MENU

Click here to

×

Are you sure ?

Yes, do it No, cancel

DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: texture analysis
BReP-SNAP-I-58Variations in Radiomics Features of a Multi-Texture Phantom Introduced by Deep Learning Iterative Reconstruction Algorithms
N Baughan*, J P Cruz-Bastida, H Al-Hallaq, I Reiser, The University of Chicago, Chicago, IL
BReP-SNAP-M-39Combining Radiomics and Convolutional Neural Network to Predict Tumor Growth of Vestibular Schwannoma
K Wang*, L Chen, N George-jones, J Hunter, J Wang, UT Southwestern Medical Center, Dallas, TX
BReP-SNAP-M-109On 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-45CBCT-Based Radiomics of Prostate Cancer for Predicting Patient Outcome to Radiotherapy
R Delgadillo*, B Spieler, J Ford, D Kwon, F Yang, M Studenski, K Padgett, M Abramowitz, R Stoyanova, A Pollack, N Dogan, University of Miami, Miami, FL
PO-GeP-I-137Impact of Quantization Parameters On Radiomics Feature Variation in Low Field Strength Magnetic Resonance Images
G Simpson1*, J Ford2, F Yang2, N Dogan2, (1) University of Miami, Coral Gables, FL,(2) University of Miami Miller School of Medicine, Miami, FL
PO-GeP-I-147Machine Learning Based On CT Radiomic Features Can Predict Residual Tumor From Radiation Changes in Head and Neck Cancer Patients Treated with Definitive Chemoradiotherapy
E Florez*, T Thomas, C M. Howard, H Khosravi, J Storrs, S Lirette, A Fatemi, University of Mississippi Medical Center, Jackson, MS
PO-GeP-M-180Effect of Using Harmonized Radiomic Features On Predicting Volume of Radiographic Changes Following Stereotactic Body Radiotherapy in Lung
R N Mahon1*, M Ghita1, G D Hugo2, N Kalman3, N Mukhopadhyay1, E Weiss1, (1) Virginia Commonwealth University, Richmond, VA, (2) Washington University School of Medicine, St. Louis, MO, (3) Miami Cancer Institute, Miami, FL.
PO-GeP-M-235Head Neck Cancer Locoregional Recurrence Prediction Using Delta-Radiomics Feature
K Wang1*, Z Zhou2, L Chen3, R Wang4, D Sher5, J Wang6, (1) UT Southwestern Medical Center, Dallas, TX, (2) University Of Central Missouri, Warrensburg, MO, (3) UT Southwestern Medical Center, Dallas, TX, (4) UT Southwestern Medical Center, Dallas, TX, (5) UT Southwestern Medical Center, Dallas, TX, (6) UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-334Prediction 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-371ROdiomX: 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
SU-D-TRACK 1-5Development of Realistic Multi-Contrast Textured XCAT (MT-XCAT) Phantoms Using a Dual-Discriminator Conditional-Generative Adversarial Network (D-CGAN)
Y Chang1*, K Lafata2, P Segars3, F Yin4, L Ren5, (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke Univ, Durham, NC, (4) Duke University, Durham, NC, (5) Duke University Medical Center, Cary, NC
TU-C-TRACK 1-74D Radiomics: Impact of 4D Image Quality On Radiomic Analysis
Z Zhang*, M Huang, Z Jiang, Y Chang, J Torok, F Yin, L Ren, Duke University Medical Center, Cary, NC
TU-CD-TRACK 2-3Radiomic Prediction of Radiation Pneumonitis On Pretreatment Planning CT Images of Lung Cancer Patients Receiving Stereotactic Body Radiation Therapy
T Hirose1*, H Arimura2, K Ninomiya2, T Yoshitake2, J Fukunaga1, Y Shioyama2, (1)Kyushu University Hospital, Fukuoka, FukuokaJP,(2)Kyushu University, Fukuoka, FukuokaJP,
WE-E-TRACK 2-4Classification of LGG Tumor IDH1 Gene Mutation Status Using T2/FLAIR MRI Texture Information
M Safari1, 2*, L Archambault1, 2, A Ameri3, A Fatemi4, M Beigi5, (1) Department of Physics, Universite Laval, Quebec, QC, CA, (2) CHU de Quebec - Universite Laval, Quebec, QC, CA, (3) Department Of Clinical Oncology, Shahidbeheshti University, (4) University of Mississippi Med. Center, Jackson, MS, (5) Novin Medical Radiation Institute, Haft Tir Martyrs Hospital, Tehran, Iran.