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Behrouz Rostami

3 papers here

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

author position
  • first author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedMulticlass Burn Wound Image Classification Using Deep Convolutional Neural Networks

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

collaborators

3 papers

cs.CV2021★ 1 cited

Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks

Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan +1

Millions of people are affected by acute and chronic wounds yearly across the world. Continuous wound monitoring is important for wound specialists to allow more accurate diagnosis…

cs.CV2020

Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier

Behrouz Rostami, D. M. Anisuzzaman, Chuanbo Wang +3

Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually. Wound classification is a key step in wound diagnosis that…

eess.IV2020

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

Chuanbo Wang, DM Anisuzzaman, Victor Williamson +5

Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion…

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