Ravin N, Saha S, Schweitzer A, Elahi A, Dako F, Mollura D, Chapman D. Mitigating domain shift in AI-based TB screening with unsupervised domain adaptation , IEEE Access, 10: 2022,45997 - 46013

Anazodo UC, Adewole M, Dako F. AI for Population and Global Health in Radiology. , Radiology Artificial Intelligence, 4(4): 2022,e220107

Barta JA, Erkmen CP, Myers RE, Shusted CS, Cohen S, Saia C, Wainwright J, Dako F, Wender R, Kane GC, Vachani A, Rendle KA. The Philadelphia Lung Cancer Learning Community: A City-Wide Approach to Characterizing and Improving Lung Cancer Screening , American Thoracic Society: 2022

Miranda-Schaeubinger M, Noor A, Otero H, Leitão C. A, Dako F. Radiology for Thoracic Conditions in Low- and Middle-Income Countries , Thoracic Surgery Clinics, 32(2): 2022,289-298

Dako F, Noor A, Goity L, Scanlon M. Training Radiologists for Global Service. , Applied Radiology, 51(1): 2022,34-36

Kastner J, Hossain R, Jeudy J, Dako F, Mehta V, Dalal S, Dharaiya E, White C. Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial , Radiology, 300(1): 2021,199-206

Dako F, Awan OA. The Radiology Readout: How Much Does It Matter? , Radiographics, 41(1): 2021,316-317

Erkmen CP, Dako F, Moore R, Dass C, Weiner MG, Kaiser LR, Ma GX. Adherence to annual lung cancer screening with low-dose CT scan in a diverse population , Cancer Causes Control, 32(3): 2021,291-298

Mollura DJ, Culp MP, Pollack E, Battino G, Scheel JR, Mango VL, Elahi A, Schweitzer A, Dako F. Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology , Radiology, 297(3): 2020,513-520

Dako F, Erkmen C, Cohen G, Belden C. The Long Arms of Radiology: Emergence of Radiologists as Public Health Practitioners , J Am Coll Radiol, 14(2): 2017,185-187