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Tammy Riklin Raviv
Tammy Riklin Raviv
Ben-Gurion University, Electrical and Computer Engineering
Verified email at ee.bgu.ac.il - Homepage
Title
Cited by
Cited by
Year
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
40552014
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
8862001
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
1802012
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
1252014
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
912010
Segmentation of image ensembles via latent atlases
T Riklin-Raviv, K Van Leemput, BH Menze, WM Wells III, P Golland
Medical image analysis 14 (5), 654-665, 2010
912010
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
911999
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
872008
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
852015
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
832017
Unlevel-sets: geometry and prior-based segmentation
T Riklin-Raviv, N Kiryati, N Sochen
Computer Vision-ECCV 2004, 50-61, 2004
832004
Microscopy cell segmentation via convolutional LSTM networks
A Arbelle, TR Raviv
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
702019
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
582007
Microscopy cell segmentation via adversarial neural networks
A Arbelle, TR Raviv
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
542018
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
482014
Segmentation by level sets and symmetry
T Riklin-Raviv, N Kiryati, N Sochen
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
472006
Subsampled brain MRI reconstruction by generative adversarial neural networks
R Shaul, I David, O Shitrit, TR Raviv
Medical Image Analysis 65, 101747, 2020
452020
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
432020
Interactive level set segmentation for image-guided therapy
N Ben-Zadok, T Riklin-Raviv, N Kiryati
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
422009
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
402017
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