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T. Ho

3 papers hereh-index 12399 citations17 works total

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
  • cs.CV3
same name
  • T. Ho — 31 papers, h 31
  • T. Ho — 13 papers, h 42
  • T. Ho — 10 papers, h 18
  • T. Ho — 6 papers, h 34
  • T. Ho — 4 papers, h 35
  • T. Ho — 3 papers, h 28

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

most citedMultimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

90 citations · 90 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 90 cited

Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3

The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliab…

cs.CV2019

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul +4

Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, deve…

cs.CV2019

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3

Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing. The current clinical standard for assessing neonatal pain is intermittent and…

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