Publications

Prof. Tammy Riklin Raviv (2023). Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. TPAMI.

DOI

Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez-de-Mariscal, Tereza Nečasová, Fidel A. Guerrero Peña, Tsang Ing Ren, Elliot M. Meyerowitz, Tim Scherr, Katharina Löffler, Ralf Mikut, Tianqi Guo, Yin Wang, Jan P. Allebach, Rina Bao, Noor M. Al-Shakarji, Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan, Filip Lux, Petr Matula, Ko Sugawara, Klas E. G. Magnusson, Layton Aho, Andrew R. Cohen, Assaf Arbelle, Tal Ben-Haim, Tammy Riklin Raviv, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein, Yanming Zhu, Cristina Ederra, Ainhoa Urbiola, Erik Meijering, Alexandre Cunha, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solórzano (2023). The Cell Tracking Challenge: 10 years of objective benchmarking. Nature Methods.

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Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger (2023). Generating Artistic Images Via Few-Shot Style Transfer. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

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Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv (2023). Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin Raviv (2022). A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment. 2022 IEEE International Conference on Image Processing (ICIP).

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Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv (2022). Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. IEEE Transactions on Medical Imaging.

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Tal Ben-Haim, Tammy Riklin Raviv (2022). Graph Neural Network for Cell Tracking in Microscopy Videos. arXiv.

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Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv (2021). Stochastic weight pruning and the role of regularization in shaping network structure. Neurocomputing.

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Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger, Tammy Riklin Raviv (2021). An atlas of classifiers—a machine learning paradigm for brain MRI segmentation. Medical & Biological Engineering & Computing.

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Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv (2021). Deep Semi-Supervised Bias Field Correction Of Mr Images. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

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Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin Raviv (2020). The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. arXiv.

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Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv (2020). Subsampled brain MRI reconstruction by generative adversarial neural networks. Medical Image Analysis.

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James J Levitt, Paul G Nestor, Marek Kubicki, Amanda E Lyall, Fan Zhang, Tammy Riklin Raviv, Lauren J O′Donnell, Robert W McCarley, Martha E Shenton, Yogesh Rathi (2020). Miswiring of Frontostriatal Projections in Schizophrenia. Schizophrenia Bulletin.

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Ronel Veksler, Udi Vazana, Yonatan Serlin, Ofer Prager, Jonathan Ofer, Nofar Shemen, Andrew M Fisher, Olga Minaeva, Ning Hua, Rotem Saar-Ashkenazy, Itay Benou, Tammy Riklin Raviv, Ellen Parker, Griffin Mumby, Lyna Kamintsky, Steven Beyea, Chris V Bowen, Ilan Shelef, Eoin O’Keeffe, Matthew Campbell, Daniela Kaufer, Lee E Goldstein, Alon Friedman (2020). Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players. Brain.

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Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin Raviv (2020). The Worrisome Impact of an Inter-rater Bias on Neural Network Training. arXiv.

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Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv (2020). DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. arXiv.

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Gidon Levakov, Gideon Rosenthal, Ilan Shelef, Tammy Riklin Raviv, Galia Avidan (2020). From a deep learning model back to the brain—Identifying regional predictors and their relation to aging. Human Brain Mapping.

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Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv (2019). Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. arXiv.

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Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv (2019). QANet -- Quality Assurance Network for Image Segmentation. arXiv.

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Gidon Levakov, Gideon Rosenthal, Ilan Shelef, Tammy Riklin Raviv, Galia Avidan (2019). From a deep learning model back to the brain - inferring morphological markers and their relation to aging. bioRxiv.

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Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv (2019). Combining white matter diffusion and geometry for tract-specific alignment and variability analysis. NeuroImage.

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Assaf Arbelle, Tammy Riklin Raviv (2019). Microscopy Cell Segmentation Via Convolutional LSTM Networks. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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Itay Benou, Tammy Riklin Raviv (2019). DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.

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O. A. Gorodissky, A. Sharon, A. Danov, A. Friedman, T. Riklin Raviv (2018). Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments. 2018 25th IEEE International Conference on Image Processing (ICIP).

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Heli Ben Hamu Goldberg, Jonathan Mushkin, Tammy Riklin Raviv, Nir Sochen (2018). Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri. 2018 25th IEEE International Conference on Image Processing (ICIP).

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Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv (2018). Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process. NeuroImage.

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Topaz Gilad, Jose Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv (2018). Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy. Bioinformatics.

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Shaked Cohen, Prof. Tammy Riklin Raviv (2018). Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. IEEE TMI.

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Assaf Arbelle, Jose Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv (2018). A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos. Medical Image Analysis.

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Tsachi Hershkovitch, Tammy Riklin Raviv (2018). Model-dependent uncertainty estimation of medical image segmentation. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

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Assaf Arbelle, Tammy Riklin Raviv (2018). Microscopy cell segmentation via adversarial neural networks. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

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Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv (2018). Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players. Computational Diffusion MRI.

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