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researcher

M. Saltz

3 papers hereh-index 16683 citations56 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedIdentifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning

5 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 1 cited

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Saumya Gupta, Xiaoling Hu, James Kaan +10

Deep learning methods have achieved impressive performance for multi-class medical image segmentation. However, they are limited in their ability to encode topological interactions…

cs.LG2020★ 5 cited

Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning

Xinyu Dong, Jianyuan Deng, Sina Rashidian +6

The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Us…

cs.LG2018★ 4 cited

Disease phenotyping using deep learning: A diabetes case study

Sina Rashidian, Janos Hajagos, Richard Moffitt +9

Characterization of a patient clinical phenotype is central to biomedical informatics. ICD codes, assigned to inpatient encounters by coders, is important for population health and…

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