Search Results - "Raviv, Tammy Riklin"

Deep learning‐based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention by Finkelstein, Ofek, Levakov, Gidon, Kaplan, Alon, Zelicha, Hila, Meir, Anat Yaskolka, Rinott, Ehud, Tsaban, Gal, Witte, Anja Veronica, Blüher, Matthias, Stumvoll, Michael, Shelef, Ilan, Shai, Iris, Riklin Raviv, Tammy, Avidan, Galia

“…Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) tools to explore whether differences in clinical measurements…”
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Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process by Gordon, Shiri, Dolgopyat, Irit, Kahn, Itamar, Riklin Raviv, Tammy

“…MRI Segmentation of a pathological brain poses a significant challenge, as the available anatomical priors that provide top-down information to aid…”
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A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation by Dittrich, Eva, Riklin Raviv, Tammy, Kasprian, Gregor, Donner, René, Brugger, Peter C., Prayer, Daniela, Langs, Georg

“…The latent atlas is learned from partially annotated data representing different gestational ages. For any age it encodes variability across the population…”
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From a deep learning model back to the brain—Identifying regional predictors and their relation to aging by Levakov, Gidon, Rosenthal, Gideon, Shelef, Ilan, Raviv, Tammy Riklin, Avidan, Galia

“…We present a Deep Learning framework for the prediction of chronological age from structural magnetic resonance imaging scans. Previous findings associate…”
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Subsampled brain MRI reconstruction by generative adversarial neural networks by Shaul, Roy, David, Itamar, Shitrit, Ohad, Riklin Raviv, Tammy

“…•A method for accelerating MRI by reconstruction of subsampled k-space data is presented.•Generative Adversarial neural networks are used for both estimating…”
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Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos by Arbelle, Assaf, Cohen, Shaked, Raviv, Tammy Riklin

“…Convolutional Neural Networks (CNNs) are considered state of the art segmentation methods for biomedical images in general and microscopy sequences of living…”
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Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation by Avi-Aharon, Mor, Arbelle, Assaf, Raviv, Tammy Riklin

“…We introduce the HueNet - a novel deep learning framework for a differentiable construction of intensity (1D) and joint (2D) histograms and present its…”
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Stochastic weight pruning and the role of regularization in shaping network structure by Ziv, Yael, Goldberger, Jacob, Riklin Raviv, Tammy

“…[Display omitted] •WtoNP – a general stochastic approach for neural network pruning.•WtoNP demonstrates a high ratio of neuron and filter pruning in addition…”
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Combining white matter diffusion and geometry for tract-specific alignment and variability analysis by Benou, Itay, Veksler, Ronel, Friedman, Alon, Raviv, Tammy Riklin

“…We present a framework for along-tract analysis of white matter (WM) fiber bundles based on diffusion tensor imaging (DTI) and tractography. We introduce the…”
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A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos by Arbelle, Assaf, Reyes, Jose, Chen, Jia-Yun, Lahav, Galit, Riklin Raviv, Tammy

“…•We propose an unsupervised, automatic tracking and segmentation framework for high-throughput microscopy image sequences.•Cell segmentation and tracking are…”
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Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy by Gilad, Topaz, Reyes, Jose, Chen, Jia-Yun, Lahav, Galit, Riklin Raviv, Tammy

“…Abstract Motivation Cell microscopy datasets have great diversity due to variability in cell types, imaging techniques and protocols. Existing methods are…”
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Shape analysis, a field in need of careful validation by Gao, Yi, Riklin-Raviv, Tammy, Bouix, Sylvain

“…In the last two decades, the statistical analysis of shape has become an actively studied field and finds applications in a wide range of areas. In addition to…”
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Fine hippocampal morphology analysis with a multi-dataset cross-sectional study on 2911 subjects by Yang, Qinzhu, Chen, Guojing, Yang, Zhi, Raviv, Tammy Riklin, Gao, Yi

“…•We developed an automated and objective method to quantify hippocampal dentation.•The obtained SDN values help to quantify the morphological feature in…”
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A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment by Ben-Haim, Tal, Sofer, Ron Moshe, Ben-Arie, Gal, Shelef, Ilan, Raviv, Tammy Riklin

“…We present a novel deep learning approach to categorical segmentation of lung CTs of COVID-19 patients. Specifically, we partition the scans into healthy lung…”
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Fine scale hippocampus morphology variation cross 552 healthy subjects from age 20 to 80 by Yang, Qinzhu, Cai, Shuxiu, Chen, Guojing, Yu, Xiaxia, Cattell, Renee F., Raviv, Tammy Riklin, Huang, Chuan, Zhang, Nu, Gao, Yi

“…The cerebral cortex varies over the course of a person's life span: at birth, the surface is smooth, before becoming more bumpy (deeper sulci and thicker gyri)…”
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Miswiring of Frontostriatal Projections in Schizophrenia by Levitt, James J, Nestor, Paul G, Kubicki, Marek, Lyall, Amanda E, Zhang, Fan, Riklin-Raviv, Tammy, O′Donnell, Lauren J, McCarley, Robert W, Shenton, Martha E, Rathi, Yogesh

“…Abstract We investigated brain wiring in chronic schizophrenia and healthy controls in frontostriatal circuits using diffusion magnetic resonance imaging…”
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Probabilistic model for 3D interactive segmentation by Hershkovich, Tsachi, Shalmon, Tamar, Shitrit, Ohad, Halay, Nir, Menze, Bjoern H., Dolgopyat, Irit, Kahn, Itamar, Shelef, Ilan, Riklin Raviv, Tammy

“…•Interactive 3D medical image segmentation based on a Bayesian inference is suggested.•User-machine “dialogue” is allowed by a few mouse clicks in regions of…”
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Generating Artistic Images Via Few-Shot Style Transfer by Buchnik, Itay, Berebi, Or, Raviv, Tammy Riklin, Shlezinger, Nir

“…Generating images from a predefined style with heterogeneous and limited data is a challenging task for generative models. This work focuses on the conditional…”
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Microscopy Cell Segmentation Via Convolutional LSTM Networks by Arbelle, Assaf, Raviv, Tammy Riklin

“…Live cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a challenging task. Considering…”
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Microscopy cell segmentation via adversarial neural networks by Arbelle, Assaf, Raviv, Tammy Riklin

“…We present a novel method for cell segmentation in microscopy images which is inspired by the Generative Adversarial Neural Network (GAN) approach. Our…”
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