Machine Learning with Low Dose CT Data
* Segment anatomy within the chest CT field of view
* Identify potentially cancerous lung nodules
* Assess likelihood of cancer within specific nodules and a time point in a holistic manner.
* Perform image processing to improve inter-site consistency and enhance performance of the above objectives.
Fabien Maldonado, VUMC
Kim Lori Sandler, VUMC
Tom Lasko, VUMC
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Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.
Krishnan AR, Xu K, Li TZ, Remedios LW, Sandler KL, Maldonado F, Landman BA
Med Phys. 2024 Mar 26 PUBMED -
Age-related Muscle Fat Infiltration in Lung Screening Participants: Impact of Smoking Cessation.
Xu K, Li TZ, Terry JG, Krishnan AR, Deppen SA, Huo Y, Maldonado F, Carr JJ, Landman BA, Sandler KL
medRxiv. 2023 Dec 5 PUBMED -
AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection.
Xu K, Khan MS, Li TZ, Gao R, Terry JG, Huo Y, Lasko TA, Carr JJ, Maldonado F, Landman BA, Sandler KL
Radiology. 2023 Jul; Volume 308 (Issue 1): Pages e222937 PUBMED -
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation.
Li TZ, Hin Lee H, Xu K, Gao R, Dawant BM, Maldonado F, Sandler KL, Landman BA
J Med Imaging (Bellingham). 2023 Jul; Volume 10 (Issue 4): Pages 044002 PUBMED -
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
Gao R, Huo Y, Bao S, Tang Y, Antic SL, Epstein ES, Balar AB, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA
Mach Learn Med Imaging. 2019 Oct; Volume 11861: Pages 310-318 PUBMED