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IM | IM/TH | TH | show all

Taxonomy: IM/TH- Image Analysis (Single modality or Multi-modality): Computer-aided decision support systems (detection, diagnosis, risk prediction, staging, treatment response assessment/monitoring, prognosis prediction)

MO-E115-GePD-F6-6	A Method to Assess Spatial Tumor Response Based On Texture Analysis of Daily CTs Acquired During Radiation Therapy D Schott1*, W Hall1 , T Schmidt2 , G Noid1 , P Knechtges1 , B Erickson1 , X Li1 , (1) Medical College of Wisconsin, Milwaukee, WI, (2) Marquette University, Milwaukee, WI
SU-E-KDBRC-3	An Automation Framework for Real-Time Prospective Radiomics with Deformable Image Registration T Patel*, P Lang , D Moseley , A Hope , D Jaffray , N Becker , T Tadic , Princess Margaret Cancer Centre, University Health Network, Toronto, ON
SU-F-KDBRC-5	A Bayesian Network Model of Lymphatic Tumor Progression for Personalized Elective CTV Definition B Pouymayou*, O Riesterer , M Guckenberger , J Unkelbach , University Hospital Zurich, Zurich, Zurich
SU-H330-GePD-F8-3	Quantitative Regression Model of CBCT Gamma Index and Its Clinical Application On Pre-Treatment Patient Setup Evaluation T Chen*, D Barbee , I Das , NYU Langone Medical Center, New York, NY
SU-H430-GePD-F8-1	Classification of Hepatic Tumor Images Using Persistent Homology J Kotoku1*, A Oyama1 , Y Hiraoka2 , I Obayashi2 , K Shiraishi1 , A Haga3 ,H Kondo1 , Y Saikawa1 , T Kobayashi1 , S Furui1 , (1) Teikyo University, Tokyo, Japan,(2) Tohoku University, Aoba-ku, Sendai,Japan (3)Tokushima University, Tokushima, Japan
SU-I-GPD-J-23	Dosimetric Analysis On the Influence of Gas in the Digestive Tract On Different Types of Radiotherapy for Pancreas Cancer T Chen*, A Mccarthy , I Das , NYU Langone Medical Center, New York, NY
SU-I-GPD-J-56	A Radiomic Assessment of the Progression of Acoustic Neuroma After Gamma Knife Stereotactic Radiosurgery G Narayanasamy1*, G Zhang2 , E Siegel3 , G Campbell 4 , E Moros2 , E Galhardo1 , X Zhang1 , S Morrill1 , J Penagaricano1 , (1) Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, (2) H. Lee Moffitt Cancer Center, Tampa, FL, (3) Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, (4) College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR
SU-I-GPD-J-71	Prediction of Local Persistence/Recurrence After Radiation Therapy Treatment of Head and Neck Cancer From PET/CT Using a Multi-Objective Radiomics Model Q Zhang*, Z Zhou , G Qin , P Li , J Shah , N Pham , S Gottumukkala , Z Moore , D Sher , J Wang , S Jiang , UT Southwestern Medical Center, Dallas, TX
TH-AB-DBRB-7	Investigating the Complementarity of Radiomics and Clinical Information for Predicting Treatment Failure in Multiple Cancer Types M Vallieres1*, A Chatterjee2 , F Lucia3 , V Bourbonne3 , P Bonaffini4 , I Masson5 , A Mervoyer5 , C Reinhold4 , D Visvikis1 , U Schick3 , J Seuntjens2 , O Morin6 , M Hatt1 (1) Laboratoire de Traitement de l'Information Medicale (LaTIM, INSERM UMR 1101), Brest, France; (2) Medical Physics Unit, McGill University, Montreal, Quebec, Canada; (3) Radiation Oncology Department, CHRU Morvan Brest, Brest, France; (4) Radiology Department, McGill University Health Centre, Montreal, Quebec, Canada; (5) Radiation Oncology Department, Institut de Cancerologie de l'Ouest, Nantes, France; (6) Department of Radiation Oncology, Division of Physics, University of California San Francisco, San Francisco, CA, USA
TH-AB-KDBRB1-6	Lung Nodule Malignancy Prediction by Combining Handcrafted Features and Deep Convolutional Neural Network S Li1*, L Chen2 ,Z Zhou2 ,H Hao3 , Y Duan1, B Li1, M Folkert2 , S Jiang2 , J Wang2 , (1) Southern Medical University, Guangzhou, Guangdong, China (2) UT Southwestern Medical Center, Dallas, Texas, USA (3) Xidian University, Xian, China
TU-C1030-GePD-F2-3	Developing and Validating An Automatic System of Tracking Parotid Shrinkage in Weekly MRIs for Adaptive Radiotherapy Y Hu*, S Fontenla , N Tyagi , J Mechalakos , P Zhang , C Polvorosa , N Allgood , G Mageras , M Hunt , Memorial Sloan-Kettering Cancer Center, New York, NY
WE-AB-202-7	Machine-Learning-Based Classification of Glioblastoma Using Dynamic Susceptibility Enhanced MR Image Derived Delta-Radiomic Features J Jeong*, L Wang , J Bing , Y Lei , T Liu , A Ali , W Curran , H Mao , X Yang , Emory University, Atlanta, GA
WE-AB-KDBRC-5	Multiparametric Regional Radiation Dose-Response of Normal Lung On Longitudinal MAA-SPECT/CT and FDG-PET/CT Imaging of FLARE-RT Protocol Patients H Thomas 1*, J Zeng1 , B Sasidharan2 , P Kinahan1 , R Miyaoka1 , H Vesselle1 , R Rengan1 , S Bowen1 , (1) University of Washington School of Medicine, Seattle, WA, (2) Christian Medical College Vellore, Vellore, Tamil Nadu, India