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Tammy Riklin-Raviv

8 papers hereh-index 258.6k citations67 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV3
same name
  • Tammy Riklin-Raviv — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedDeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography

30 citations · 57 across the 7 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2020★ 1 cited

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics

Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv

The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their analysis. While the ability of L1​ and L0​…

eess.IV2020★ 16 cited

DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv

We present the DeepHist - a novel Deep Learning framework for augmenting a network by histogram layers and demonstrate its strength by addressing image-to-image translation problem…

eess.IV2019★ 9 cited

The Worrisome Impact of an Inter-rater Bias on Neural Network Training

Or Shwartzman, Harel Gazit, Ilan Shelef +1

The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of data-driven approaches such as Deep Neural Networks…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.