Dr Johanna Uthoff

Department of Computer Science

Research Associate

J.Uthoff@sheffield.ac.uk

Full contact details

Dr Johanna Uthoff
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Publications

Journal articles

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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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. RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download