Number of items: 61.
2024
Zakeri, A., Hokmabadi, A., Nix, M. G., Gooya, A. , Wijesinghe, I. and Taylor, Z. A.
(2024)
4D-Precise: learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections.
Computer Methods and Programs in Biomedicine, 250,
108158.
(doi: 10.1016/j.cmpb.2024.108158)
(PMID:38604010)
Godson, L., Alemi, N., Nsengimana, J., Cook, G. P., Clarke, E. L., Treanor, D., Bishop, D. T., Newton-Bishop, J., Gooya, A. and Magee, D.
(2024)
Immune subtyping of melanoma whole slide images using multiple instance learning.
Medical Image Analysis, 93,
103097.
(doi: 10.1016/j.media.2024.103097)
(PMID:38325154)
2023
Elhaminia, B., Gilbert, A., Lilley, J., Abdar, M., Frangi, A. F., Scarsbrook, A., Appelt, A. and Gooya, A.
(2023)
Toxicity prediction in pelvic radiotherapy using multiple instance learning and cascaded attention layers.
IEEE Journal of Biomedical and Health Informatics, 27(4),
pp. 1958-1966.
(doi: 10.1109/JBHI.2023.3238825)
Zakeri, A., Hokmabadi, A., Bi, N., Wijesinghe, I., Nix, M. G., Petersen, S. E., Frangi, A. F., Taylor, Z. A. and Gooya, A.
(2023)
DragNet: learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.
Medical Image Analysis, 83,
102678.
(doi: 10.1016/j.media.2022.102678)
(PMID:36403308)
2022
Appelt, A.L., Elhaminia, B., Gooya, A. , Gilbert, A. and Nix, M.
(2022)
Deep learning for radiotherapy outcome prediction using dose data – a review.
Clinical Oncology, 34(2),
e87-e96.
(doi: 10.1016/j.clon.2021.12.002)
(PMID:34924256)
Zakeri, A., Hokmabadi, A., Ravikumar, N., Frangi, A. F. and Gooya, A.
(2022)
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment.
Medical Image Analysis, 75,
102276.
(doi: 10.1016/j.media.2021.102276)
(PMID:34753021)
2020
Kumar, N. et al.
(2020)
A multi-organ nucleus segmentation challenge.
IEEE Transactions on Medical Imaging, 39(5),
pp. 1380-1391.
(doi: 10.1109/TMI.2019.2947628)
(PMID:31647422)
2019
Burgos, N., Gooya, A. and Svoboda, D.
(2019)
Preface.
In: Burgos, N., Gooya, A. and Svoboda, D. (eds.)
Simulation and Synthesis in Medical Imaging.
Series: Lecture notes in computer science (11827).
Springer, v-vi.
ISBN 9783030327774
Alemi Koohbanani, N., Jahanifar, M., Gooya, A. and Rajpoot, N.
(2019)
Nuclear instance segmentation using a proposal-free spatially aware deep learning framework.
In: Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P.-T. and Khan, A. (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.
Series: Lecture Notes in Computer Science, 11764.
Springer: Cham, pp. 622-630.
ISBN 9783030322380
(doi: 10.1007/978-3-030-32239-7_69)
Attar, R. et al.
(2019)
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Analysis, 56,
pp. 26-42.
(doi: 10.1016/j.media.2019.05.006)
(PMID:31154149)
Zhang, L., Gooya, A. , Pereanez, M., Dong, B., Piechnik, S.K., Neubauer, S., Petersen, S.E. and Frangi, A.F.
(2019)
Automatic assessment of full left ventricular coverage in cardiac cine magnetic resonance imaging with Fisher-discriminative 3-D CNN.
IEEE Transactions on Biomedical Engineering, 66(7),
pp. 1975-1986.
(doi: 10.1109/TBME.2018.2881952)
Ravikumar, N., Gooya, A. , Beltrachini, L., Frangi, A.F. and Taylor, Z.A.
(2019)
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data.
Medical Image Analysis, 53,
pp. 47-63.
(doi: 10.1016/j.media.2019.01.001)
(PMID:30684740)
Jahanifar, M., Zamani Tajeddin, N., Mohammadzadeh Asl, B. and Gooya, A.
(2019)
Supervised saliency map driven segmentation of lesions in dermoscopic images.
IEEE Journal of Biomedical and Health Informatics, 23(2),
pp. 509-518.
(doi: 10.1109/JBHI.2018.2839647)
(PMID:29994323)
Attar, R., Pereañez, M., Gooya, A. , Albà, X., Zhang, L., Piechnik, S.K., Neubauer, S., Petersen, S.E. and Frangi, A.F.
(2019)
High throughput computation of reference ranges of biventricular cardiac function on the UK biobank population cohort.
In: Pop, M., Sermesant, M., Zhao, J., Li, S., McLeod, K., Young, A., Rhode, K. and Mansi, T. (eds.)
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges.
Series: Lecture Notes in Computer Science, 11395.
Springer: Cham, pp. 114-121.
ISBN 9783030120283
(doi: 10.1007/978-3-030-12029-0_13)
Fehri, H., Gooya, A. , Lu, Y., Meijering, E., Johnston, S.A. and Frangi, A.F.
(2019)
Bayesian polytrees with learned deep features for multi-class cell segmentation.
IEEE Transactions on Image Processing, 28(7),
pp. 3246-3260.
(doi: 10.1109/TIP.2019.2895455)
2018
Gooya, A. , Goksel, O., Oguz, I. and Burgos, N.
(2018)
Preface.
In: Gooya, A., Oguz, I., Goksel, O. and Burgos, N. (eds.)
Simulation and Synthesis in Medical Imaging.
Series: Lecture notes in computer science (11037).
Springer, v-vi.
ISBN 9783030005351
Nemat, H., Fehri, H., Ahmadinejad, N., Frangi, A.F. and Gooya, A.
(2018)
Classification of breast lesions in ultrasonography using sparse logistic regression and morphology-based texture features.
Medical Physics, 45(9),
pp. 4112-4124.
(doi: 10.1002/mp.13082)
(PMID:29974971)
Koohababni, N.A., Jahanifar, M., Gooya, A. and Rajpoot, N.
(2018)
Nuclei detection using mixture density networks.
In: Shi, Y., Suk, H.-I. and Liu, M. (eds.)
Machine Learning in Medical Imaging.
Series: Lecture Notes in Computer Science, 11046.
Springer: Cham, pp. 241-248.
ISBN 9783030009182
(doi: 10.1007/978-3-030-00919-9_28)
Gooya, A. , Lekadir, K., Castro-Mateos, I., Pozo, J.M. and Frangi, A.F.
(2018)
Mixture of probabilistic principal component analyzers for shapes from point sets.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(4),
pp. 891-904.
(doi: 10.1109/TPAMI.2017.2700276)
(PMID:28475045)
Suinesiaputra, A. et al.
(2018)
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.
IEEE Journal of Biomedical and Health Informatics, 22(2),
pp. 503-515.
(doi: 10.1109/JBHI.2017.2652449)
(PMID:28103561)
(PMCID:PMC5857476)
Ravikumar, N., Gooya, A. , Çimen, S., Frangi, A.F. and Taylor, Z.A.
(2018)
Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models.
Medical Image Analysis, 44,
pp. 156-176.
(doi: 10.1016/j.media.2017.11.012)
(PMID:29248842)
2017
Kalaie, S. and Gooya, A.
(2017)
Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.
Computer Methods and Programs in Biomedicine, 151,
pp. 139-149.
(doi: 10.1016/j.cmpb.2017.08.018)
(PMID:28946995)
Tsaftaris, S. A., Gooya, A. , Frangi, A. F. and Prince, J. L. (Eds.)
(2017)
Simulation and synthesis in medical imaging: Second international workshop, SASHIMI 2017 held in conjunction with MICCAI 2017 Québec city, QC, Canada, September 10, 2017 proceedings.
Series: Lecture notes in computer science.
Springer.
ISBN 9783319681269
Tsaftaris, S.A., Gooya, A. , Frangi, A.F. and Prince, J.L.
(2017)
Preface.
In: Tsaftaris, S.A., Gooya, A., Frangi, A.F. and Prince, J.L. (eds.)
Simulation and Synthesis in Medical Imaging.
Series: Lecture notes in computer science (10557).
Springer, v-vi.
ISBN 9783319681269
Zhang, L., Gooya, A. and Frangi, A.F.
(2017)
Semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets.
In: Tsaftaris, S. A., Gooya, A., Frangi, A. F. and Prince, J. L. (eds.)
Simulation and Synthesis in Medical Imaging.
Series: Lecture notes in computer science (10557).
Springer, pp. 61-68.
ISBN 9783319681269
(doi: 10.1007/978-3-319-68127-6_7)
Asl, M.E., Koohbanani, N.A., Frangi, A.F. and Gooya, A.
(2017)
Tracking and diameter estimation of retinal vessels using Gaussian process and Radon transform.
Journal of Medical Imaging, 4(3),
034006.
(doi: 10.1117/1.JMI.4.3.034006)
(PMID:28924571)
(PMCID:PMC5594385)
Ravikumar, N., Gooya, A. , Frangi, A.F. and Taylor, Z.A.
(2017)
Generalised coherent point drift for group-wise registration of multi-dimensional point sets.
In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. and Duchesne, S. (eds.)
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017.
Series: Lecture Notes in Computer Science, 10433.
Springer: Cham, pp. 309-316.
ISBN 9783319661810
(doi: 10.1007/978-3-319-66182-7_36)
Shaukat, F., Raja, G., Gooya, A. and Frangi, A.F.
(2017)
Fully automatic detection of lung nodules in CT images using a hybrid feature set.
Medical Physics, 44(7),
pp. 3615-3629.
(doi: 10.1002/mp.12273)
(PMID:28409834)
Fehri, H., Gooya, A. , Johnston, S.A. and Frangi, A.F.
(2017)
Multi-class image segmentation in fluorescence microscopy using polytrees.
In: Niethammer, M., Styner, M., Aylward, S., Zhu, H., Oguz, I., Yap, P.-T. and Shen, D. (eds.)
Information Processing in Medical Imaging.
Series: Lecture Notes in Computer Science, 10265.
Springer: Cham, pp. 517-528.
ISBN 9783319590493
(doi: 10.1007/978-3-319-59050-9_41)
2016
Sarrami-Foroushani, A., Lassila, T., Gooya, A. , Geers, A.J. and Frangi, A.F.
(2016)
Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability.
Journal of Biomechanics, 49(16),
pp. 3815-3823.
(doi: 10.1016/j.jbiomech.2016.10.005)
(PMID:28573970)
Cimen, S., Gooya, A. , Ravikumar, N., Taylor, Z.A. and Frangi, A.F.
(2016)
Reconstruction of coronary artery centrelines from X-ray angiography using a mixture of student’s t-distributions.
In: Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. and Wells, W. (eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III.
Series: Lecture notes in computer science (9902).
Springer, pp. 291-299.
ISBN 9783319467252
(doi: 10.1007/978-3-319-46726-9_34)
Ravikumar, N., Gooya, A. , Cimen, S., Frangi, A.F. and Taylor, Z.A.
(2016)
A multi-resolution T-mixture model approach to robust group-wise alignment of shapes.
In: Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. and Wells, W. (eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016.
Series: Lecture notes in computer science (9902).
Springer, pp. 142-149.
ISBN 9783319467252
(doi: 10.1007/978-3-319-46726-9_17)
Sarrami-Foroushani, A., Lassila, T., Pozo, J.M., Gooya, A. and Frangi, A.F.
(2016)
Direct estimation of wall shear stress from aneurysmal morphology: a statistical approach.
In: Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. and Wells, W. (eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016.
Series: Lecture notes in computer science (9902).
Springer, pp. 201-209.
ISBN 9783319467252
(doi: 10.1007/978-3-319-46726-9_24)
Frangi, A.F., Taylor, Z.A. and Gooya, A.
(2016)
Precision Imaging: more descriptive, predictive and integrative imaging.
Medical Image Analysis, 33,
pp. 27-32.
(doi: 10.1016/j.media.2016.06.024)
(PMID:27373145)
Tsaftaris, S.A., Gooya, A. , Frangi, A.F. and Prince, J.L.
(2016)
Preface.
In: Tsaftaris, S. A., Gooya, A., Frangi, A. F. and Prince, J. L. (eds.)
Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings.
Series: Lecture notes in computer science (9968).
Springer, V-VI.
ISBN 9783319466293
Zhang, L., Gooya, A. , Dong, B., Hua, R., Petersen, S.E., Medrano-Gracia, P. and Frangi, A.F.
(2016)
Automated quality assessment of cardiac MR images using convolutional neural networks.
In: Tsaftaris, S. A., Gooya, A., Frangi, A. F. and Prince, J. L. (eds.)
Simulation and Synthesis in Medical Imaging.
Series: Lecture notes in computer science (9968).
Springer, pp. 138-145.
ISBN 9783319466293
(doi: 10.1007/978-3-319-46630-9_14)
Cimen, S., Gooya, A. , Grass, M. and Frangi, A.F.
(2016)
Reconstruction of coronary arteries from X-ray angiography: a review.
Medical Image Analysis, 32,
pp. 46-68.
(doi: 10.1016/j.media.2016.02.007)
(PMID:27054277)
Cimen, S., Gooya, A. and Frangi, A.F.
(2016)
Reconstruction of Coronary Artery Centrelines from X-ray Rotational Angiography Using a Probabilistic Mixture Model.
In: SPIE Medical Imaging 2016, San Diego, CA, United States, 1–3 March 2016,
ISBN 9781510600195
(doi: 10.1117/12.2217116)
Ravikumar, N., Gooya, A. , Frangi, A.F. and Taylor, Z.A.
(2016)
Robust Group-Wise Rigid Registration of Point Sets Using T-Mixture Model.
In: SPIE Medical Imaging 2016, San Diego, CA, United States, 1–3 March 2016,
ISBN 9781510600195
(doi: 10.1117/12.2216244)
Peng, P., Lekadir, K., Gooya, A. , Shao, L., Petersen, S.E. and Frangi, A.F.
(2016)
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging.
Magnetic Resonance Materials in Physics, Biology and Medicine, 29(2),
pp. 155-195.
(doi: 10.1007/s10334-015-0521-4)
(PMID:26811173)
(PMCID:PMC4830888)
Pinto, C., Cimen, S., Gooya, A. , Lekadir, K. and Frangi, A.F.
(2016)
Joint clustering and component analysis of spatio-temporal shape patterns in myocardial infarction.
In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M. and Young, A. (eds.)
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges.
Series: Lecture notes in computer science (9534).
Springer, pp. 171-179.
ISBN 9783319287119
(doi: 10.1007/978-3-319-28712-6_19)
2015
Shamekhi, S., Miran Baygi, M.H., Azarian, B. and Gooya, A.
(2015)
A novel multi-scale Hessian based spot enhancement filter for two dimensional gel electrophoresis images.
Computers in Biology and Medicine, 66,
pp. 154-169.
(doi: 10.1016/j.compbiomed.2015.07.010)
(PMID:26409228)
Shamekhi, S., Miran Beygi, M.H., Azarian, B. and Gooya, A.
(2015)
A novel spot-enhancement anisotropic diffusion method for the improvement of segmentation in two-dimensional gel electrophoresis images, based on the watershed transform algorithm.
Iranian Journal of Medical Physics, 12(3),
pp. 209-222.
(doi: 10.22038/IJMP.2015.6222)
Gooya, A. , Lekadir, K., Alba, X., Swift, A.J., Wild, J.M. and Frangi, A.F.
(2015)
Joint clustering and component analysis of correspondenceless point sets: application to cardiac statistical modeling.
In: Ourselin, S., Alexander, D. C., Westin, C.-F. and Cardoso, M. J. (eds.)
Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings.
Series: Lecture notes in computer science (9123).
Springer, pp. 98-109.
ISBN 9783319199917
(doi: 10.1007/978-3-319-19992-4_8)
Gooya, A. , Davatzikos, C. and Frangi, A.F.
(2015)
A Bayesian approach to sparse model selection in statistical shape models.
SIAM Journal on Imaging Sciences, 8(2),
pp. 858-887.
(doi: 10.1137/140982039)
2014
Samsami, M.M., Firoozabadi, S.M.P. and Gooya, A.
(2014)
A Morphological Approach for Mental Fatigue Assessment.
In: 2013 20th Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, 18-20 December 2013,
ISBN 9781479932320
(doi: 10.1109/ICBME.2013.6782225)
2013
Gooya, A. , Mousavi, E., Davatzikos, C. and Liao, H.
(2013)
A Bayesian approach for construction of sparse statistical shape models using Dirichlet distribution.
In: Liao, H., Linte, C. A., Masamune, K., Peters, T. M. and Zheng, G. (eds.)
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions.
Series: Lecture notes in computer science (8090).
Springer, pp. 144-152.
ISBN 9783642408427
(doi: 10.1007/978-3-642-40843-4_16)
2012
Gooya, A. , Liao, H. and Sakuma, I.
(2012)
Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation.
Computerized Medical Imaging and Graphics, 36(6),
pp. 474-483.
(doi: 10.1016/j.compmedimag.2012.04.007)
(PMID:22664135)
Gooya, A. , Pohl, K.M., Bilello, M., Cirillo, L., Biros, G., Melhem, E.R. and Davatzikos, C.
(2012)
GLISTR: Glioma image segmentation and registration.
IEEE Transactions on Medical Imaging, 31(10),
pp. 1941-1954.
(doi: 10.1109/TMI.2012.2210558)
(PMID:22907965)
(PMCID:PMC4371551)
2011
Davatzikos, C., Zacharaki, E.I., Gooya, A. and Clark, V.
(2011)
Multi-Parametric Analysis and Registration of Brain Tumors: Constructing Statistical Atlases and Diagnostic Tools of Predictive Value.
In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, 30 August - 3 September 2011,
ISBN 9781457715891
(doi: 10.1109/IEMBS.2011.6091764)
Gooya, A. , Pohl, K.M., Bilello, M., Biros, G. and Davatzikos, C.
(2011)
Joint segmentation and deformable registration of brain scans guided by a tumor growth model.
In: Fichtinger, G., Martel, A. and Peters, T. (eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011.
Series: Lecture notes in computer science (6892).
Springer, pp. 532-540.
ISBN 9783642236280
(doi: 10.1007/978-3-642-23629-7_65)
Gooya, A. , Biros, G. and Davatzikos, C.
(2011)
Deformable registration of glioma images using em algorithm and diffusion reaction modeling.
IEEE Transactions on Medical Imaging, 30(2),
pp. 375-390.
(doi: 10.1109/TMI.2010.2078833)
(PMID:20876010)
(PMCID:PMC3245665)
2010
Batmanghelich, N., Gooya, A. , Kanterakis, S., Taskar, B. and Davatzikos, C.
(2010)
Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy.
In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, San Francisco, CA, USA, 13-18 June 2010,
ISBN 9781424470303
(doi: 10.1109/CVPRW.2010.5543596)
Gooya, A. , Biros, G. and Davatzikos, C.
(2010)
An EM Algorithm for Brain Tumor Image Registration: A Tumor Growth Modeling Based Approach.
In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, San Francisco, CA, USA, 13-18 June 2010,
p. 3.
ISBN 9781424470303
(doi: 10.1109/CVPRW.2010.5543440)
2008
Gooya, A. , Dohi, T., Sakuma, I. and Liao, H.
(2008)
R-PLUS: A Riemannian anisotropic edge detection scheme for vascular segmentation.
In: Metaxas, D., Axel, L., Fichtinger, G. and Székely, G. (eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008.
Series: Lecture notes in computer science (5241).
Springer, pp. 262-269.
ISBN 9783540859871
(doi: 10.1007/978-3-540-85988-8_32)
Gooya, A. , Dohi, T., Sakuma, I. and Liao, H.
(2008)
Anisotropic haralick edge detection scheme with application to vessel segmentation.
In: Dohi, T., Sakuma, I. and Liao, H. (eds.)
Medical Imaging and Augmented Reality: 4th International Workshop Tokyo, Japan, August 1-2, 2008, Proceedings.
Series: Lecture notes in computer science (5128).
Springer, pp. 430-438.
ISBN 9783540799818
(doi: 10.1007/978-3-540-79982-5_47)
Gooya, A. , Liao, H., Matsumiya, K., Masamune, K., Masutani, Y. and Dohi, T.
(2008)
A variational method for geometric regularization of vascular segmentation in medical images.
IEEE Transactions on Image Processing, 17(8),
pp. 1295-1312.
(doi: 10.1109/TIP.2008.925378)
(PMID:18632340)
2007
Gooya, A. , Liao, H., Matsumiya, K., Masamune, K. and Dohi, T.
(2007)
Effective statistical edge integration using a flux maximizing scheme for volumetric vascular segmentation in MRA.
In: Karssemeijer, N. and Lelieveldt, B. (eds.)
Information Processing in Medical Imaging: 20th International Conference, IPMI 2007, Kerkrade, The Netherlands, July 2-6, 2007, Proceedings.
Series: Lecture notes in computer science.
Springer, pp. 86-97.
ISBN 9783540732723
(doi: 10.1007/978-3-540-73273-0_8)
Gooya, A. , Hongen, L., Matsumiya, K., Masamune, K. and Dohi, T.
(2007)
A Shape Induced Anisotropic Flow for Volumetric Vascular Segmentation in MRA.
In: 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 12-15 April 2007,
pp. 664-667.
ISBN 1424406714
(doi: 10.1109/ISBI.2007.356939)
2006
Gooya, A. , Liao, H., Matsumiya, K., Masamune, K. and Dohi, T.
(2006)
Pulsative flow segmentation in MRA image series by AR modeling and em algorithm.
In: Yang, G.-Z., Jiang, T., Shen, D., Gu, L. and Yang, J. (eds.)
Medical Imaging and Augmented Reality: Third International Workshop, Shanghai, China, August 17-18, 2006, Proceedings.
Series: Lecture notes in computer science.
Springer, pp. 356-363.
ISBN 9783540372202
(doi: 10.1007/11812715_45)
Gooya, A. , Liao, H., Matsumiya, K., Masamune, K. and Dohi, T.
(2006)
Flow Segmentation in Phase Contrast MRA Image Series Using Autoregressive Modeling and Generalized EM Algorithm.
CARS 2006
pp. 466-467.
This list was generated on Fri Dec 13 12:33:47 2024 GMT.