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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: image processing
BReP-SNAP-I-12Cone-Beam CT Image Reconstruction with Spherical Harmonics
T Shimomura*, A Haga, Tokushima UniversityTokushimaJP
BReP-SNAP-I-13Dedicated Breast CT: Comparative Evaluation of Multi-Scale Residual Dense Network and Residual Encoder-Decoder Network for Deep Learning-Driven Sparse-View Reconstruction
Z Fu, H Tseng, S Vedantham*, A Karellas, A Bilgin, University of Arizona, Tucson, AZ
BReP-SNAP-M-24Automatic Target Segmentation and Uncertainty Prediction for Post-Prostatectomy Radiotherapy Planning Using Bayesian U-Net
X Xu*, C Lian, A Wang, T Royce, R Chen, J Lian, D Shen, University of North Carolina at Chapel Hill, Chapel Hill, NC
BReP-SNAP-M-53Deep Neural Network-Based Prediction of Dual-Energy Subtraction Images From Single-Energy X-Ray Fluoroscopy: A Feasibility Study
J Wang1*, K Ichiji1, N Homma1, X Zhang2, Y Takai3, (1) Tohoku University, Sendai, JP, (2) National Institute of Technology, Sendai College, Sendai, JP, (3) Southern Tohoku BNCT Research Center, Koriyama, JP
BReP-SNAP-M-84Image Processing System by Super-Resolution Using Deep Learning Leading to Exposure Dose Reduction
H Miyauchi1,2*, Y Tanaka1, K Takahashi1, M Nakano2, T Hasegawa3, M Hashimoto3, (1) Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, JP, (2) Cancer Institute Hospital of JFCR, Koto-ku, Tokyo, JP, (3) Faculty of Allied Health Sciences, Kitasato university, Sagamihara, Kanagawa, JP
BReP-SNAP-M-95Inter-Vendor Compatibility and Transfer Learning for MR-Based Synthetic CT Deep Learning Models for Domain Adaptation
P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY
BReP-SNAP-T-20Acceleration of Monte Carlo Radiation Dose Simulations Using Deep Learning: Proof of Principles for CT and Radiotherapy Dosimetry
Z Peng1*, H Shan2, T Liu3, X Pei4, Z Jieping5, G Wang6, X Xu7, (1) University of Science and Technology of China, Hefei, (2) Rensselaer Polytechnic Institute, Troy, NY, (3) Massachusetts General Hospital, Boston, Ma, (4) University of Science and Technology of China, Hefei, (5) The First Affiliated Hospital, University of Science and Technology of China, Hefei, (6) Rensselaer Polytechnic Institute, Troy, NY, (7) Rensselaer Polytechnic Institute, Troy, NY
MO-CD-TRACK 1-5RmU-Net: A Generalizable Deep Learning Approach for Automatic Prostate Segmentation in 3D Ultrasound Images
N Orlando1,2*, D Gillies1,2, I Gyackov2, C Romagnoli3,5, D D'Souza4,5, A Fenster1-4, (1) Department of Medical Biophysics, Western University, London, ON, CA, (2) Robarts Research Institute, Western University, London, ON, CA, (3) Department of Medical Imaging, Western University, London, ON, CA, (4) Department of Oncology, Western University, London, ON, CA, (5) London Health Sciences Centre, London, ON, CA
PO-GeP-I-69CT-Derived Pulmonary Perfusion
E Castillo1*, R Castillo2, Y Vinogradskiy3, G Nair1, I Grills1, T Guerrero1, C Stevens1, (1) William Beaumont Hospital, Royal Oak, MI, (2) Emory Univ, Atlanta, GA, (3) University of Colorado Denver, Aurora, CO
PO-GeP-I-122Feasibility of Anatomy-Specific Exposure Index in Clinical Digital Radiography Images
Z Long*, L Littrell, B Schueler, Mayo Clinic, Rochester, MN
PO-GeP-I-224Usefulness of Novel Temporal Subtraction Technique with Small Region of Interest for Finding Suspicious Lung Nodule On Digital Chest Radiographs
M Ozaki1*, J Morishita2, Y Shimizu3, Y Sasaki4,Y Yamashita1, Y Yoon2,H Yabuuchi2(1)Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, (2) Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan, (3) Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan,(4)Department of Radiology, Iwate Prefectural Central Hospital, Morioka, Japan
PO-GeP-I-231Validation of Robust CT-Ventilation Methods
E Castillo1*, R Castillo2, Y Vinogradskiy3, G Nair1, I Grills1, T Guerrero1, C Stevens1, (1) Beaumont Health System, Royal Oak, MI, (2) Emory Univ, Atlanta, GA, (3) University of Colorado Denver, Aurora, CO
PO-GeP-M-137Deep Learning Segmentation of Cardiac Substructures in Breast Cancer Radiotherapy Patients
X Jin*, J Hilliard, J Dise, J Kavanaugh, I Zoberi, M Thomas, C Robinson, G Hugo, Washington University School of Medicine, St. Louis, MO
PO-GeP-M-139Deep Proton DoseNet: A Deep Neural Network for Proton Dose Distribution Image Super-Resolution
Y Nomura1*, T Matsuura1, H Shirato1, S Shimizu1, L Xing1,2, (1) Hokkaido University, Sapporo, Hokkaido, Japan, (2) Stanford University, Palo Alto, CA
PO-GeP-M-212Evaluation of the Direct Density Algorithm for Energy-Independent Radiotherapy Planning
A Shutler1*, A Sarkar1, G Grousset2, J Shah2, F Mourtada1, (1) Christiana Care Health System, Newark, DE, (2) Siemens Healthineers USA, Malvern, PA
PO-GeP-M-263Interactive Contouring Through Contextual Deep Learning
M Trimpl1,2,3*, D Boukerroui1, E Stride2, K Vallis3, M Gooding1, (1) Mirada Medical Ltd, New Barclay House, 234 Botley Rd, Oxford OX2 0HP, GB (2) Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Old Road Campus OX37DQ, GB (3) Oxford Institute for Radiation Oncology, University of Oxford, Old Road Campus OX37DQ, GB
PO-GeP-M-390Synthetic Contrast Enhancement of Cone Beam Computed Tomography (CBCT) for Adaptive Radiotherapy
O Dona*, Y Wang, D Horowitz, A Xu, J Rickman, C Wuu, Columbia Univ, New York, NY
PO-GeP-M-432Weakly-Supervised Deep Learning Based Automatic Image Segmentation Via Deformable Image Registration
W Chi123*, W Lu1, L Ma1, J Wu1, H Chen4,, M Tan23, X Gu1, (1) UT Southwestern Medical Center, Dallas, TX, (2) South China University Of Technology, Guangzhou, China, (3) Guangzhou Laboratory, Guangzhou, China, (4) Sun Yat-sen University, Guangzhou, China
PO-GeP-M-435White Matter Fiber Tract Abnormalities by Voxel Wise Correlation Analysis in Neurodegenerative Disease
R Juh1*, J Han2, C Kim3, C Oh4, T Suh5, (1) Seoul National University Bundang Hospital, Gyeonggi-do, ,KR, (2) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (3) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (4) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (5) Catholic Univ Medical College, Seoul, ,KR
PO-GeP-M-436Why MAE Alone Is Not Enough for SCT Model Comparisons
P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY
PO-GeP-P-21Automated Quality Control for ACR Compliance
M Christensen*, Massachusetts General Hospital, Boston, MA 02114
SU-F-TRACK 2-5Progressively Grown GAN with Learned Fusion Operation for Hetero-Modal Synthesis of MRI Sequences
D Gourdeau1*, S Duchesne2, L Archambault3, (1) Universite Laval, Quebec, QC, CA, (2) Centre de recherche CERVO, Quebec, QC, CA (3) CHUQ Pavillon Hotel-Dieu de Quebec, Quebec, QC, CA
WE-B-TRACK 2-6Evaluation of An Image-Based Weighting Approach for Megavoltage Multilayer Imagers
I Valencia Lozano1*, M Shi2,1, M Myronakis1, P Baturin3, R Fueglistaller4, P Huber4, M Lehmann4, D Morf4, D Ferguson1, M Jacobson1, T Harris1, R Berbeco1, C Williams1, (1) Brigham and Womens Hospital & Dana Farber Cancer Institute, Boston, MA, USA (2) University of Massachusetts Lowell, Newton, MA, USA (3) Varian Medical Systems, Palo Alto, CA, USA (4) Varian Medical Systems, Baden, Switzerland
WE-F-TRACK 1-4Deep-Learning for Differentiation of Benign From Malignant Parotid Lesions On MR Image
B Feng1,2*, X Xia3, L Xu4, C Hu1,2, J Wang1,2, Z Zhang1,2, W Hu1,2, (1) Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, CN (2) Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, CN (3) Department of Radiology, Municipal Hospital Affiliated to Medical School of Taizhou University, Taizhou, CN (4) Department of Radiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, CN