Tammy Riklin-Raviv

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 8

Top Topics

Probabilistic Model

Magnetic Resonance Angiography

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin-Raviv
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment. CoRR (2022)
Tal Ben-Haim, Tammy Riklin-Raviv
Graph Neural Network for Cell Tracking in Microscopy Videos. CoRR (2022)
Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. CoRR (2020)
Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv
The Impact of an Inter-rater Bias on Neural Network Training. CoRR (2019)
Itay Benou, Tammy Riklin-Raviv
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. CoRR (2018)
Tsachi Hershkovich, Tammy Riklin-Raviv
Model-dependent uncertainty estimation of medical image segmentation. ISBI (2018)
Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin-Raviv
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences. Medical Image Anal. 42 (2017)
Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35 (4) (2016)
Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
Segmentation of image ensembles via latent atlases. Medical Image Anal. 14 (5) (2010)
Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter
Resolving clustered worms via probabilistic shape models. ISBI (2010)
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
On Symmetry, Perspectivity, and Level-Set-Based Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31 (8) (2009)
Nahum Kiryati, Tammy Riklin-Raviv, Yan Ivanchenko, Shay Rochel
Real-time abnormal motion detection in surveillance video. ICPR (2008)
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
Shape-Based Mutual Segmentation. Int. J. Comput. Vis. 79 (3) (2008)
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati, Nir Ben-Zadok, Smadar Gefen, Louise Bertrand, Jonathan Nissanov
Propagating Distributions for Segmentation of Brain Atlas. ISBI (2007)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. Int. J. Comput. Vis. 72 (3) (2007)
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
Mutual Segmentation with Level Sets. CVPR Workshops (2006)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
Segmentation by Level Sets and Symmetry. CVPR (1) (2006)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
Prior-Based Segmentation by Projective Registration and Level Sets. ICCV (2005)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
Unlevel-Sets: Geometry and Prior-Based Segmentation. ECCV (4) (2004)
Amnon Shashua, Tammy Riklin-Raviv
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2) (2001)
Tammy Riklin-Raviv, Amnon Shashua
The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions. CVPR (1999)