Predicting pulmonary fibrosis risk in post-COVID patients using deep learning and radiomics on CT

Wanying Dou, Andrea Bejar, Halil Ertugrul Aktas, Gorkem Durak, Elif Keles, Drew Torigian, Jayaram Udupa, Ulas Bagci

ARRS 20262026

Cite this work

Wanying Dou, Andrea Bejar, Halil Ertugrul Aktas, Gorkem Durak, Elif Keles, Drew Torigian, Jayaram Udupa, Ulas Bagci (2026). Predicting pulmonary fibrosis risk in post-COVID patients using deep learning and radiomics on CT. ARRS 2026

BibTeX

Cite this work

Related publications

Handling supervision scarcity in chest x-ray classification: long-tailed and zero-shot learning

Deep learning for pulmonary embolism prognosis from CT imaging: a multicenter evaluation

REN: anatomically-informed mixture-of-experts for interstitial lung disease diagnosis

Radiomic features detect interstitial lung disease in patients with systemic sclerosis

Vision transformer for efficient chest x-ray and gastrointestinal image classification