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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: feature extraction
BReP-SNAP-M-7A Depthwise Separable Convolution Neural Network for Survival Prediction of Head & Neck Cancer
R Li1*, A Das2, N Bice1, P Rad2, A Roy2, N Kirby1, N Papanikolaou1, (1) University of Texas HSC SA, San Antonio, Texas, (2) The University of Texas at San Antonio
BReP-SNAP-M-19Association of Lung CT Voxel-Based Radiomics Feature Map with Galligas PET Lung Ventilation Imaging
Z Yang*, K Lafata, X Chen, Y Chang, F Yin, Duke University, Durham, NC
BReP-SNAP-M-37Combining Delta-Radiomics and Clinical Biomarkers Based On KNN-PCA Classification to Improve Treatment Outcome Prediction for Pancreatic Cancer
H Nasief1*, W Hall2, C Zheng3, S Tsai4, B Erickson5, X Li6, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Medical College of Wisconsin, Milwaukee, WI, (3) University of Wisconsin Milwaukee, Milwaukee, WI, (4) Medical College of Wisconsin, Milwaukee, WI, (5) Medical College of Wisconsin, Milwaukee, WI, (6) Medical College of Wisconsin, Milwaukee, WI
BReP-SNAP-M-45CT-Based Convolutional-Neural-Network Segmentation of HCC Regions with Lung-Cancer-Based Transfer Learning
N Nagami12*, H Arimura2, J Nojiri3, R Nakano2, K Ninomiya2, M Ogata1, S Takita1, S Kitamura1, H Irie3, (1) Saga university hospital, Saga-shi, Saga, JP, (2) Kyushu University, Fukuoka, Fukuoka, JP, (3) Saga University, Saga-shi, Saga, JP,
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
BReP-SNAP-M-115Prediction of Radiation Pneumonitis After Lung Stereotactic Body Radiation Therapy Using Dosiomics Features: A Retrospective Multi-Institutional Study
T Adachi1,2*, M Nakamura1,2, T Shintani2, T Mitsuyoshi2,3, R Kakino1,2, T Ogata3, H Tanabe3, T Ono2, H Hirashima2, T Sakamoto4, M Kokubo3, Y Matsuo2, T Mizowaki2, (1) Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan, (2) Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan, (3) Department of Radiation Oncology, Kobe City Medical Center General Hospital, Hyogo, Japan(4) Department of Radiation Oncology, Kyoto Katsura Hospital, Kyoto, Japan
BReP-SNAP-M-119Quantification of Lung Ventilation Using Voxel-Based Delta Radiomics Extracted From Thoracic 4DCT
X Chen1*, K Lafata2, Z Yang3, F Yin4, (1) ,Durham, NC, (2) Duke University, Durham, NC, (3) Duke University, Durham, NC, (4) Duke University, Durham, NC
MO-F-TRACK 2-3Intensity-Based Thresholding of Probability Maps in Deep-Learning-Based Segmentation
N Bice*, N Kirby, R Li, T Bahr, J Rembish, M Agarwal, S Stathakis, M Fakhreddine, UT Health San Antonio, San Antonio, TX
PO-GeP-I-127Gray Matter-Based Radiomics and Machine Learning for the Diagnosis of Attention-Ddeficit/Hyperactivity Disorder
S Zhao1*, Z Mu2, H Zhao3, J Qiu3, W Lu3, W Lu3, L Shi3, (1) Beijing Anding Hospital, Capital Medical University, Beijing, CN, (2) The Second Affiliated Hospital Of Shandong First Medical University, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-I-190Shape Analysis in PET Images Using Convolutional Neural Nets: Limitations of Standard Architectures
I Klyuzhin1,2*, A Rahmim1,2, (1) BC Cancer Research Centre, Vancouver, BC, CA, (2) University of British Columbia, Vancouver, BC, CA
PO-GeP-I-198Structural MRI-Based Radiomics and Machine Learning for the Classification of Attention-Deficit/Hyperactivity Disorder Subtypes
C Lin1, J Qiu2, K Hou3, W Lu3, W Lu3, X Liu3, J Qiu3, L Shi3*, (1) Taian Disabled Soldiers' Hospital Of Shandong Province, Taian, CN, (2) Taian Municipal Center For disease control and prevention, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-M-215Evaluation of the Stability of Radiomics Features Using 4D-CT and Across Radiomics Platforms for Lung and Liver Tumors
X Wang1*, C Ma1, H Wang2, Y Zhang1, N Yue1, K Nie1, (1) Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
PO-GeP-M-337Prognostic Prediction for Lung Stereotactic Body Radiotherapy Using Breath-Hold CT-Based Radiomic Features with Random Survival Forest: A Multi-Institutional Study
R Kakino1,2,3*, M Nakamura1,2, T Mitsuyoshi2,4, T Shintani2, M Kokubo4, Y Negoro5, M Fushiki6, M Ogura7, S Itasaka8, C Yamauchi9, S Otsu10, T Sakamoto11, M Sakamoto12, N Araki13, H Hirashima2, T Adachi1,2, Y Matsuo2, T Mizowaki2, (1) Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, (2) Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, (3) Research Fellow at Japan Society for the Promotion of Science, (4) Department of Radiation Oncology, Kobe City Medical Center General Hospital, (5) Department of Radiology, Tenri Hospital, (6) Department of Radiation Oncology, Nagahama City Hospital, Nagahama, (7) Department of Radiation Oncology, Kishiwada City Hospital, Kishiwada , (8) Department of Radiation Oncology, Kurashiki Central Hospital, (9) Department of Radiation Oncology, Shiga General Hospital, (10) Department of Radiation Oncology, Kyoto City Hospital, (11) Department of Radiation Oncology, Kyoto-Katsura Hospital, (12) Department of Radiology, Japanese Red Cross Fukui Hospital, (13) Department of Radiation Oncology, National Hospital Organization Kyoto Medical Center
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
PO-GeP-M-403To Distinguish Peripheral Lung Cancer and Pulmonary Inflammatory Pseudotumor Using CT-Radiomics Features Extracted From PET/CT Images
C Ma, Y Yin*, Shandong Cancer Hospital and Institute,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, ShandongCN,
TU-CD-TRACK 2-7Subregion-Based Radiomic Analysis of Preoperative Multi-Modal MR Images for Improving Glioblastoma Survival Outcome Prediction
J Fu1*, K Singhrao1, D Ruan1, X Qi1, J Lewis2, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Cedars-Sinai Medical Center, Beverly Hills, CA
WE-E-TRACK 2-6Deciphering Metabolic Features to Target Neuroblastoma Using Machine Learning
R Wang1,2,3*, Y Zhang1,4, P Pachnis4, H Vu4, K Wang1,3, R Deberardinis4, J Wang1,3, (1) Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX. (2) School of Artificial Intelligence, Xidian University, Xi'an, People's Republic of China. (3) Medical Artificial Intelligence and Automation (MAIA) Lab, University of Texas Southwestern Medical Center, Dallas, TX. (4) Children's Research Institute, University of Texas Southwestern Medical Center, Dallas, TX.