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

7 citations · 7 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2022

2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips

Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +2

The ever-growing volume of satellite imagery data presents a challenge for industry and governments making data-driven decisions based on the timely analysis of very large data set…

cs.CV20227 cited

Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection

Michael Horry, Subrata Chakraborty, Biswajeet Pradhan +5

Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer…

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…