
Kyung Sung
@kyunghsung
My research is to advance patient healthcare through the development and application of artificial intelligence and quantitative imaging technologies
ID: 1461422938557599744
https://mrrl.ucla.edu/sunglab/ 18-11-2021 19:56:15
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65 Followers
91 Following

Lucky to share this day with someone who has been an inspiration to me! 🌟 UCLA Radiology UCSDRadRes #RSNA2023 #RSNA23 RSNA #RSNAGrants


Congratulations to UCLA Radiology #AbdominalImaging Jason Chiang, MD, PhD Kyung Sung Pedram Keshavarz, MD Daniel H Kim MD Abinaya Ramakrishnan for #RSNA2023 for 20 abstracts & Research Scholar and Trainee Research Prizes


Great talk by Abinaya Ramakrishnan on the prognostic value of pre-ablation biopsies for HCC! House was packed and she deservedly won the RSNA Trainee Research Prize! UCLA Radiology UCLA IR #RSNA2023 #rsnaucla


Jason Chiang, MD, PhD UCLA IR UCLA Radiology Hiro Sparks Kyung Sung Congratulations Hiro Sparks Jason Chiang, MD, PhD Kyung Sung UCLA Radiology for #tumorablation


Kyung Sung Jason Chiang, MD, PhD UCLA Radiology Congratulations to Kyung Sung and Sohaib for #ArtificialInteligence for #ProstateMRI,UCLA Radiology #RSNA23

Congratulations, Alex Hung, for being selected as orals at Winter Conference on Applications of Computer Vision (WACV), 2024! Only 53 papers were selected as orals out of 2042 papers submitted (~2%) UCLA Radiology Steven S. Raman MD, FSAR, FSIR #WACV24 #artificalintelligence



New in Scientific Reports by UCLA Radiology's Steven S. Raman MD, FSAR, FSIR & colleagues: " AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI." doi.org/10.1038/s41598…

In Scientific Reports, UCLA Radiology researchers find improved #DeepLearning networks enhanced "clinically significant prostate cancer (csPCa) detection & patient-level classification." doi.org/10.1038/s41598…

Model performance on prostate cancer detection "improves when either symmetric-related anatomical priors or zonal appearance differences of PCa are considered," note UCLA Radiology researchers. doi.org/10.1038/s41598…






