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M. Benjelloun

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedDeep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

15 citations · 15 across the 1 of their papers we have counts for

collaborators

2 papers

q-bio.QM2020★ 15 cited

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi +10

Predicting response to neoadjuvant therapy is a vexing challenge in breast cancer. In this study, we evaluate the ability of deep learning to predict response to HER2-targeted neo-…

cs.CV2018

3D shape retrieval basing on representatives of classes

M. Benjelloun, E. W. Dadi, E. M. Daoudi

In this paper, we present an improvement of our proposed technique for 3D shape retrieval in classified databases [2] which is based on representatives of classes. Instead of syste…

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