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M. Horry

6 papers hereh-index 8569 citations19 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedDebiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection

7 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2020

Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images

Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan +3

Lung cancer is the leading cause of cancer death and morbidity worldwide. Many studies have shown machine learning models to be effective at detecting lung nodules from chest X-ray…

eess.IV2020

MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features

Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5

The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…

eess.IV2020

Potential Features of ICU Admission in X-ray Images of COVID-19 Patients

Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5

X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…

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