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Keywords: image analysis
| MO-B-TRACK 6-2 | Localized GBM Recurrence Prediction On Post-Operative Multi-Modal MRIs Through Stem Cell Niches Proximity Estimation Coupled SVM Y Lao1*, V Yu2, A Pham3, T Wang3, D Ruan1, E Chang3, K Sheng1, W Yang3, (1) UCLA School of Medicine, Los Angeles, CA, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) University of Southern California, Los Angeles, CA |
| MO-B-TRACK 6-3 | Predicting PD-L1 Expression Level in Non-Small Cell Lung Cancer On Computed tomography Using Machine Learning T Shiinoki*, K Fujimoto, Y Kawazoe, Y Yuasa, M Kajima, Y Manabe, T Hirano, K Matsunaga, H Tanaka, Yamaguchi University |
| MO-IePD-TRACK 4-2 | Graph Theory-Based Radiomics Features: Application of Tumor Network Structures On CT-Based Radiomics for Prognostic Prediction M Umeda*, N Kadoya, S Tanaka, S Tanabe, Y Sugai, T Ishida, H Ohashi, S Dobashi, K Takeda, K Jingu, Tohoku University, Sendai, JP |
| MO-IePD-TRACK 4-7 | Can Unified Data Improve the Performance of Radiomics-Based Prognostic Prediction in Lung Cancer Patients? Y Sugai*, N Kadoya, S Tanaka, S Tanabe, M Umeda, T Yamamoto, K Takeda, S Dobashi, H Ohashi, K Takeda, K Jingu, Tohoku University, Sendai, 04JP, |
| PO-GePV-E-13 | Incorporating Statistical Learning and Artificial Intelligence Education to Medical Physics Graduate Training C Cardenas*, L Court, University of Texas MD Anderson Cancer Center, Houston, TX |
| PO-GePV-E-17 | Brain Functional Connectivity Reveals RTMS Effectiveness Pain Reduction in Non-Specific Chronic Low Back Pain Patients M Masoumbeigi1*, N Riyahi-Alam1;2, R Kordi3;4, M Rostami5, A Jafari1, A Rahimiforoushani6, H Hashemi7, (1) Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences ,Tehran, ,Iran, (2) PERFORM Preventive Medicine and Health Care Centre, Concordia University, Montreal, Quebec, Canada (3) Sports Medicine Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran(4) Sport Medicine Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran (5) Neurosurgery Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran (6) Epidemiology and Biostatistics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran (7) Radiology Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran |
| PO-GePV-I-18 | CT Image Standardization for Radiomic Feature Enhancement in Non-Small Cell Lung Cancer M Selim1*, J Chen2, B Fei3, G Zhang4, J Zhang5, (1) University Of Kentucky, ,,(2) University Of Kentucky, ,,(3) University of Texas (UT) at Dallas and UT Southwestern Medical Center, Richardson, TX, (4) Uthealth, ,,(5) University of Kentucky, Lexington, KY |
| PO-GePV-M-14 | Hyperpolarized Gas MRI Ventilation Synthesis From CT: Comparison of Conventional and Deep Learning Methods J Astley*, A Biancardi, M Walker, P Hughes, H Marshall, G Collier, M Hatton, J Wild, B Tahir, The University of Sheffield, Sheffield, United Kingdom |
| PO-GePV-M-15 | Limitations of the Structural Similarity Index in Medical Image Synthesis Evaluation D Gourdeau1,2,3*, S Duchesne1,2, L Archambault2,3, (1) Universite Laval (2) CERVO Brain research center (3) CHUQ Hotel-Dieu de Quebec |
| PO-GePV-M-44 | Classification of Anatomic Structures by CT-Based Radiomics for Head-Neck Radiotherapy Y Watanabe1*, N Gopishankar2, A Biswas2, K Rangarajan2, G Rath2, (1) University of Minnesota, Minneapolis, MN, (2) All India Institute Of Medical Sciences |
| PO-GePV-M-65 | A First In-Phantom Quantitative Concept Validation for a Prospective Respiratory Signal-Guided 4D CT Protocol A Boschini1*, M Fusella2, S Sapignoli2, M Paiusco2, (1) AULSS2 Marca Trevigiana, Treviso, IT, (2) Istituto Oncologico Veneto, Padua ,IT |
| PO-GePV-M-67 | Fiducial Registration-Error Analysis of PCA Lung Model for DVF Assessment O Trejo1*, S Samant2, G Yan3, B Lu4, (1) University of Florida, Hampton, FL, (2) University of Florida, Gainesville, FL, (3) University of Florida, Gainesville, FL, (4) University of Florida, Gainesville, FL |
| PO-GePV-M-91 | Utilization of the QUART Phantom to Evaluate Imaging Stability of a CBCT-Based Online Adaptive Workflow A Dare*, K Homann, M Morales Paliza, Vanderbilt University Medical Center, Nashville, TN |
| PO-GePV-M-125 | Characterization of Imaging Performance Of a Novel Helical KVCT System for Use in Image-Guided and Adaptive Radiotherapy R Tegtmeier*, W Ferris, J Bayouth, W Culberson, University of Wisconsin, Madison, WI |
| PO-GePV-M-167 | PTV Auto Contouring for Prostate and Nodes Utilizing Deep Learning Artificial Intelligence H Yao*, J Chang, J Baker, Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, New York |
| PO-GePV-M-172 | Automated Analysis of QA Images Acquired with Low-Field MRgRT R Moskwa1*, B Paliwal2, I Tanumihardjo2, P Yadav2, (1) Medical Physics, University of Wisconsin-Madison, Madison, WI, (2) School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI |
| PO-GePV-M-217 | Foreign Bodies Detection in Pediatrics with Low Dose CT M Aljallad1*, (1) West County Radiology, St. Louis, MO |
| PO-GePV-M-237 | Interpretable Artificial Intelligence-Based Extracapsular Extension Prediction in Head and Neck Cancer Analysis Y Wang1, W Duggar2*, T Thomas2, P Roberts2, R Gatewood2, L Bian1, H Wang1, (1) Mississippi State University, (2) University of Mississippi Med. Center |
| PO-GePV-M-248 | A Medical Image Challenge Infrastructure K Farahani1*, J Kalpathy-Cramer2, B Bearce3, U Wagner4, (1) National Cancer Institute, Bethesda, MD, (2) Boston, MA, (3) No institution provided (4) Frederick National Lab, Frederick, MD |
| PO-GePV-M-249 | Automatic Segmentation of Head and Neck Tumors During Treatment: Can We Remove the Mask Yet? M Gardner1*, A Mylonas1,2, M Mueller1, Y Ben Bouchta1, J Sykes3, P Keall1, D Nguyen1,2, (1) ACRF Image X Institute, Sydney, NSW, AU, (2) University of Technology Sydney, Ultimo, NSW, AU (3) Blacktown Hospital, Blacktown, NSW ,AU, |
| PO-GePV-T-439 | Evaluation of A New Method to Measure Colony Growth In-Vitro R Holden*, J Park, A Lynnette Price, D Dunn, S Floyd, M Oldham, Duke University Medical Center, Durham, NC |
| SU-AB-TRACK 3-0 | SIIM-AAPM Joint Symposium On Machine Intelligence in Medical Imaging B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-1 | Introduction B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-2 | Challenges and Opportunities in Validation of AI for Medical Imaging B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-3 | Harnessing AI to Enable Advanced Image-Guidance in Interventional Procedures B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-4 | Joint Optimization of Learning-Based Image Reconstruction and K-Space Trajectories for MRI B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-5 | Standards-Based Integration of AI Tools into Clinical Practice B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-AB-TRACK 3-6 | Q&A B Landman1*, K Brock2*, J Fessler3*, K Andriole4*, (1) Vanderbilt University Medical Center, Nashville, TN, (2) UT MD Anderson Cancer Center, Houston, TX, (3) University of Michigan, Ann Arbor, MI, (4) Brigham & Women's Hospital, Harvard Medical School, Branford, CT |
| SU-E-TRACK 6-3 | JACK KROHMER EARLY-CAREER INVESTIGATOR COMPETITION WINNER: Multi-Group Multi-Block Data Integration for Harmonizing 18F-FDG-PET/CT Radiomics Associated with Circulating Tumor Cells and Predicting Recurrence-Free Survival Across Independent Lung Cancer Radiotherapy Studies S Lee*, G Kao, S Feigenberg, Y Fan, Y Xiao, University of Pennsylvania, Philadelphia, PA |
| SU-E-TRACK 6-5 | Multi-Class Classification Based On Multi-Loss Strategy and Auxiliary Deep Learning Network with Applications in Medical Imaging Z Fan*1, S He2, E Chen1,6, S Ruan3, X Wang4, H Li1,5 (1)University of Illinois at Urbana-Champaign, Urbana, IL (2)Washington University in St. Louis, St. Louis, MO (3)University of Rouen, Rouen, France (4)University of Illinois at Chicago, Chicago, IL (5)Carle Foundation Hospital, Urbana, IL (6)Carle Illinois College of Medicine, Urbana, IL |
| SU-E-TRACK 6-6 | A Radiomics-Boosted Deep Learning Model for COVID-19 and Non-COVID-19 Pneumonia Detection Using Chest X-Ray Image Z Hu1*, Z Yang2, F Yin2, K Lafata2, C Wang2, (1) Duke Kunshan University, Kunshan, Jiangsu, China, (2) Duke University Medical Center, Durham, NC |
| SU-IePD-TRACK 1-3 | Self-Supervised Deep Learning in the Assessment of Enteral Feeding Tube Positioning Based On A Small Dataset G Liang1*, D Steffey2, H Ganesh3, J Zhang4, (1) Eastern Kentucky University, ,,(2) University Of Kentucky, ,,(3) University Of Kentucky, ,,(4) University of Kentucky, Lexington, KY |
| SU-IePD-TRACK 3-3 | Segmentation of a Highly Deformable Organ Using a Machine-Assisted Interpolation Algorithm D Luximon*, Y Abdulkadir, E Morris, P Chow, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| TH-IePD-TRACK 1-6 | The Impact of Dual Energy CT (DECT) Protocol Settings On Image Quality R Nosrati1,2*, M Palmer3, O Brook3, D Zhang1,2, (1) Harvard Medical School, Boston, MA, (2) Children's Hospital, Boston, MA, (3) Beth Israel Deaconess Medical Center, Boston, MA |
| TH-IePD-TRACK 2-2 | Analysis of Diffusion and Microstructure Properties in Brain Tumors Using a Random Walk with Barriers Model Y Li1*, M Kim2, T Lawrence3, T Feiweier4, Y Cao5, (1) University of Michigan, Ann Arbor, MI (2) University Of Michigan, Ann Arbor, MI (3) University of Michigan, Ann Arbor, MI (4) Siemens Healthineers (5) The University of Michigan, Ann Arbor, MI |
| TH-IePD-TRACK 2-7 | MRI Scanner 3D Field Homogeneity Evaluation for ACR Acceptance and Performance Testing J.-X. Wang1*, (1) University of Alabama at Birmingham, Birmingham, AL |
| TH-IePD-TRACK 3-3 | Attention Guided Network for Vestibular Schwannoma Growth Prediction K Wang*, L Chen, N George-Jones, J Hunter, J Wang, UT Southwestern Medical Center, Dallas, TX |
| TU-A-TRACK 6-4 | Predicting Osteoradionecrosis From Head and Neck Radiotherapy Using a Residual convolutional Neural Network B Reber*, B Anderson, A Mohamed, L Van Dijk, B Rigaud, M McCulloch, Y He, M Woodland, C Fuller, S Lai, K Brock, UT MD Anderson Cancer Center, Houston, TX |
| TU-E-TRACK 6-3 | GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation M Woodland*1,2, A Patel2,3, B Anderson1, E Lin1, E Koay1, B Odisio1, K Brock1, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX, (3) Baylor College of Medicine, Houston, TX |
| TU-IePD-TRACK 4-6 | The National Biomedical Imaging Archive S Gustafson1*, Q Pan2, M Lerner3, T Tran4, C Klinger5, R Rieling6, U Wagner7, K Farahani8, (1) Ellumen Inc., ,,(2) ,,,(3) ,,,(4) ,,,(5) ,,,(6) ,,,(7) Frederick National Lab, Frederick, MD, (8) National Cancer Institute, Bethesda, MD |
| WE-D-TRACK 3-6 | A Scanner-Specific Simulation Platform for Virtual Imaging Trials in Deep Si-Based Photon-Counting CT S Sharma1*, D Pal2, E Abadi3, P Segars4, J Hsieh5, E Samei6, (1) Duke University, Durham, NC, (2) GE Healthcare, Menlo Park, CA, (3) Duke University, Durham, NC, (4) Duke University, Durham, NC, (5) GE Healthcare, Milwaukee, WI, (6) Duke University, Durham, NC |
| WE-IePD-TRACK 1-1 | A Hybrid Method for Prostate Segmentation in Transrectal Ultrasound Based On Redefined Closed K-Segment Principal Curve and Improved Differential Evolution-Based Artificial Neural Network T Peng1*, J Zhao2, J Cai3, (1) The Hong Kong Polytechnic university, Hong Kong, ,HK, (2) Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital, Beijing, China(3) Hong Kong Polytechnic University, Hong Kong, 91 |
| WE-IePD-TRACK 2-5 | Deep Learning Vs. Iterative Reconstruction in CT Dose Reduction and Image Texture Preservation:A Live Animal Study J Zhang1, F Raslau2, H Ganesh3, E Escott4, J Zhang5*, (1) Math Science Technology Center (mstc), Paul Laurence Dunbar High School, ,,(2) University of Kentucky, Lexington, KY, (3) University Of Kentucky, ,,(4) ,,,(5) University of Kentucky, Lexington, KY |
| WE-IePD-TRACK 3-1 | An AI-Based Watchdog Application to Screen Out COVID-19 Patients in Radiation Therapy J Tan*, D Nguyen, J Wu, P Iyengar, F Kay, Y Yan, S Jiang, UT Southwestern Medical Center, Dallas, TX |
| WE-IePD-TRACK 4-6 | Ultrasound Histogram Assessment of Radiation-Induced Breast Toxicity in Breast Cancer Radiotherapy: A Longitudinal Study of Acute Toxicity b zhou*, X Yang, J Lin, S Kahn, K Godette, M Torres, T Liu, Emory Univ, Atlanta, GA |