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Taxonomy: IM/TH- Informatics: Informatics in Imaging (general)
| BReP-SNAP-M-109 | On the Impact of Image Rotation On Quantitative Textural Features in Radiomics Analysis H Bagher-Ebadian1*, I Chetty1, (1) Henry Ford Health System, Detroit, MI |
| PO-GeP-I-125 | Good Methodological Practices in Radiomics: FAIR-Inspired Strategies for Managing and Preserving Costly Information G Couture*, D LeBlanc, L Archambault, P Despres, CHU de Quebec - Universite Laval, Quebec, QC, CA |
| PO-GeP-I-156 | Novel Radiotherapy Application of Eulerian Amplification for Predicting Skin Erythema R Culcasi*, M Snyder, William Beaumont Hospital, Royal Oak, MI |
| PO-GeP-M-163 | Domain Classification and Analysis of National Institutes of Health Funded Medical Physics Research M Scarpelli1*, B Whelan2, K Farahani3, (1) Barrow Neurological Institute, Phoenix, AZ, (2) Siemens Healthineers, Forcheim, BY, DE, (3) National Cancer Institute, Bethesda, MD |
| PO-GeP-M-334 | Prediction of Uterus Volume Shrinkage for Cervical Cancer Patients During Radiotherapy Using Machine-Learning Approach with Treatment Planning-CT Radiomic Features M Nakano1*, T Nakamoto2, Y Kumai1, Y Koizumi1, M Sumi1, K Nawa2, T Imae2, Y Yoshioka1, M Oguchi1, (1) Cancer Institute Hospital of JFCR, Koto-ku, Tokyo, JP, (2) The University of Tokyo Hospital, Bunkyo-ku, Tokyo, JP |
| PO-GeP-M-371 | ROdiomX: A New Validated Software for the Radiomics Analysis of Medical Images in Radiation Oncology H Bagher-Ebadian1*, M Lu1, F Siddiqui1, A Ghanem1, N Wen1, Q Wu1, B Movsas1, I Chetty1, (1) Henry Ford Health System, Detroit, MI |