DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Keywords: computer vision
| MO-EF-TRACK 4-7 | Latent Space Arc Therapy Optimization N Bice1*, N Kirby1, D Nguyen2, C Kabat1, P Myers1, N Papanikolaou1, M Fakhreddine1, (1) UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas, (2) UT Southwestern Medical Center, Dallas, TX. |
| MO-IePD-TRACK 4-3 | Explainable AI Model for COVID-19 Diagnosis Through Joint Deep Learning and Radiomics D Yang*, G Ren, M Ying, J Cai, Hong Kong Polytechnic University, Hong Kong, 91 |
| MO-IePD-TRACK 4-7 | Using Neural Networks to Extend Cropped Medical Images for Deformable Registration Among Images with Differing Scan Extents E McKenzie1*, N Tong2, D Ruan1, M Cao1, R Chin1, K Sheng1, (1) UCLA, Los Angeles, CA, (2) Xidian University, Xi'an CN |
| PO-GePV-M-16 | Predicting Successful Clinical Candidates for Marker-Less Lung Tumor Tracking with a Deep Learning Classification Model M Lafreniere*, G Valdes, M Descovich, University of California San Francisco, San Francisco, CA |
| PO-GePV-M-18 | Using CNNs to Extract Standard Structure Names While Learning Radiomic Features W Sleeman*, P Bose, P Ghosh, J Palta, R Kapoor, Virginia Commonwealth University, Richmond, VA |
| PO-GePV-M-30 | Low-Dose CT Images Denoising Integrating Machine Learning and Optimization Q Xu*, Q Lyu, K Sheng, UCLA School of Medicine, Los Angeles, CA |
| 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-243 | Multi-Scale Deep Learning CT Liver and Spleen Segmentation Network for Radiation-Induced Toxicity Outcomes Analysis R Haq*, I Onochie, A Apte, M Thor, J Deasy, Memorial Sloan-Kettering Cancer Center, New York, NY |
| SU-CD-TRACK 3-0 | Medical Imaging and Data Resource Center: Imaging in Covid M Giger1*, P Kinahan2*, M McNitt-Gray3*, K Myers4*, S Armato5*, (1) University of Chicago, Chicago, IL, (2) University of Washington, Seattle, WA, (3) David Geffen School of Medicine at UCLA, Los Angeles, CA, (4) Office of Science and Engineering Laboratories, FDA, Silver Spring, MD, (5) The University of Chicago, Chicago, IL |
| SU-E-TRACK 6-2 | Computer-Assisted Diagnosis of Hepatic Portal Hypertension: A Novel, Attention-Guided Deep Learning Framework Based On CT Imaging and Laboratory Data Integration Y Wang*, X Li, M Konanur, B Konkel, E Seyferth, N Brajer, M Bashir, K Lafata, Duke University, Durham, NC |
| 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-IePD-TRACK 1-4 | Wavelet U-Net: Incorporating Wavelet Transform Into U-Net for Liver Segmentation J Chang*, C Chang, California Protons Cancer Therapy Center / UCSD, San Diego, CA |
| TH-E-TRACK 4-1 | Few Shot Meta Learner for Post-Operative Prostate CTV Style Adaptation A Balagopal*, D Nguyen, T Bai, H Morgan, M Dohopolski, N Desai, A Garant, R Hannan, S Jiang, University of Texas Southwestern Medical Center, Dallas, TX |
| TH-E-TRACK 4-5 | Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation A Celaya1, J Actor1,2, R Muthusivarajan1, E Gates1*, C Chung1, D Schellingerhout1, B Riviere2, D Fuentes1, (1) University Of Texas Md Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX |
| 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 |
| WE-IePD-TRACK 1-7 | A Geometry-Guided Deep Learning Technique for CBCT Reconstruction K Lu1*, L Ren2, F Yin2, (1) Duke University, Durham, NC, (2) Duke University Medical Center, Durham, NC |