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Publications of year 2004

Thesis

  1. Oscar Acosta. De la navigation exploratoire virtuelle à la planification d'interventions endovasculaires.. Thèse de sciences, LTSI. University of Rennes 1., July 2004. Note: Thesis in French directed by Dr. Pascal Haigron. Title Translation : From Virtual Exploratory Navigation to Planning of Endovascular Interventions.
    @PhdThesis{OscarThesis,
    Author = {Acosta, Oscar},
    Title = {De la navigation exploratoire virtuelle \`a la planification d'interventions endovasculaires.},
    School = {LTSI. University of Rennes 1.},
    Type = {Th{\`e}se de sciences},
    Note = {Thesis in French directed by Dr. Pascal Haigron. Title Translation : From Virtual Exploratory Navigation to Planning of Endovascular Interventions. },
    month = "July",
    pdf = {http://tel.ccsd.cnrs.fr/docs/00/04/73/75/PDF/tel-00007555.pdf},
    year = 2004 
    }
    

  2. P. Bourgeat. Segmentation d'Images de Semi-Conducteurs Appliquée à la Détection de Défauts. Thèse de sciences, Université de Bourgogne, July 2004. Note: Title translation: Semiconductor Image Segmentation Applied to Defects Detection. Keyword(s): Image segmentation, multi-resolution analysis, parameters variations, semiconductor defect detection.
    @Phdthesis{Bourgeat:these:04,
    author = {Bourgeat, P.},
    title = {Segmentation d'Images de Semi-Conducteurs Appliqu{\'e}e {\`a} la D{\'e}tection de D{\'e}fauts},
    month = {July},
    year = {2004},
    type = {Th{\`e}se de sciences},
    keywords = {Image segmentation, multi-resolution analysis, parameters variations, semiconductor defect detection},
    note = {Title translation: Semiconductor Image Segmentation Applied to Defects Detection},
    school = {Universit{\'e} de Bourgogne},
    
    }
    

  3. D. Xiao. Active contour model for rectal wall ultrasound image processing. PhD thesis, Nanyang Technological University, Singapore, April 2004.
    @PHDTHESIS{DiXiaoThesis1,
    author = {D. Xiao},
    title = {Active contour model for rectal wall ultrasound image processing},
    school = {Nanyang Technological University},
    year = {2004},
    address = {Singapore},
    month = {April} 
    }
    

Articles in journal, book chapters

  1. P. Bourgeat, F. Meriaudeau, K.W. Tobin, and P. Gorria. Content Based Segmentation of Patterned Wafers. Journal of Electronic Imaging Special Issue on Quality Control by Artificial Vision, 13(3):428-435, July 2004.
    @Article{Bourgeat:jei:04,
    author = {Bourgeat, P. and Meriaudeau, F. and Tobin, K.W. and Gorria, P.},
    title = {Content Based Segmentation of Patterned Wafers},
    month = {July},
    volume = {13},
    year = {2004},
    pages = {428--435},
    journal = {Journal of Electronic Imaging Special Issue on Quality Control by Artificial Vision},
    number = {3},
    url = {http://dx.doi.org/10.1117/1.1762518},
    
    }
    

  2. H. Frimmel, J. N�pi, and H. Yoshida. Fast and robust computation of colon centerline in CT colonography. Medical Physics, 31:3046-3056, 2004.
    @ARTICLE{frimmel0008,
    AUTHOR = {H.~Frimmel and J.~N�pi and H.~Yoshida},
    TITLE = {Fast and robust computation of colon centerline in CT colonography},
    JOURNAL = {Medical Physics},
    YEAR = {2004},
    VOLUME = {31},
    PAGES = {3046-3056},
    
    }
    

  3. Pascal Haigron, Marc E. Bellemare, Oscar Acosta, Cemil Goksu, Carine Kulik, Kristell Rioual, and Antoine Lucas. Depth-map-based scene analysis for active navigation in virtual angioscopy. IEEE Transactions on Medical Imaging, 23(11):1380-1390, 2004. Keyword(s): virtual angioscopy, Navigation, automatic path planning.
    @Article{Haigron04TMI,
    Author = {Haigron, Pascal and Bellemare, Marc E. and Acosta, Oscar and Goksu, Cemil and Kulik, Carine and Rioual, Kristell and Lucas, Antoine},
    Title = {Depth-map-based scene analysis for active navigation in virtual angioscopy},
    Journal = {IEEE Transactions on Medical Imaging},
    Volume = {23},
    Number = {11},
    Pages = {1380-1390},
    keywords = {virtual angioscopy , Navigation, automatic path planning },
    pdf = {http://ieeexplore.ieee.org/iel5/42/29702/01350896.pdf?isnumber=29702&arnumber=1350896},
    year = 2004 
    }
    

  4. E.A.M. Heijnsdijk, M. van der Voort, H. de Visser, J. Dankelman, and D.J. Gouma. Slip and damage properties of jaws of laparoscopic graspers. Surgical Endoscopy, 18(6):974-979, 2004.
    @Article{HeijnsdijkDeVisser:surge:04,
    author = {Heijnsdijk, E.A.M. and van der Voort, M. and de Visser, H. and Dankelman, J. and Gouma, D.J.},
    title = {Slip and damage properties of jaws of laparoscopic graspers},
    journal = {Surgical Endoscopy},
    volume = {18},
    number = {6},
    year = {2004},
    pages = {974-979} 
    }
    

  5. J. N�pi, H. Frimmel, AH. Dachman, and H. Yoshida. Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis. Medical Physics, 31:860-872, 2004.
    @ARTICLE{frimmel0006,
    AUTHOR = {J.~N�pi and H.~Frimmel and AH.~Dachman and H.~Yoshida},
    TITLE = {Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis},
    JOURNAL = {Medical Physics},
    YEAR = {2004},
    VOLUME = {31},
    PAGES = {860-872},
    
    }
    

  6. Z Taylor and K Miller. Reassessment of brain elasticity for analysis of biomechanisms of hydrocephalus. Journal of Biomechanics, 37(8):1263-1269, 2004. Note: TY - JOUR.
    @article{Taylor:jb:04,
    Author = {Taylor, Z and Miller, K},
    Title = {Reassessment of brain elasticity for analysis of biomechanisms of hydrocephalus},
    Journal = {Journal of Biomechanics},
    Volume = {37},
    Number = {8},
    Pages = {1263-1269},
    Note = {TY - JOUR},
    Year = {2004} 
    }
    

  7. J.S. Yuen, C.H. Thng, P.H. Tan, L.W. Khin, S.J.L. Phee, D. Xiao, W.K.O. Lau, W.S. Ng, and C.W.S. Cheng. Endorectal Magnetic Resonance Imaging And Spectroscopy For The Detection of Tumor Foci In Men With Prior Negative TRUS Prostate Biopsy. Journal of Urology, 171(4):1482-1486, April 2004.
    @ARTICLE{DiXiao009,
    author = {J.S. Yuen and C.H. Thng and P.H. Tan and L.W. Khin and S.J.L. Phee and D. Xiao and W.K.O. Lau and W.S. Ng and C.W.S. Cheng},
    title = {Endorectal Magnetic Resonance Imaging And Spectroscopy For The Detection of Tumor Foci In Men With Prior Negative TRUS Prostate Biopsy},
    journal = {Journal of Urology},
    year = {2004},
    volume = {171},
    pages = {1482-1486},
    number = {4},
    month = {April} 
    }
    

  8. E.A.M. Heijnsdijk, H. de Visser, D.J. Gouma, P.V. Pistecky, and J. Dankelman. Safe manipulation of bowel tissue, pages 144-159. 2004. Note: Lawrence Erlbaum Ass.
    @InBook{HeijnsdijkDeVisser:Book:04,
    author = {Heijnsdijk, E.A.M. and de Visser, H. and Gouma, D.J. and Pistecky, P.V. and Dankelman, J.},
    title = {Safe manipulation of bowel tissue},
    booktitle = {Engineering for Patient Safety: Issues in Minimally Invasive Procedures},
    editor = {Dankelman, J. and Grimbergen, C.A. and Stassen, H.G.},
    year = {2004},
    note = {Lawrence Erlbaum Ass.},
    pages = {144-159} 
    }
    

Conference articles

  1. P. Bourgeat, F. Meriaudeau, P. Gorria, K.W. Tobin, and F. Truchetet. Features extraction on complex images. In IEEE International Conference on Image Processing (ICIP'04), volume 1, Singapore, pages 219-222, 2004. IEEE.
    @InProceedings{Bourgeat:isbi:04,
    Author = {Bourgeat, P. and Meriaudeau, F. and Gorria, P. and Tobin, K.W. and Truchetet, F.},
    Title = {Features extraction on complex images},
    BookTitle = "IEEE International Conference on Image Processing (ICIP'04)",
    Volume = {1},
    Pages = {219-222},
    Address = {Singapore},
    Publisher = {IEEE},
    optmonth = {October 24-27},
    year = 2004 
    }
    

  2. J. Dowling, A. Maeder, and W. Boles. Mobility enhancement and assessment for a visual prosthesis. In A.A. Amini and A. Manduca, editors, Proceedings of SPIE Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, San Diego, volume 5369, pages 780-791, 2004.
    @INPROCEEDINGS{Dowling2004a,
    author = {Dowling, J. and Maeder, A. and Boles, W.},
    title = {Mobility enhancement and assessment for a visual prosthesis},
    booktitle = {Proceedings of SPIE Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, San Diego},
    year = {2004},
    editor = {Amini, A.A. and Manduca, A.},
    volume = {5369},
    pages = {780-791} 
    }
    

  3. N. Dowson and R. Bowden. Metric Mixtures for Mutual Information (M3I) Tracking. In Int'l Conference on Pattern Recognition, volume 2, Cambridge, UK, pages 752-756, June 2004.
    @InProceedings{dowson04metric,
    author = {Dowson, N. and Bowden, R.},
    title = {Metric Mixtures for Mutual Information (M3I) Tracking},
    OPTcrossref = {},
    OPTkey = {},
    booktitle = {Int'l Conference on Pattern Recognition},
    pages = {752--756},
    year = {2004},
    OPTeditor = {},
    volume = {2},
    OPTnumber = {},
    OPTseries = {},
    address = {Cambridge, UK},
    month = {June},
    OPTorganization = {},
    OPTpublisher = {},
    OPTnote = {},
    OPTannote = {} 
    }
    

  4. Cemil Goksu, Pascal Haigron, Oscar Acosta, and Antoine Lucas. Endovascular navigation based on real/virtual environments cooperation for computer assisted team procedures. In Proceedings of spie: visualization, image-guided procedures and display, volume 5367, San Diego, USA, pages 257-266, 2004.
    Abstract:
    Transfemoral Endovascular Aneurysm Management, the less invasive treatment of Aortic Abdominal Aneurysms (AAA), is a highly specialized procedure, using advanced devices and requiring a high degree of clinical expertise.There is a great need for a navigation guidance system able to make this procedure safer and more precise. In this context of computer-assisted minimally invasive interventional procedures, we propose a new framework based on the cooperation between the real environment where the intervention takes place and a patient-specific virtual environment, which contains a virtual operating room including a C-arm model as well as the 3D preoperative patient data. This approach aims to deal with the problem of lack of knowledge about soft tissue behavior by better exploiting available information before and during the intervention through a cooperative approach. In order to assist the TEAM procedure in standard interventional conditions, we applied this framework to design a 3D navigation guidance system, which has been successfully used during three TEAM interventions in the operating room. Intra-operatively, anatomical feature-based 2D/3D registration between a single 2D fluoroscopic view, reproduced from the pose planned in the virtual environment, and the preoperative CT volume, is performed by means of a chamfer distance map. The 3D localization of the endovascular devices (sheath, guide wire, prosthesis) tracked either interactively or automatically on 2D sequences, is constrained to either the 3D vascular tree or a 3D device model. Moreover, we propose a first solution to take into account the tissue deformations during this particular intervention and to update the virtual environment with the intraoperative data.

    @InProceedings{Goksu2004,
    Author = {Goksu, Cemil and Haigron, Pascal and Acosta, Oscar and Lucas, Antoine},
    Title = {Endovascular navigation based on real/virtual environments cooperation for computer assisted team procedures},
    BookTitle = {Proceedings of spie: visualization, image-guided procedures and display},
    Volume = {5367},
    Number = {},
    Pages = {257-266},
    Address = {San Diego, USA},
    abstract = {Transfemoral Endovascular Aneurysm Management, the less invasive treatment of Aortic Abdominal Aneurysms (AAA), is a highly specialized procedure, using advanced devices and requiring a high degree of clinical expertise.There is a great need for a navigation guidance system able to make this procedure safer and more precise. In this context of computer-assisted minimally invasive interventional procedures, we propose a new framework based on the cooperation between the real environment where the intervention takes place and a patient-specific virtual environment, which contains a virtual operating room including a C-arm model as well as the 3D preoperative patient data. This approach aims to deal with the problem of lack of knowledge about soft tissue behavior by better exploiting available information before and during the intervention through a cooperative approach. In order to assist the TEAM procedure in standard interventional conditions, we applied this framework to design a 3D navigation guidance system, which has been successfully used during three TEAM interventions in the operating room. Intra-operatively, anatomical feature-based 2D/3D registration between a single 2D fluoroscopic view, reproduced from the pose planned in the virtual environment, and the preoperative CT volume, is performed by means of a chamfer distance map. The 3D localization of the endovascular devices (sheath, guide wire, prosthesis) tracked either interactively or automatically on 2D sequences, is constrained to either the 3D vascular tree or a 3D device model. Moreover, we propose a first solution to take into account the tissue deformations during this particular intervention and to update the virtual environment with the intraoperative data.},
    keywords = {},
    pdf = {http://perso.univ-rennes1.fr/cemil.goksu/Papiers/Confs/MI-5367-29.pdf},
    year = 2004 
    }
    

  5. Stéphane Huot, Cédric Dumas, Pierre Dragicevic, Jean-Daniel Fekete, and Gérard Hégron. The MaggLite post-WIMP toolkit: draw it, connect it and run it. In Proceedings of the 17th annual ACM symposium on User interface software and technology, UIST '04, Santa Fe, NM, USA, pages 257–266, 2004. ACM. Note: ACM ID: 1029677. ISBN: 1-58113-957-8. Keyword(s): graphical user interfaces, gui architectures, gui toolkits, icon, input devices and strategies, interaction design, interaction styles, interaction techniques, magglite, prototyping, user interface management systems.
    @InProceedings{dumas:uist:2004,
    address = {Santa Fe, {NM}, {USA}},
    series = {{UIST} '04},
    title = {The {MaggLite} {post-WIMP} toolkit: draw it, connect it and run it},
    isbn = {1-58113-957-8},
    url = {http://dx.doi.org/10.1145/1029632.1029677},
    booktitle = {Proceedings of the 17th annual {ACM} symposium on User interface software and technology},
    publisher = {{ACM}},
    author = {Huot, Stéphane and Dumas, Cédric and Dragicevic, Pierre and Fekete, {Jean-Daniel} and Hégron, Gérard},
    year = {2004},
    note = {{ACM} {ID:} 1029677},
    keywords = {graphical user interfaces, gui architectures, gui toolkits, icon, input devices and strategies, interaction design, interaction styles, interaction techniques, magglite, prototyping, user interface management systems},
    pages = {257–266} 
    }
    

  6. Stéphane Huot, Cédric Dumas, and Gérard Hégron. Svalabard: une table à dessin virtuelle pour la modélisation 3D. In Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine, IHM 2004, Namur, Belgium, pages 85–92, 2004. ACM. Note: ACM ID: 1148626. ISBN: 1-58113-926-8. Keyword(s): 3d modeling, contextual interaction, creative design, design, interaction techniques, modeling packages, perspective sketch, sketching interfaces, user interfaces.
    @InProceedings{dumas:ihm:2004,
    address = {Namur, Belgium},
    series = {{IHM} 2004},
    title = {Svalabard: une table \&\#224; dessin virtuelle pour la mod\&\#233;lisation {3D}},
    isbn = {1-58113-926-8},
    url = {http://dx.doi.org/10.1145/1148613.1148626},
    booktitle = {Proceedings of the 16th conference on Association Francophone {d'Interaction} {Homme-Machine}},
    publisher = {{ACM}},
    author = {Huot, Stéphane and Dumas, Cédric and Hégron, Gérard},
    year = {2004},
    note = {{ACM} {ID:} 1148626},
    keywords = {3d modeling, contextual interaction, creative design, design, interaction techniques, modeling packages, perspective sketch, sketching interfaces, user interfaces},
    pages = {85–92} 
    }
    

  7. Olivier Salvado, Claudia Hillenbrand, Jasjit Suri, David L. Wilson, J.Michael Fitzpatrick, and Milan Sonka. MR coil sensitivity inhomogeneity correction for plaque characterization in carotid arteries. In SPIE'04, volume 5370 of Image Processing, San Diego, CA, USA, pages 2114-2121, May 2004. SPIE. Keyword(s): Arteries, carotid arteries, carotid artery, Correction, Inhomogeneity correction, MR, plaque.
    Abstract:
    We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR images having different contrast mechanisms (T1W, T2W, PDW, magnetization transfer, etc.) of human carotid and animal model arteries. We use specially designed intravascular and surface array coils that give high signal-to-noise but suffer from sensitivity inhomogeneity. With carotid surface coils, challenges include: (1) a steep bias field with an 80\% change; (2) presence of nearby muscular structures lacking high frequency information to distinguish bias from anatomical features; (3) many confounding zero-valued voxels subject to fat suppression, blood flow cancellation, or air, which are not subject to coil sensitivity; and (4) substantial noise. Bias was corrected using a modification of the adaptive fuzzy c-mean method reported by Pham et al. (IEEE TMI, 18:738-752), whereby a bias field modeled as a mechanical membrane was iteratively improved until cluster means no longer changed. Because our images were noisy, we added a noise reduction filtering step between iterations and used about 5 classes. In a digital phantom having a bias field measured from our MR system, variations across an area comparable to a carotid artery were reduced from 50\% to <5\% with processing. Human carotid images were qualitatively improved and large regions of skeletal muscle were relatively flat. Other commonly applied techniques failed to segment the images or introduced strong edge artifacts. Current evaluations include comparisons to bias as measured by a body coil in human MR images.

    @INPROCEEDINGS{salvado_mr_2004-2,
    author = {Olivier Salvado and Claudia Hillenbrand and Jasjit Suri and David L. Wilson and J.Michael Fitzpatrick and Milan Sonka},
    title = {MR coil sensitivity inhomogeneity correction for plaque characterization in carotid arteries},
    booktitle = {SPIE'04},
    year = {2004},
    volume = {5370},
    series = {Image Processing},
    pages = {2114-2121},
    address = {San Diego, CA, USA},
    month = "May",
    publisher = {SPIE},
    abstract = {We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR images having different contrast mechanisms (T1W, T2W, PDW, magnetization transfer, etc.) of human carotid and animal model arteries. We use specially designed intravascular and surface array coils that give high signal-to-noise but suffer from sensitivity inhomogeneity. With carotid surface coils, challenges include: (1) a steep bias field with an 80\% change; (2) presence of nearby muscular structures lacking high frequency information to distinguish bias from anatomical features; (3) many confounding zero-valued voxels subject to fat suppression, blood flow cancellation, or air, which are not subject to coil sensitivity; and (4) substantial noise. Bias was corrected using a modification of the adaptive fuzzy c-mean method reported by Pham et al. (IEEE TMI, 18:738-752), whereby a bias field modeled as a mechanical membrane was iteratively improved until cluster means no longer changed. Because our images were noisy, we added a noise reduction filtering step between iterations and used about 5 classes. In a digital phantom having a bias field measured from our MR system, variations across an area comparable to a carotid artery were reduced from 50\% to <5\% with processing. Human carotid images were qualitatively improved and large regions of skeletal muscle were relatively flat. Other commonly applied techniques failed to segment the images or introduced strong edge artifacts. Current evaluations include comparisons to bias as measured by a body coil in human MR images. },
    journal = {Medical Imaging 2004},
    keywords = {Arteries,carotid arteries,carotid artery,Correction,Inhomogeneity correction,MR,plaque},
    url = {http://link.aip.org/link/?PSI/5370/2114/1} 
    }
    

  8. O. Salvado, C. Hillenbrand, and D.L. Wilson. MR Signal Sensitivity Inhomogeneity Correction for Assessment of Atherosclerosis Disease. In CGI'04, Hawaii, 2004. M.H. Hamza. ISBN: 0-88986-418-7. Keyword(s): imaging, MRI, inhomogeneity, atherosclerosis, classification, segmentation, FCM.
    Abstract:
    We are characterizing atherosclerotic disease in patients and animal models using multiple MR images having different contrasts such as T1-weighted, T2-weigted, and proton density weighted. We use intravascular and surface array coils giving good signal sensitivity but significant inhomogeneity. Because multiple images are obtained, it is desirable to acquire images quickly, limiting the signal to-noise ratio (SNR). In human carotid images, bias was corrected using a modified adaptive fuzzy c-mean method with a mechanical membrane model of the bias field [1]. Noise reduction filtering, background segmentation, outlier class identification, and signal normalization were all designed to address specific technical issues such as the noise, steepness of the sensitivity fall-off, and absence of signal near regions of interest due to fat suppression and blood flow compensation. In a synthetic image having a bias field measured from our MR system, variations across an area comparable to a carotid artery were reduced from 60\% to <5\% with processing while the misclassification rate was kept below 4\% even with a poor SNR of <7. Human carotid images were qualitatively improved and large regions of skeletal muscle were quantitatively flattened and normalized for inter- and intra-subject variation. The method will facilitate interpretation of artery gray scales for manual plaque characterization and enable computerized plaque classification.

    @INPROCEEDINGS{salvado_mr_2004-1,
    author = {O. Salvado and C. Hillenbrand and D.L. Wilson},
    title = {MR Signal Sensitivity Inhomogeneity Correction for Assessment of Atherosclerosis Disease},
    booktitle = {CGI'04},
    year = {2004},
    address = {Hawaii},
    publisher = {M.H. Hamza},
    abstract = {We are characterizing atherosclerotic disease in patients and animal models using multiple MR images having different contrasts such as T1-weighted, T2-weigted, and proton density weighted. We use intravascular and surface array coils giving good signal sensitivity but significant inhomogeneity. Because multiple images are obtained, it is desirable to acquire images quickly, limiting the signal to-noise ratio (SNR). In human carotid images, bias was corrected using a modified adaptive fuzzy c-mean method with a mechanical membrane model of the bias field [1]. Noise reduction filtering, background segmentation, outlier class identification, and signal normalization were all designed to address specific technical issues such as the noise, steepness of the sensitivity fall-off, and absence of signal near regions of interest due to fat suppression and blood flow compensation. In a synthetic image having a bias field measured from our MR system, variations across an area comparable to a carotid artery were reduced from 60\% to <5\% with processing while the misclassification rate was kept below 4\% even with a poor SNR of <7. Human carotid images were qualitatively improved and large regions of skeletal muscle were quantitatively flattened and normalized for inter- and intra-subject variation. The method will facilitate interpretation of artery gray scales for manual plaque characterization and enable computerized plaque classification.},
    isbn = {0-88986-418-7},
    journal = {Computer Graphics and Imaging - 2004},
    keywords = {imaging,MRI,inhomogeneity,atherosclerosis,classification,segmentation,FCM},
    url = {http://www.actapress.com/Abstract.aspx?paperId=16956} 
    }
    

  9. O. Salvado, C. Hillenbrand, S. Zhang, J.S. Suri, and D.L. Wilson. MR Signal inhomogeneity correction for Visual and computerized atherosclerosis lesion assessment. In ISBI'04, Arlington, VA, pages 1143-1146, April 2004. IEEE. Keyword(s): Atherosclerosis, carotid, MRI, bias field, inhomogeneity, classification, segmentation, fuzzy C-means, MR.
    @INPROCEEDINGS{salvado_mr_2004,
    author = {O. Salvado and C. Hillenbrand and S. Zhang and J.S. Suri and D.L. Wilson},
    title = {MR Signal inhomogeneity correction for Visual and computerized atherosclerosis lesion assessment},
    booktitle = {ISBI'04},
    year = {2004},
    pages = {1143-1146},
    address = {Arlington, VA },
    month = "April",
    publisher = {IEEE},
    journal = {2004 IEEE International Symposium on Biomedical Imaging: From nano to Micro },
    keywords = {Atherosclerosis,carotid,MRI,bias field,inhomogeneity,classification,segmentation,fuzzy C-means,MR} 
    }
    

  10. O. Salvado and D.L. Wilson. Entropy based method to correct intensity inhomogeneity in MR images.. In EMBS'04, San Francisco, CA, pages 164-167, 2004. IEEE. Keyword(s): Atherosclerosis, carotid, MRI, bias field, inhomogeneity, classification, segmentation, entropy, entropy, IMAGES, Intensity inhomogeneities, intensity inhomogeneity, medicine, MR, MR images.
    @INPROCEEDINGS{salvado_entropy_2004,
    author = {O. Salvado and D.L. Wilson},
    title = {Entropy based method to correct intensity inhomogeneity in MR images.},
    booktitle = {EMBS'04},
    year = {2004},
    pages = {164-167},
    address = {San Francisco, CA},
    publisher = {IEEE},
    journal = {26th Annual International Conference of the IEEE EMBS },
    keywords = {Atherosclerosis,carotid,MRI,bias field,inhomogeneity,classification,segmentation,entropy,entropy,IMAGES,Intensity inhomogeneities,intensity inhomogeneity,medicine,MR,MR images} 
    }
    

  11. J.S.P. Yuen, C.H. Thng, P.H. Tan, S.J.L. Phee, D. Xiao, F.C.F. Chan, W.K.O. Lau, W.S. Ng, and C.W.S Cheng. A Robotic Prostate Biopsy Device: The Answer to Our Current Inaccurate Manual Biopsy System. In Proc. Urology Fair 2004, Singapore, 2004.
    @INPROCEEDINGS{DiXiaoC007,
    author = {J.S.P. Yuen and C.H. Thng and P.H. Tan and S.J.L. Phee and D. Xiao and F.C.F. Chan and W.K.O. Lau and W.S. Ng and C.W.S Cheng},
    title = {A Robotic Prostate Biopsy Device: The Answer to Our Current Inaccurate Manual Biopsy System},
    booktitle = {Proc. Urology Fair 2004},
    year = {2004},
    address = {Singapore} 
    }
    

  12. H. de Visser, C.M. Engstrom, C.J. Adam, S. Crozier, and M.J. Pearcy. Development of a model of stress fractures in the lumbar vertebrae of cricket fast bowlers. In Proceedings of SpineWeek 2004, Porto, Portugal, May 30 - June 5 2004. Note: Abstract P354.
    @InProceedings{deVisser:spw:04,
    author = {de Visser, H. and Engstrom, C.M., and Adam, C.J. and Crozier, S. and Pearcy, M.J.},
    title = {Development of a model of stress fractures in the lumbar vertebrae of cricket fast bowlers},
    booktitle = {Proceedings of SpineWeek 2004},
    address = {Porto, Portugal},
    year = {2004},
    month = {May 30 - June 5},
    note = {Abstract P354} 
    }
    

  13. H. de Visser, C. Rowe, and M.J. Pearcy. Six degree of freedom testing of lumbar spine segments in a sheep model. In Proceedings of Adelaide Centre for Spinal Research Spinal Research Symposium II, Barossa Valley, Australia, August 31 - September 2 2004.
    @InProceedings{deVisser:acsr:04,
    author = {de Visser, H. and Rowe, C. and Pearcy, M.J.},
    title = {Six degree of freedom testing of lumbar spine segments in a sheep model},
    booktitle = {Proceedings of Adelaide Centre for Spinal Research Spinal Research Symposium II},
    address = {Barossa Valley, Australia},
    year = {2004},
    month = {August 31 - September 2} 
    }
    


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