DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Taxonomy: IM- Dataset Analysis/Biomathematics: Machine learning
| MO-A-BRC-6 | Task-Based Sampling of the MIDRC Sequestered Data Commons for Algorithm Performance Evaluation N Baughan1*, H Whitney1,2, K Drukker1, B Sahiner3, T Hu3, G Kim4, M McNitt-Gray4, K Myers5, M Giger1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL, (3) US Food and Drug Administration, Silver Spring, MD, (4) UCLA, Los Angeles, CA, (5) US Food and Drug Administration, retired, Silver Spring, MD |
| MO-E115-IePD-F8-5 | Case-Based Repeatability of AI Classification On Multi-Modality Imaging of Breast Lesions Using DCE-MRI and FFDM H Whitney1,2*, K Drukker1, H Li1, A Edwards1, L Lan1, H Abe1, M Giger1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL |
| PO-GePV-M-30 | Scalable De-Identification Pipeline for Radiation Therapy Machine Learning Research D Moseley*, S Seetamsetty, E Tryggestad, S Shiraishi, Mayo Clinic, Rochester, MN |
| PO-GePV-M-33 | A Deep Learning Method Approach for Machine Modeling of Elekta Linear Accelerator From Limited Beam Data S Ahn1*, C Kim2,M Han2,S Han2,Y Lee2,H Kim2,C Hong2,J Kim2,J Kim2**, (1) Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea, (2) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea |
| PO-GePV-M-55 | Machine Learning-Generated Radiomic and Clinical Data for Lung Cancer Survival Prediction L Tu1,2*, HHF Choi2, H Clark1,3, S AM Lloyd1,2, (1) University of British Columbia, Vancouver, BC, CA, (2) BC Cancer Agency, Vancouver, BC, CA, (3) BC Cancer Agency, Surrey, BC, CA |
| PO-GePV-M-300 | A Quality Assurance Tests for 3D Printing Lab in Biomedical Physics Department E Elsaiedy , A Nobah, S Alhzani, B Moftah, E Elsaiedy *, KFSH&RC, Riyadh, 01SA, |
| PO-GePV-M-344 | Evaluation of Diversity in the Medical Imaging and Data Resource Center (MIDRC) Open Data Commons H Whitney1,2*, N Baughan1, K Drukker1, K Myers3, M Giger1, MIDRC Bias and Diversity Working Group1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL, (3) Food and Drug Administration, retired |
| PO-GePV-T-120 | A Radiomics-Based Light Gradient Boosting Machine to Predict Radiation-Induced Toxicities in Nasopharynx Cancer Patients Receiving Chemoradiotherapy Z Jiang1*, Y Liang2, X Wang3, Z Min4, M Feng5, Y Kuang6, (1) University of Nevada, Las Vegas, Las Vegas, NV, (2) Cancer Hospital Chinese Academy of Medical Sciences, Sichuan Center, Chengdu, CN, (3) Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, CN,(4) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(5) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(6) University of Nevada, Las Vegas, Las Vegas, NV |
| SU-F-201-1 | A Weakly-Supervised Approach for Automatic Selection of Uniform Regions in Clinical CT Images W Cao*, P Korfiatis, T Kline, M Callstrom, A Missert, Mayo Clinic, Rochester, MN |
| SU-H330-IePD-F9-4 | A Combined Radiomic and Clinical Model for the Differential Diagnosis of Pneumonitis in Patients with NSCLC (Non-Small Cell Lung Cancer) Patients Receiving Immunotherapy (IO Therapy) A Traverso1*, F Tohidinezhad1, D Bontempi1, A Dekker1, L Hendriks2, D De Ruysscher1, (1) MAASTRO Clinic, Maastricht, NL (2) Maastricht University Medical Centre, Maastricht, NL |
| SU-H430-IePD-F6-4 | The Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c: Developing Tools to Assist in Task-Specific Performance Evaluation for Machine Learning Algorithms Employing MIDRC Data K Drukker1, B Sahiner2, T Hu2, G Kim3, H Whitney1,4, N Baughan1, K Myers5, M Giger1, M McNitt-Gray3*, (1) University of Chicago, Chicago, IL, (2) US Food and Drug Administration, Silver Spring, MD, (3) David Geffen School of Medicine at UCLA, Los Angeles, CA, (4) Wheaton College, Wheaton, IL, (5) US Food and Drug Administration (retired),Phoenix, AZ |