Tamar Riklin Raviv

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Tamar Riklin Raviv

 https://orcid.org/0000-0003-2532-5875
19992024

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  • 2023

    Generating Artistic Images Via Few-Shot Style Transfer

    Buchnik, I., Berebi, O., Raviv, T. R. & Shlezinger, N., 1 Jan 2023, ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers, (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2022

    A DEEP ENSEMBLE LEARNING APPROACH TO LUNG CT SEGMENTATION FOR COVID-19 SEVERITY ASSESSMENT

    Ben-Haim, T., Sofer, R. M., Ben-Arie, G., Shelef, I. & Raviv, T. R., 1 Jan 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. Institute of Electrical and Electronics Engineers, p. 151-155 5 p. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    5 Scopus citations

  • Graph Neural Network for Cell Tracking in Microscopy Videos

    Ben-Haim, T. & Raviv, T. R., 1 Jan 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 610-626 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13681 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations
  • 2021

    Deep Semi-Supervised Bias Field Correction Of Mr Images

    Goldfryd, T., Gordon, S. & Riklin Raviv, T., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). Institute of Electrical and Electronics Engineers, p. 1836-1840 5 p. 9433889. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations
  • 2019

    DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography

    Benou, I. & Riklin Raviv, T., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 626-635 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    19 Scopus citations

  • Microscopy cell segmentation via convolutional LSTM networks

    Arbelle, A. & Raviv, T. R., 1 Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. Institute of Electrical and Electronics Engineers, p. 1008-1012 5 p. 8759447. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    57 Scopus citations
  • 2018

    Fiber-flux diffusion density for white matter tracts analysis: Application to mild anomalies localization in contact sports players

    Benou, I., Veksler, R., Friedman, A. & Raviv, T. R., 1 Jan 2018, Computational Diffusion MRI - MICCAI Workshop, 2017. Kaden, E., Grussu, F., Ning, L., Tax, C. M. W. & Veraart, J. (eds.). Springer, p. 191-204 14 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Microscopy Cell Segmentation via Adversarial Neural Networks

    Arbelle, A. & Riklin Raviv, T., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). Institute of Electrical and Electronics Engineers, p. 645-648 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    34 Scopus citations

  • Model-dependent uncertainty estimation of medical image segmentation

    Hershkovitch, T. & Riklin-Raviv, T., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Institute of Electrical and Electronics Engineers, p. 1373-1376 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations

  • Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri

    Hamu Goldberg, H. B., Mushkin, J., Raviv, T. R. & Sochen, N., 29 Aug 2018, 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, p. 734-737 4 p. 8451505. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Symmetry-based analysis of diffusion MRI for the detection of brain impairments

    Gorodissky, O. A., Sharon, A., Danov, A., Friedman, A. & Raviv, T. R., 29 Aug 2018, 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, p. 376-379 4 p. 8451669. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations
  • 2017

    Accelerated magnetic resonance imaging by adversarial neural network

    Shitrit, O. & Riklin Raviv, T., 1 Jan 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, p. 30-38 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    29 Scopus citations

  • Atlas of classifiers for brain MRI segmentation

    Kodner, B., Gordon, S., Goldberger, J. & Riklin Raviv, T., 1 Jan 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H.-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 36-44 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Multinomial Level-Set Framework for Multi-region Image Segmentation

    Raviv, T. R., 2017, Scale Space and Variational Methods in Computer Vision - 6th International Conference, SSVM 2017, Proceedings. Lauze, F., Dong, Y. & Dahl, A. B. (eds.). Springer Verlag, p. 386-395 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10302 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2016

    Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI

    Gordon, S., Dolgopyat, I., Kahn, I. & Raviv, T. R., 15 Jun 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Institute of Electrical and Electronics Engineers, p. 399-402 4 p. 7493292. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks

    Benou, A., Veksler, R., Friedman, A. & Riklin Raviv, T., 1 Jan 2016, Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Lu, Z., Belagiannis, V., Tavares, J. M. R. S., Cardoso, J. S., Bradley, A., Papa, J. P., Nascimento, J. C., Loog, M., Cornebise, J., Carneiro, G., Mateus, D. & Peter, L. (eds.). Springer Verlag, p. 95-110 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10008 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    21 Scopus citations
  • 2015

    Analysis of High-Throughput Microscopy Videos: Catching Up with Cell Dynamics

    Arbelle, A., Drayman, N., Bray, M., Alon, U., Carpenter, A. & Raviv, T. R., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings. Frangi, A. F., Navab, N., Hornegger, J. & Wells, W. M. (eds.). Springer Verlag, p. 218-225 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Scopus citations

  • Symmetry-Based Mitosis Detection in Time-Lapse Microscopy

    Gilad, T., Bray, M. A., Carpenter, A. E. & Raviv, T. R., 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. Institute of Electrical and Electronics Engineers, p. 164-167 4 p. 7163841. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    12 Scopus citations
  • 2014

    Connectivity-based Parcellation of the Striatum in Schizophrenia Using Diffusion Weighted Imaging (DWI)

    Levitt, J., Rathi, Y., McCarley, R., Shenton, M. & Riklin Raviv, T., 2014, NEUROPSYCHOPHARMACOLOGY. Vol. 39. p. S221-S222

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2012

    Statistical shape analysis for population studies via level-set based shape morphing

    Riklin Raviv, T., Gao, Y., Levitt, J. J. & Bouix, S., 1 Jan 2012, Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1 ed. Springer Verlag, p. 42-51 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7583 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations
  • 2011

    Learning a spatio-temporal latent atlas for fetal brain segmentation

    Dittrich, E., Kasprian, G., Brugger, P. C., Prayer, D., Langs, G. & Riklin Raviv, T., 2011, Proceedings of the MICCAI 2011 Workshop on Image Analysis of Human Brain Development (IAHBD 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2010

    Morphology-guided graph search for untangling objects: C. elegans analysis

    Raviv, T. R., Ljosa, V., Conery, A. L., Ausubel, F. M., Carpenter, A. E., Golland, P. & Wählby, C., 22 Nov 2010, Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 3 ed. p. 634-641 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6363 LNCS, no. PART 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    20 Scopus citations

  • Resolving clustered worms via probabilistic shape models

    Wählby, C., Riklin-Raviv, T., Ljosa, V., Conery, A. L., Golland, P., Ausubel, F. M. & Carpenter, A. E., 9 Aug 2010, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. p. 552-555 4 p. 5490286. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    29 Scopus citations
  • 2009

    Interactive level set segmentation for image-guided therapy

    Ben-Zadok, N., Riklin-Raviv, T. & Kiryati, N., 17 Nov 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 1079-1082 4 p. 5193243. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    29 Scopus citations

  • Joint segmentation of image ensembles via latent atlases

    Riklin Raviv, T., Van Leemput, K., Wells, W. M. & Golland, P., 1 Dec 2009, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1 ed. p. 272-280 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5761 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    3 Scopus citations

  • Joint segmentation via patient-specific latent anatomy model

    Raviv, T. R., Menze, B., Van Leemput, K., Stieltjes, B., Weber, M., Ayache, N., Wells, W. & Golland, P., 2009, Proceedings of the MICCAI 2009 Workshop on Probabilistic Models for Medical Image Analysis (PMMIA 2009). p. 244-255 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2008

    Real-time abnormal motion detection in surveillance video

    Kiryati, N., Raviv, T. R., Ivanchenko, Y. & Rochel, S., 1 Jan 2008, 2008 19th International Conference on Pattern Recognition, ICPR 2008. Institute of Electrical and Electronics Engineers, 4761138. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    46 Scopus citations
  • 2007

    Propagating distributions for segmentation of brain atlas

    Riklin-Raviv, T., Soechen, N., Kiryati, N., Ben-Zadok, N., Gefen, S., Bertand, L. & Nissanov, J., 27 Nov 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. p. 1304-1307 4 p. 4193533. (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations
  • 2006

    Mutual segmentation with level sets

    Riklin-Raviv, T., Sochen, N. & Kiryati, N., 21 Dec 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop. 1640625. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations

  • Segmentation by level sets and symmetry

    Riklin-Raviv, T., Kiryati, N. & Sochen, N., 22 Dec 2006, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. p. 1015-1022 8 p. 1640862. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    27 Scopus citations
  • 2005

    Prior-based segmentation by projective registration and level sets

    Riklin-Raviv, T., Kiryati, N. & Sochen, N., 1 Dec 2005, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. p. 204-211 8 p. 1541258. (Proceedings of the IEEE International Conference on Computer Vision; vol. I).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    29 Scopus citations