Walter Zhao

The UltimateSynth training framework could allow your algorithm to generalize across all MR contrasts! Worth a 👀 Paper: doi.org/10.1101/2024.1… RadAccess article: bit.ly/RadAccess_E6 👏 @RheaAdams_MRI @MRI_Wally @mri_siyuan @WenjiaoLyu @sahar_ahmad4 @MRI_Dan @pt_yap

For his 2022 RSNA Research Medical Student Grant project, Walter Zhao, and colleagues aimed to characterize the reproducibility of MRF-derived radiomic features and establish physiological reference ranges for these metrics. @MRI_Wally bit.ly/42nN2mz

Shoutout to our amazing co-authors for their insights and unwavering support: @GuanhuaW97, Yuning Gu, @MRI_Wally, @ConiferLu, Junqing Zhu, @cmacaskill2, Andrew Dupuis, @mrimark, @MRI_Dan, and Chris Flask. Tons of thanks and kudos go to my mentor @XinYu93026003!!

Winner of the award for Excellence in Graduate Teaching Assistants: Walter Zhao 🎉 Congratulations to all 2024 graduate student award winners! 👏🏼

#ISMRM2024. 2 orals, 2 power pitches and 2 posters. Shout out to the amazing efforts from our trainees. @mri_siyuan @MRI_Wally @MRI_Zhilang @MRI_James @ShMoinian

Celebrating my students' achievements before heading to #ISMRM2024 🥳 2024 Doctoral Excellence Award winner, Siyuan Hu @mri_siyuan and 2024 Excellence in Graduate Teaching Assistantship Award winner, Walter Zhao @MRI_Wally

School of Medicine research associate Amanda Barabas and Walter Zhao, a Medical Scientist Training Program student, shared their hidden talents with The Daily during #NationalHobbyMonth. brnw.ch/21wGoyx

Proud to be part of this effort, and excited for the opportunities ahead!

Watch this coverage from @fox8news highlighting the amazing work of our radiologist and scientists from @CWRUBME. So many ⭐️⭐️⭐️ @MRI_Dan @mrimark @MRI_ChaitraB @AmitGupta_83 @lkayat @SreeHarshaT @DonnaPlecha and so many more. So fortunate for this team! iqmediacorp.com/ClipPlayer?Cli…

Highlighting our awesome co-authors: Zheyuan Hu; @anahita_fathi; Gregor Körzdörfer; Mathias Nittka; @chrisdav66; @satishev; Xiaofeng Wang; and @MRI_ChaitraB! This work was made possible through all of your support! Thank you!

Excited to share my first first-author paper published in Investigative Radiology! Advantages of quantitative MRI can be leveraged for reproducible MRI radiomics. All thanks goes to my fearless advisor @MRI_Dan, our wonderful collaborators, and @cwrumstp! journals.lww.com/investigativer…