Tammy Riklin Raviv

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Nir SochenProfessor of Applied Mathematics, Tel-Aviv University, IsraelVerified email at post.tau.ac.il
Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemVerified email at cs.huji.ac.il
Ilan Shelefsenior lecturer Ben Gurion UniversityVerified email at bgu.ac.il
Koen Van LeemputAalto University & Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MITVerified email at broadinstitute.org
Ronel VekslerBen Gurion university of the NegevVerified email at post.bgu.ac.il
Bjoern H MenzeUniversität ZürichVerified email at uzh.ch
Vebjorn LjosaComputational biologist, Broad Institute of MIT and HarvardVerified email at broad.mit.edu
Annie ConeryMassachusetts General HospitalVerified email at molbio.mgh.harvard.edu
Yi GaoProfessor of Biomedical Engineering, Shenzhen UniversityVerified email at gatech.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Verified email at bwh.harvard.edu
Ariel BenouML researcher @ MobileyeVerified email at post.bgu.ac.il
Georg LangsMedical University of Vienna, CIR LabVerified email at meduniwien.ac.at
James J LevittVA Boston Healthcare System, Harvard Medical School; Psychiatry Neuroimaging Laboratory, DepartmentVerified email at hms.harvard.edu
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'AzurVerified email at inria.fr
Javier E. Irazoqui PhDAssociate Professor of Microbiology and Physiological Systems, UMass Medical SchoolVerified email at umassmed.edu
orane visvikisC3M - INSERM U1065 - Nice, FranceVerified email at unice.fr
Eyleen J. O'RourkeDepartment of Biology and Cell Biology - University of VirginiaVerified email at virginia.edu
Gary RuvkunProfessor of Genetics, Harvard Medical SchoolVerified email at molbio.mgh.harvard.edu
Sylvain BouixFull Professor, Ecole de Technologie SuperieureVerified email at etsmtl.ca

Tammy Riklin Raviv

Ben-Gurion University, Electrical and Computer Engineering

Verified email at ee.bgu.ac.il - Homepage

Medical Image Analysis - Medical Image Computing Computer Vision


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The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014	6052	2014
The quotient image: Class-based re-rendering and recognition with varying illuminations A Shashua, T Riklin-Raviv Pattern Analysis and Machine Intelligence, IEEE Transactions on 23 (2), 129-139, 2001	896	2001
An image analysis toolbox for high-throughput C. elegans assays C Wählby, L Kamentsky, ZH Liu, T Riklin-Raviv, AL Conery, EJ O'Rourke, ... Nature Methods 9 (7), 714-716, 2012	203	2012
Apparatus and methods for the detection of abnormal motion in a video stream N Kiryati, T Riklin-Raviv, Y Ivanchenko, S Rochel, I Dvir, D Harari US Patent 8,724,891, 2014	134	2014
Microscopy cell segmentation via convolutional LSTM networks A Arbelle, TR Raviv 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019	105	2019
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences A Benou, R Veksler, A Friedman, TR Raviv Medical image analysis 42, 145-159, 2017	104	2017
Real-time abnormal motion detection in surveillance video N Kiryati, TR Raviv, Y Ivanchenko, S Rochel 2008 19th International Conference on Pattern Recognition, 1-4, 2008	98	2008
The quotient image: class based recognition and synthesis under varying illumination conditions T Riklin-Raviv, A Shashua Computer Vision and Pattern Recognition, 1999. IEEE Computer Society …, 1999	94	1999
Segmentation of image ensembles via latent atlases T Riklin-Raviv, K Van Leemput, BH Menze, WM Wells, P Golland Medical image analysis 14 (5), 654-665, 2010	93	2010
A generative probabilistic model and discriminative extensions for brain lesion segmentation—with application to tumor and stroke BH Menze, K Van Leemput, D Lashkari, T Riklin-Raviv, E Geremia, ... IEEE transactions on medical imaging 35 (4), 933-946, 2015	92	2015
Subsampled brain MRI reconstruction by generative adversarial neural networks R Shaul, I David, O Shitrit, TR Raviv Medical Image Analysis 65, 101747, 2020	88	2020
From a deep learning model back to the brain—Identifying regional predictors and their relation to aging G Levakov, G Rosenthal, I Shelef, TR Raviv, G Avidan Human brain mapping 41 (12), 3235-3252, 2020	87	2020
Unlevel-sets: geometry and prior-based segmentation T Riklin-Raviv, N Kiryati, N Sochen Computer Vision-ECCV 2004, 50-61, 2004	85	2004
The cell tracking challenge: 10 years of objective benchmarking M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ... Nature Methods 20 (7), 1010-1020, 2023	82	2023
Microscopy cell segmentation via adversarial neural networks A Arbelle, TR Raviv 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018	66	2018
Prior-based segmentation and shape registration in the presence of perspective distortion T Riklin-Raviv, N Kiryati, N Sochen International Journal of Computer Vision 72 (3), 309-328, 2007	61	2007
Accelerated magnetic resonance imaging by adversarial neural network O Shitrit, T Riklin Raviv Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017	58	2017
Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players R Veksler, U Vazana, Y Serlin, O Prager, J Ofer, N Shemen, AM Fisher, ... Brain 143 (6), 1826-1842, 2020	53	2020
A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation E Dittrich, TR Raviv, G Kasprian, R Donner, PC Brugger, D Prayer, ... Medical image analysis 18 (1), 9-21, 2014	53	2014
Segmentation by level sets and symmetry T Riklin-Raviv, N Kiryati, N Sochen 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	48	2006

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