Tammy Riklin-Raviv

25 papers A* 2B 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boundary-Aware Instance Segmentation in Microscopy Imaging.
CoRR
Thomas Mendelson, Joshua Francois, Galit Lahav, Tammy Riklin-Raviv
2025 — conf
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis.
MICCAI (5)
Doron Serebro, Tammy Riklin-Raviv
2025 J jnl
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis.
CoRR
Doron Serebro, Tammy Riklin-Raviv
2025 J jnl
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models.
CoRR
Itay Benou, Tammy Riklin-Raviv
2022 J jnl
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment.
CoRR
Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin-Raviv
2022 J jnl
Graph Neural Network for Cell Tracking in Microscopy Videos.
CoRR
Tal Ben-Haim, Tammy Riklin-Raviv
2020 J jnl
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics.
CoRR
Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
2019 J jnl
The Impact of an Inter-rater Bias on Neural Network Training.
CoRR
Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv
2018 J jnl
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography.
CoRR
Itay Benou, Tammy Riklin-Raviv
2018 — conf
Model-dependent uncertainty estimation of medical image segmentation.
ISBI
Tsachi Hershkovich, Tammy Riklin-Raviv
2017 J jnl
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences.
Medical Image Anal.
Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin-Raviv
2016 J jnl
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.
IEEE Trans. Medical Imaging
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
2010 — conf
Resolving clustered worms via probabilistic shape models.
ISBI
Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter
2010 J jnl
Segmentation of image ensembles via latent atlases.
Medical Image Anal.
Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
2009 J jnl
On Symmetry, Perspectivity, and Level-Set-Based Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
2008 B conf
Real-time abnormal motion detection in surveillance video.
ICPR
Nahum Kiryati, Tammy Riklin-Raviv, Yan Ivanchenko, Shay Rochel
2008 J jnl
Shape-Based Mutual Segmentation.
Int. J. Comput. Vis.
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
2007 J jnl
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion.
Int. J. Comput. Vis.
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
2007 — conf
Propagating Distributions for Segmentation of Brain Atlas.
ISBI
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati, Nir Ben-Zadok, Smadar Gefen, Louise Bertrand, Jonathan Nissanov
2006 — conf
Mutual Segmentation with Level Sets.
CVPR Workshops
Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati
2006 — conf
Segmentation by Level Sets and Symmetry.
CVPR (1)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
2005 A* conf
Prior-Based Segmentation by Projective Registration and Level Sets.
ICCV
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
2004 — conf
Unlevel-Sets: Geometry and Prior-Based Segmentation.
ECCV (4)
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
2001 J jnl
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations.
IEEE Trans. Pattern Anal. Mach. Intell.
Amnon Shashua, Tammy Riklin-Raviv
1999 A* conf
The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions.
CVPR
Tammy Riklin-Raviv, Amnon Shashua