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researcher

Matthew D. Li

2 papers hereh-index 181.8k citations51 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedTowards Trainable Saliency Maps in Medical Imaging

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

A generalized framework to predict continuous scores from medical ordinal labels

Katharina V. Hoebel, Andreanne Lemay, John Peter Campbell +7

Many variables of interest in clinical medicine, like disease severity, are recorded using discrete ordinal categories such as normal/mild/moderate/severe. These labels are used to…

cs.CV2020★ 3 cited

Towards Trainable Saliency Maps in Medical Imaging

Mehak Aggarwal, Nishanth Arun, Sharut Gupta +9

While success of Deep Learning (DL) in automated diagnosis can be transformative to the medicinal practice especially for people with little or no access to doctors, its widespread…

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