recognition and Image Analysis 2013, LNCS 7887, pages 269-276.

  21. [MICCAI 2012] A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer. Segmentation of the pectoral muscle in breast MRI using atlas-based approaches. MICCAI 2012, Lecture Notes in Computer Science, 2012, Volume 7511/2012, 371-378

  22. [ICPR 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, D.Sidibé, and F.Meriaudeau. A Mumford-Shah functional based variational model with contour, shape and probability prior information for prostate segmentation. International Conference on Pattern Recognition. Tsukuba Science City, Japan. November 2012.

  23. [ICPR 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, D.Sidibé, and F.Meriaudeau. Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI. International Conference on Pattern Recognition. Tsukuba Science City, Japan. November 2012.

  24. [ICPR 2012] J.Mitra, Z.Kato, S.Ghose, D.Sidibé, R.Martí, X.Lladó, A.Oliver, J.C.Vilanova, and F.Meriaudeau. Spectral clustering to model deformations for fast multimodal registration. International Conference on Pattern Recognition. Tsukuba Science City, Japan. November 2012.

  25. [MICCAI-GC 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, D.Sidibé, and F.Meriaudeau. A stochastic approach to prostate segmentation in MRI. MICCAI Grand Challenge: Prostate MR image segmentation. Nice, France. October 2012.

  26. [ICIP 2012] J.Mitra, S.Ghose, D.Sidibé, A.Oliver, R.Martí, X.Lladó, J.C.Vilanova, J.Comet, and F.Meriaudeau. Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. IEEE International Conference on Image Processing. Orlando, Florida. October 2012.

  27. [ICIP 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, D.Sidibé, and F.Meriaudeau. A coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate segmentation in MR images. IEEE International Conference on Image Processing. Orlando, Florida. October 2012.

  28. [BP 2012] R.Martí, A.Oliver, X.Lladó, X.Cufí, J.Martí, J.Freixenet, J.Salvi. VIBOT Day: un exemple de bones pràctiques universitat-empresa. Jornades de Bones Pràctiques. Girona, Spain. September 2012.

  29. [ACIVS 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, D.Sidibé, and F.Meriaudeau. A supervised learning framework for automatic prostate segmentation in transrectal ultrsound images. Advanced Concepts for Intelligent Vision Systems, LNCS 7517, pp 190-200. Brno, Czech Republic. September 2012.

  30. [EMBC 2012] J.Mitra, S.Ghose, D.Sidibé, R.Martí, A.Oliver, X.Lladó, J.C.Vilanova, J.Comet, and F.Meriaudeau. Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. IEEE Conference of the Engineering in Medicine and Biology Society. San Diego, California. August 2012.

  31. [EMBC 2012] S.Ghose, J.Mitra, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, J.Comet, D.Sidibé, and F.Meriaudeau. Spectral clustering of shape and probability prior model for automatic prostate segmentation in ultrasound images. IEEE Conference of the Engineering in Medicine and Biology Society. San Diego, California. August 2012.

  32. [IWDM 2012] M.Tortajada, A.Oliver, R.Martí, M.Vilagran, S.Ganau, L.Tortajada, M.Sentís, and J.Freixenet. Adapting breast density classification from digitized to full-field digital mammograms. International Workshop on Digital Mammography, LNCS 7361, pp 561-568. Philadelphia, Pennsylvania. July 2012.

  33. [IWDM 2012] J.Massich, F.Meriaudeau, M.Sentís, S.Ganau, E.Pérez, R.Martí, A.Oliver, and J.Martí. Automatic seed placement for breast lesion segmentation on US images. International Workshop on Digital Mammography, LNCS 7361, pp 308-315. Philadelphia, Pennsylvania. July 2012.

  34. [SPIE12a] G. Pons, J. Martí, R. Martí, M. Cabezas, A. Di Battista, J.A. Noble Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information. SPIE Conference on Medical Imaging, San Diego, California, February 2012.

  35. [SPIE12b] J. Mitra, A. Srikantha, D. Sidibe, R. Martí, A. Oliver, X. Lladó, S. Ghose, J.C. Vilanova, J. Comet, F. Meriaudeau. A shape-based statistical method to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. SPIE Conference on Medical Imaging, San Diego, California, February 2012.

  36. [SPIE12c] S. Ghose, A. Oliver, R. Martí, X. Lladó, J. Freixenet, J. Mitra, J.C. Vilanova, F. Meriaudeau, A hybrid framework of multiple active appearance models and global registration for 3D prostate segmentation in MRI.. SPIE Conference on Medical Imaging, San Diego, California, February 2012.

  37. [MICCAI_PC11a] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.Mitra, J.C.Vilanova, J.Comet, and F.Meriaudeau Multiple mean models of statistical shape and probability priors for automatic prostate segmentation. MICCAI Workshop on Prostate Cancer Imaging: Computer Aided Diagnosis, Prognosis, and Intervention, LNCS 6963, pp 35-46. Toronto, Canada. September 2011

  38. [MICCAI_BIA11a] A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer Fully automatic fibroglandular tissue segmentation in breast MRI: an atlas-based approach. MICCAI Workshop on Breast Image Analysis. Toronto, Canada. September 2011

  39. [MICCAI_BIA11b] J.Massich, F.Meriaudeau, E.Pérez, R.Martí, A.Oliver, and J.Martí Seed selection criteria for breast lesion segmentation in ultra-sound images. MICCAI Workshop on Breast Image Analysis. Toronto, Canada. September 2011

  40. [ICIP11] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, and F.Meriaudeau. A probabilistic framework for automatic prostate segmentation with a statistical model of shape and appearance. IEEE International Conference on Image Processing, pp 725-728. Brussels, Belgium. September 2011.

  41. [DICTA11a] J.Mitra, Z.Kato, R.Martí, A.Oliver, X.Lladó, S.Ghose, J.C.Vilanova, and F.Meriaudeau. A non-linear diffeomorphic framework for prostate multimodal registration. International Conference on Digital Image Computing: Techniques and Applications. Noosa, Australia. December 2011

  42. [DICTA11b] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.Mitra, J.C.Vilanova, J.Comet, and F.Meriaudeau. Statistical shape and probability prior model for automatic prostate segmentation. International Conference on Digital Image Computing: Techniques and Applications. Noosa, Australia. December 2011

  43. [IBPRIA11a] G. Pons, J. Martí, R. Martí and J.A. Noble Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images. Iberian Conference on Pattern Recognition and Image Analysis, LNCS 6669, pp. 692-699, 2011.

  44. [IBPRIA11b] A. Gubern-Mérida, R. Martí, M. Kallenberg and N. Karssemeijer Multi-class probabilistic atlas-based segmentation method in breast MRI. Iberian Conference on Pattern Recognition and Image Analysis,LNCS 6669, pp. 660-667 2011.

  45. [CARS11a] J.Mitra, F.Meriadeau, R.Martí, A.Oliver, X.Lladó, S.Ghose, and J.C.Vilanova. Quadrature filter enhanced b-spline registration applied to prostate multimodal images. Computer Assisted Radiology and Surgery. Berlin, Germany. June 2011.

  46. [CARS11b] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, F.Meriaudeau, and J.Mitra. Quadrature phase-based statistical shape and appearance for prostate segmentation. Computer Assisted Radiology and Surgery. Berlin, Germany. June 2011.

  47. [SPIE11a] J.Mitra, R.Martí, A.Oliver, X.Lladó, J.C.Vilanova, and F.Meriaudeau. A comparison of thin-plate splines with automatic correspondences and b-splines with uniform grids for multimodal prostate registration. SPIE Conference on Medical Imaging. Lake Buena Vista, Orlando, Florida. February 2011.

  48. [SPIE11b] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, and F.Meriaudeau. Prostate segmentation with local binary patterns guided active appearance model. SPIE Conference on Medical Imaging. Lake Buena Vista, Orlando, Florida. February 2011.

  49. [SITIS10a] J.Mitra, A.Oliver, R.Martí, X.Lladó, J.C.Vilanova, and F.Meriaudeau. A thin-plate spline based multimodal prostate registration with optimal correspondences. International Conference on Signal-Image Technology & Internet-Based Systems, pp 7-11. Kuala Lumpur, Malaysia. December 2010.

  50. [SITIS10b] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, and F.Meriaudeau. Prostate segmentation with texture enhanced Active Appearance Model. International Conference on Signal-Image Technology & Internet-Based Systems, pp 18-22. Kuala Lumpur, Malaysia. December 2010.

  51. [DICTA10] J.Mitra, A.Oliver, R.Martí, X.Lladó, J.C.Vilanova, and F.Meriadeau. Multimodal prostate registration using thin-plate splines from automatic correspondences. International Conference on Digital Image Computing: Techniques and Applications, pp 587-592. Sydney, Australia. December 2010.

  52. [RSNA10] M.Tortajada, A.Oliver, Y.Díez, R.Martí, J.C.Vilanova, and J.Freixenet Integrating Bilateral Information in the Eigendetection CAD Approach. Scientific Assembly and Annual Meeting of the Radiological Society of North America. Chicago, Illinois. November 2010

  53. [MICCAIW10] S.Ghose, A.Oliver, R.Martí, X.Lladó, J.Freixenet, J.C.Vilanova, and F.Meriaudeau Texture guided Active Appearance Model propagation for prostate segmentation. MICCAI Workshop on Prostate Cancer Imaging: Computer Aided Diagnosis, Prognosis, and Intervention, LNCS 6367, pp 111-120. Beijing, China. September 2010.

  54. [EMBC10] M.Tortajada, A.Oliver, Y.Díez, R.Martí, J.C.Vilanova, and J.Freixenet Improving a CAD system using bilateral information. IEEE Engineering in Medicine and Biology Society Conference. Buenos Aires, Argentina. September 2010

  55. [ICIP10a] R. Martí and A. Noble Elastic Modulus Imaging using Optical Flow and Image Registration. IEEE International Conference on Image Processing (ICIP), pp 605-608. Hong Kong. September 2010.

  56. [ICIP10b] Y. Díez, A. Oliver, X. Lladó and R. Martí Comparison of Registration Methods Using Mammographic Images IEEE International Conference on Image Processing (ICIP), pp 4421-4424. Hong Kong. September 2010.

  57. [ICIP10c] A.Torrent, A.Oliver, X.Lladó, R.Martí and J.Freixenet. A supervised micro-calcification detection approach in digitised mammograms IEEE International Conference on Image Processing (ICIP), pp 4345-4348. Hong Kong. September 2010.

  58. [IWDM10]J.Massich, F.Meriaudeau, E.Pérez, R.Martí, A.Oliver, and J.Martí Lesion segmentation in breast sonography International Workshop on Digital Mammography, LNCS 6136, pp 39-45. Girona, Spain. June 2010

  59. [MICCAIW09]A. Gubern-Merida and R. Martí Atlas Based Segmentation of the prostate in MR images International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI): Segmentation Challenge Workshop, London, 2009.

  60. [ICERI09]R. Martí, X. Cufí and J. Salvi Erasmus Mundus European Master in Vision and Robotics (VIBOT): Experiences, Present and Future International Conference of Education, Research and Innovation (ICERI), Madrid 2009.

  61. [RSNA08]R. Martí, J.C. Vilanova, J. Freixenet, J. Barceló, M. Arzoz and J. Martí Automatic Method for the Detection of Fully Developed Speckle Patterns in B-scan Images to Perform a 3D Reconstruction Using Only Image Content Information from Freehand Sensorless ImagesRadiological Society of North America (RSNA), pp 309, Chicago, 2008. 2008.

  62. [IWDM08a] A.Torrent, A.Bardera, A.Oliver, J.Freixenet, I.Boada, M.Feixas, R.Martí, X.Lladó, J.Pont, E.Pérez, S.Pedraza, and J.Martí Breast density segmentation: a comparison of clustering and region based techniques.International Workshop on Digital Mammography, Tucson, Arizona. LNCS 5116/2008, pp 9-16. 2008.

  63. [IWDM08b] M. Tortajada, R. Martí, J. Freixenet, M. Sentís and J. Fernández Image Correction and Reconstruction for Breast Biopsy International Workshop on Digital Mammography. Tucson, Arizona. LNCS 5116/2008, pp 545-552 2008.

  64. [CARS08a] R.Martí, J.Martí, J.Freixenet, J.C.Vilanova, J.Barceló, A.Gubern, A.Oliver, and X.Lladó Intensity based MRI/TRUS data fusion for prostatic guided biopsy. Computer Assisted Radiology and Surgery. Barcelona, Spain, June 2008

  65. [CARS08b] A.Oliver, J.Freixenet, X.Lladó, R.Martí, J.Pont, E.Pérez, R.Zwiggelaar Comparing the performance of a mass detection CAD system when using manual and automatic breast density information. Computer Assisted Radiology and Surgery. Barcelona, Spain, June 2008

  66. [IbPRIA07a] R. Martí, J. Martí, J. Freixenet, J.C. Vilanova, J. Barceló Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA'07). LNCS 4478, pp. 242-249. Girona. 2007

  67. [IbPRIA07b] R. Martí, A. Oliver, D. Raba and J. Freixenet Breast Skin-Line Segmentation Using Contour Growing. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA'07). LNCS 4478 pp.564-571. Girona. 2007

  68. [IbPRIA07c] A. Oliver, X. Lladó, J. Martí, R. Martí, J. Freixenet False Positive Reduction in Breast Mass Detection using Two-Dimensional PCA. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA'07). LNCS 4478 pp. 154-161. Girona. 2007

  69. [IbPRIA07d] D. Raba, M. Peracaula, R. Martí J. Martí On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA'07). LNCS 4477 pp. 129-136. Girona. 2007

  70. [QCAV07] R. Martí, J. Martí, J. Freixenet, J.C. Vilanova, J. Barceló Robust Speckle Detection in Ultrasound Images. Evaluation Aspects. 8th International Conference on Quality Control by Artificial Vision (QCAV'07), Le Creusot, France, 2007. Proceedings of SPIE Vol. 6356.

  71. [MICCAI06] A.Oliver, J.Freixenet, R.Martí, and R.Zwiggelaar. A comparison of breast tissue classification techniques. International Conference on Medical Image Computing and Computer Assisted Intervention, LCNS 4191, pp 872-879 2006. Copenhagen, Denmark, 2006.

  72. [ICPR06a] A.Oliver, J.Freixenet, R.Martí, A.Bosch, and J.Martí A new approach to the classification of mammographic masses and normal breast tissue. International Conference on Pattern Recognition vol 4 pp 707-710. Hong Kong. August 2006.

  73. [ICPR06b] A.Bosch, X.Muñoz, A.Oliver, and R.Martí. Object and scene classification: what does a supervised approach provide us? International Conference on Pattern Recognition (ICPR 2006). Vol 1, pp 773-777. Hong Kong.August 2006.

  74. [IWDM06] R. Martí, D. Raba, A. Oliver and R. Zwiggelaar Mammographic Registration: Proposal and Evaluation of a new approach Lecture Notes in Computer Science 4046, pp. 213-220. International Workshop on Digital Mammography, Manchester, 2006.

  75. [CARS05] D.Raba, J. Martí, R. Martí and M. Peracaula Breast mammography asymmetry estimation based on fractal and texture analysis Computed Aided Radiology and Surgery (CARS 2005). Elsevier, International Congress Series, 1281.

  76. [IWDM04] Marti J, Freixenet J, Peracaula M, Oliver A, Raba D, Espunya J, Pont J, Marti R Automatic segmentation of microcalcifications based on the fusion of different algorithms over CC and MLO views. 7th International Workshop on Digital Mammography, Durham, North Carolina, USA, 2004

  77. [IWDM02a] R. Marti, C. Rubin, E. Denton and R. Zwiggelaar Mammographic X-ray and MR correspondence 6th International Workshop on Digital Mammography. Proceedings of the IWDM 2002, pp. 536-538. Springer. Bremen (Germany) 2002

  78. [IWDM02b] R. Marti, C. Rubin, E. Denton and R. Zwiggelaar Tracking of 3D structures in MR mammography 6th International Workshop on Digital Mammography. Proceedings of the IWDM 2002, pp. 527-529. Springer. Bremen (Germany) 2002

  79. [IWDM02c] R. Zwiggelaar, P. Planiol, J. Martí, R. Marti, L. Blot, E. Denton and C. Rubin EM Texture Segmentation of Mammographic Images 6th International Workshop on Digital Mammography. Proceedings of the IWDM 2002, pp. 223-227. Springer. Bremen (Germany) 2002

  80. [BMVC01] R. Marti, R. Zwiggelaar and C. Rubin Tracking mammographic structures over time 12th British Machine Vision Conference. Proceedings of the 12th British Machine Vision Conference, pp. 143-152, 2001 Manchester (UK), 2001

  81. [IPMI01] R. Marti, R. Zwiggelaar and C. Rubin Automatic registration of mammograms based on linear structures Information Processing in Medical Imaging (IPMI 01). Lecture Notes on Computer Science, pp. 162-188, 2001. U.C. Davis (EUA), 2001

  82. [ICPR00] R. Marti, R. Zwiggelaar and C. Rubin A Novel Similarity Measure to Evaluate Image Correspondence International Conference on Pattern Recognition. IEEE Computer Society, pp. 171-174, 2000, Barcelona (Spain).

  83. [IWDM00a] R. Zwiggelaar and R. Marti Detecting linear structures in mammographic images 5th International Workshop on Digital Mammography Proceedings of the 5th IWDM. Medical Physics Publishing, 2000 Toronto (Canada).

  84. [IWDM00b] R. Marti, R. Zwiggelaar and C. Rubin. Comparing image correspondence in mammograms 5th International Workshop on Digital Mammography Proceedings of the 5th IWDM. Medical Physics Publishing, pp. 295-301, 2000 Toronto (Canadá).

National Conferences


  1. [CASEIB 2010] C.Mata, X.Lladó, R.Martí, J.Freixenet, A.Oliver, and J.Martí Aplicación web para la gestión de una base de datos pública en mamografía digital: MamoDB. Congreso Anual de la Sociedad Española de Ingeniería Biomédica, pp 175-178. Madrid, Spain. November 2010.

  2. [EICC08] J. Salvi, R. Martí, X. Cufí.Master Europeu en Visió i Robòtica Reconegut pel Programa Erasmus Mundus de la Unió Europea III Congrés d'Enginyeria i Cultura Catalana. Associació d'Enginyeria i Cultura Catalana, EiCC'08, Palma de Mallorca (Spain) December 4-6, 2008.

  3. [MIUA07] A.Oliver, X.Lladó, R.Martí, J.Freixenet, and R.Zwiggelaar Classifying mammograms using texture information Medical Image Understanding and Analysis, pp 223-227. Aberystwyth, Wales, UK. July 2007.

  4. [MIUA06] A.Oliver, J.Freixenet, R.Martí, E.R.E.Denton and R.Zwiggelaar. Mammographic mass eigendetection. Medical Image Understanding and Analysis, pp 71-75, Manchester, UK. July 2006

  5. [CCIA05] R. Martí, D. Raba, C. Rubin and Reyer Zwiggelaar Detecting Mammographic Abnormalities from Image Registration Results Congrés Català d'intel.ligència Artificial (CCIA 05) Artificial Intelligence Research and Development. Frontiers in Artificial Intelligence and Applications, pp.59-66. Alghero, Italia, 2005

  6. [ACMG04] Pont J., Martí J., Bassaganyas R., Raba D., Martí R., Oliver A., Peracaula M., Espunya J., Golabardes E., Freixenet J. Cerca de documentació complementària en bases de dades de mamografies digitals per ajudar en el diagnòstic precoç. Agrupación de Ciencias médicas de Gerona. XX Jornada de Clausura (curso 2003-2004), Roses, Girona, 2004

  7. [CCSPM04] Pont J., Martí J., Bassaganyas R., Raba D., Martí R., Oliver A., Peracaula M., Espunya J., Golabardes E., Freixenet J. Cerca de documentació complementària en bases de dades de mamografies digitals per ajudar en el diagnòstic precoç. III Congrés Català de Sinologia i Patologia Mamària, Girona, 2004

  8. [MIUA02] R. Marti, R. Zwiggelaar, C. Rubin and E. Denton 2D-3D Correspondence in Mammography, Medical Image Understanding and Analysis. Proceedings of the 6th Medical Image Understanding and Analysis, pp. 101-104, 2002. Portsmouth (UK) 2002.

  9. [MIUA01] R. Marti, R. Zwiggelaar and C. Rubin Automatic mammographic registration: towards the detection of abnormalities Proceedings of 5th Medical Image Understanding and Analysis Conference, pp. 149-152, 2001 Birmingham (UK).

  10. [SNRFAI01] R. Marti, R. Zwiggelaar and C. Rubin Automatic point correspondence and registration based on linear structures Proceedings of 9th Spanish Symposium on Pattern Recognition and Image Processing, pp. 19-24, 2001 Benicássim (Spain).

  11. [MIUA00] R. Zwiggelaar, R. Marti and C.R.M. Boggis Detection of linear structures in mammographic images Medical Image Understanding and Analysis, Procedings of 4th Medical Image Understanding and Analysis Conference London (UK), 2000.


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