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M. Horry

4 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2021

Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring

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

The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focusing on diagnosis and stratification of COVID-19 from medical…

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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