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researcher

M. Mamdani

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedChallenges for Reinforcement Learning in Healthcare

4 citations · 4 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 4 cited

Challenges for Reinforcement Learning in Healthcare

Elsa Riachi, Muhammad Mamdani, Michael Fralick +1

Many healthcare decisions involve navigating through a multitude of treatment options in a sequential and iterative manner to find an optimal treatment pathway with the goal of an…

eess.IV2021

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT

Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky +7

Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medical imaging examinations, thes…

eess.IV2020

Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging

Hojjat Salehinejad, Edward Ho, Hui-Ming Lin +10

Fractures of the cervical spine are a medical emergency and may lead to permanent paralysis and even death. Accurate diagnosis in patients with suspected fractures by computed tomo…

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