Dr Johanna Uthoff

Journal articles

• Dwivedi K, Sharkey M, Condliffe R, Uthoff JM, Alabed S, Metherall P, Lu H, Wild JM, Hoffman EA, Swift AJ & Kiely DG (2021) Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review.. Diagnostics (Basel), 11(4).
• Swift AJ, Lu H, Uthoff J, Garg P, Cogliano M, Taylor J, Metherall P, Zhou S, Johns CS, Alabed S , Condliffe RA et al (2020) A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging. View this article in WRRO
• Uthoff J, Koehn N, Larson J, Dilger SKN, Hammond E, Schwartz A, Mullan B, Sanchez R, Hoffman RM & Sieren JC (2019) Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?. European Radiology, 29(10), 5367-5377.
• Uthoff J, De Stefano FA, Panzer K, Darbro BW, Sato TS, Khanna R, Quelle DE, Meyerholz DK, Weimer J & Sieren JC (2019) Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors. Journal of Neuroradiology, 46(3), 179-185.
• White KA, Swier VJ, Cain JT, Kohlmeyer JL, Meyerholz DK, Tanas MR, Uthoff J, Hammond E, Li H, Rohret FA , Goeken A et al (2018) A porcine model of neurofibromatosis type 1 that mimics the human disease. JCI Insight, 3(12).
• (2016) Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography, 2(4), 430-437.
• Dilger SKN, Uthoff J, Judisch A, Hammond E, Mott SL, Smith BJ, Newell JD, Hoffman EA & Sieren JC (2015) Improved pulmonary nodule classification utilizing quantitative lung parenchyma features. Journal of Medical Imaging, 2(4), 041004-041004.

Conference proceedings papers

• Uthoff JM, Sanchez R, Hoffman RM & Sieren JC (2019) How You Slice It Matters: Calibrating Lung Cancer Risk Models for Better Decision Making After Pulmonary Nodule Detection. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 199
• Uthoff JM, Bell S, Smith B & Sieren JC (2019) Clustering the Risk: Quantitative Imaging Features of Chronic Obstructive Pulmonary Disease Associated with Lung Cancer. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 199
• Uthoff J & Sieren JC (2018) Information theory optimization based feature selection in breast mammography lesion classification. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 4 April 2018 - 7 April 2018.
• Uthoff JM, Larson JS, De Stefano FA & Sieren JC (2018) Lung Nodule Risk Assessment Achievable Using Imaging Biomarkers from Tumor and Surrounding Structures. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 197
• Uthoff JM, Dilger SKN & Sieren JC (2017) Imaging Feature Reduction And Optimization: Refinement Of A Lung Nodule Computer Aided Diagnosis Tool. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 195
• Dilger SK, Judisch A, Uthoff J, Hammond E, Newell JD & Sieren JC (2015) Improved pulmonary nodule classification utilizing lung parenchyma texture features. Medical Imaging 2015: Computer-Aided Diagnosis
• Uthoff J, Alabed S, Swift A & Lu H () Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis using the Heart and Surrounding Tissues. Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention View this article in WRRO