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 | 5739 | 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 | 892 | 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 | 200 | 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 |
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 | 100 | 2017 |
Microscopy cell segmentation via convolutional LSTM networks A Arbelle, TR Raviv 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 98 | 2019 |
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 | 97 | 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 | 93 | 1999 |
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 |
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 | 92 | 2010 |
Unlevel-sets: geometry and prior-based segmentation T Riklin-Raviv, N Kiryati, N Sochen Computer Vision-ECCV 2004, 50-61, 2004 | 85 | 2004 |
Subsampled brain MRI reconstruction by generative adversarial neural networks R Shaul, I David, O Shitrit, TR Raviv Medical Image Analysis 65, 101747, 2020 | 82 | 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 | 81 | 2020 |
Microscopy cell segmentation via adversarial neural networks A Arbelle, TR Raviv 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 64 | 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 |
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 | 57 | 2023 |
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 | 55 | 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 | 47 | 2006 |