Lubdha M. Shah

About

Lubdha M. Shah, MD, is a professor in the Radiology & Imaging Sciences department and an adjunct associate professor in Neurosurgery at the University of Utah. She is the director of spine imaging, with clinical and research interests that include functional MRI, diffusion tensor imaging, MR perfusion imaging, and MR spectroscopy in brain and spinal tumors as well as degenerative disease. Dr. Shah performs neurointerventional spinal procedures such as epidural steroid injections. Her academic background includes a B.A. in Biology from Cornell University, an M.D. from the University of Louisville, and specialized training in neuroradiology at Duke University Medical Center, along with graduate training at the University of Utah. Her extensive publication record reflects her focus on advanced imaging techniques and interventions related to spinal and brain pathologies.

Research topics

• Medicine
• Physics
• Artificial Intelligence
• Nuclear magnetic resonance
• Computer Science
• Nuclear medicine
• Radiology
• Neuroscience
• Biology
• Management

Selected publications

• Image segmentations produced by BAMF under the AIMI Annotations initiative

  arXiv (Cornell University) · 2024 · 369 citations

  The Imaging Data Commons (IDC)(https://imaging.datacommons.cancer.gov/) [1] connects researchers with publicly available cancer imaging data, often linked with other types of cancer data. Many of the collections have limited annotations due to the expense and effort required to create these manually. The increased capabilities of AI analysis of radiology images provide an opportunity to augment existing IDC collections with new annotation data. To further this goal, we trained several nnUNet [2]…

  DOI

• Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

  Radiology Artificial Intelligence · 2020-04-29 · 208 citations

  articleOpen access

  This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.

  PublisherOA PDFDOI

• BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023

  The Journal of Machine Learning for Biomedical Imaging · 2025-06-26 · 10 citations

  articleOpen access

  Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This…

  PublisherOA PDFDOI

• State of Practice on Transcranial MR-Guided Focused Ultrasound: A Report from the ASNR Standards and Guidelines Committee and ACR Commission on Neuroradiology Workgroup

  American Journal of Neuroradiology · 2024-11-21 · 8 citations

  articleOpen access

  Transcranial focused ultrasound (FUS) is a versatile, MR-guided, incisionless intervention with diagnostic and therapeutic applications for neurologic and psychiatric diseases. It is currently FDA-approved as a thermoablative treatment of essential tremor and Parkinson disease. However, other applications of FUS including BBB opening for diagnostic and therapeutic applications, sonodynamic therapy, histotripsy, and low-intensity focused ultrasound neuromodulation are all in clinical trials. Whil…

  PublisherOA PDFDOI

• High-b diffusivity of MS lesions in cervical spinal cord using ultrahigh-b DWI (UHb-DWI)

  NeuroImage Clinical · 2021 · 6 citations

  PURPOSE: The purpose of this study was to investigate UHb-rDWI signal in white matter tracts of the cervical spinal cord (CSC) and compare quantitative values between healthy control WM with both MS NAWM and MS WM lesions. METHODS: was estimated by fitting the signal-b curve to a double or single-exponential function. RESULTS: /s, respectively. UHb-rDWI signal-b curves of the MS patients revealed to noticeably behave differently to that of the healthy controls. The patient signal-b curves decaye…

  PublisherDOI

Frequent coauthors

• Christie M. Lincoln

  Baylor College of Medicine

  54 shared

• Ryan K. Lee

  Twitter (United States)

  41 shared

• Adam E. Flanders

  Universidade Federal de São Paulo

  40 shared

• Vahe M. Zohrabian

  North Shore University Hospital

  38 shared

• Luciano M. Prevedello

  The Ohio State University

  38 shared

• John Mongan

  City College of San Francisco

  38 shared

• Ichiro Ikuta

  Mayo Clinic Hospital

  38 shared

• David Joyner

  Little Company of Mary Hospital

  38 shared

Similar researchers at University of Utah

• Darrel S. Brodkeh-65
• Andrew T. Daileyh-56
• Erica F. Bissonh-35