The IDiA Lab proudly congratulates Dr. Olivia Krebs on successfully defending her PhD! Olivia’s thesis presented a computational framework to characterize disease heterogeneity in glioblastoma, and her committee unanimously approved her dissertation, affirming her readiness …
Year: 2026
Jordan Bramble Awarded TL1 Fellowship
Jordan Bramble has been awarded the TL1 Fellowship from the Institute for Clinical & Translational Research — her second competitive fellowship in the span of a month. She will defer her Radiology Fellowship to next …
Dheeru and Jordan Selected for Radiology: Imaging Cancer Trainee Editorial Board
Dheeru Battalapalli and Jordan Bramble have both been selected, through a highly competitive process, to serve on the Trainee Editorial Board of Radiology: Imaging Cancer for a term running July 2026 through August 2027. Their …
IDiA Lab Research Featured on the Cover of Radiology: Imaging Cancer
Congratulations to Hyemin and all co-authors! An image from their article has been selected for the cover of the May 2026 issue of Radiology: Imaging Cancer. This recognition highlights the impact and visual clarity of …
Dheeru’s Abstract Accepted for Oral Presentation at SNO/ASCO CNS Metastases Conference
Dheeru Battalapalli’s abstract, “Interpretable Radiomics Risk Signature for Distinguishing Tumor Recurrence from Radiation Necrosis in Brain Metastases on Post-Treatment MRI: A Comparative Analysis with ‘Black-Box’ Approaches,” has been accepted for an oral presentation at the …
Juhi Desai’s Stroke-Prediction Paper Accepted in Computers in Biology and Medicine
Juhi Desai’s manuscript, “GRaph-based Analysis for Stroke Prediction (GRASP): A multi-modal model for identifying First Ischemic Stroke in high-risk population using UK Biobank,” has been accepted for publication in Computers in Biology and Medicine. The …
Dheeru and Yura’s Abstracts Accepted for Oral Presentation at ISMRM
Two IDiA Lab abstracts have been accepted for oral presentation at the upcoming ISMRM meeting. Dheeru Battalapalli’s abstract, “SMART-Risk Model to Distinguish Recurrence from Pseudoprogression in Brain Tumors: A Large Multi-Institutional Study,” and Yura Oh’s …