DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Taxonomy: IM- MRI : Machine learning, computer vision
| SU-IePD-TRACK 3-2 | Angiogram-Free Intracranial Vessel Localization for Plaque Assessment W Fan1*, Y Sang1, H Zhou1, Z Hu2, J Xiao2, Z Fan2,3, D Ruan1,4, (1) UCLA, Los Angeles, CA, (2) Cedars-Sinai Medical Center, Los Angeles, CA, (3) Keck School of Medicine of USC, Los Angeles, CA, (4) UCLA School of Medicine, Los Angeles, CA |
| TU-EF-TRACK 4-6 | Patient-Specific Deep Learning-Based Self-High-Resolution for MR Imaging Y Lei*, J Roper, E Schreibmann, H Mao, J Bradley, T Liu, X Yang, Emory Univ, Atlanta, GA |
| WE-IePD-TRACK 2-4 | MRI Super-Resolution Via Real-World-Like Training Set Preparation B Huang1*, H Xiao2, T Li2, Y Yang1, Y Yang1, J Cai2, (1) University of Science and Technology of China, Hefei, Anhui, P.R.China, (2) The Hong Kong Polytechnic University, Hong Kong, HK |
| WE-IePD-TRACK 2-7 | Prediction of PH Using AcidoCEST MRI and Machine Learning T Li1,2*, J Cardenas-Rodriguez3, M Pagel1,2 (1) UT MD Anderson Cancer Center, Houston, TX. (2) The University of Texas Health Science Center at Houston Graduate School of Biomedical Sciences, Houston, TX. (3) Data Translator, Oro Valley, AZ. |