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J. Cohen-Adad

34 papers hereh-index 6513.9k citations288 works total

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

author position
  • middle author13
  • last author16

Across the 29 of 34 papers where every author was matched, so the position is known.

fields
  • eess.IV16
  • cs.CV14
  • physics.med-ph3
  • q-bio.OT1
same name
  • J. Cohen-Adad — 2 papers, h 1

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
20172023
most citedAxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks

175 citations · 743 across the 29 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CV2019

Deep Semantic Segmentation of Natural and Medical Images: A Review

Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen +2

The semantic image segmentation task consists of classifying each pixel of an image into an instance, where each instance corresponds to a class. This task is a part of the concept…

eess.IV2019

U-Net Fixed-Point Quantization for Medical Image Segmentation

MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier +4

Model quantization is leveraged to reduce the memory consumption and the computation time of deep neural networks. This is achieved by representing weights and activations with a l…

cs.CV2019★ 17 cited

Deep Active Learning for Axon-Myelin Segmentation on Histology Data

Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau +1

Semantic segmentation is a crucial task in biomedical image processing, which recent breakthroughs in deep learning have allowed to improve. However, deep learning methods in gener…

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