UCSF ci2 Investigators Shine at 2021 Imaging Research Symposium

Each year, the UCSF Department of Radiology and Biomedical Imaging hosts a research symposium to highlight the innovative work being done in the department. Like last year, the 2021 Imaging Research Symposium was held virtually and welcomed attendees from UCSF's scientific community. Given the important role that artificial intelligence (AI) and deep learning continues to play in radiology and biomedical imaging research, investigators from the UCSF Center for Intelligent Imaging (ci2) had a strong presence at this year's event.

Valentina Pedoia PhD's presentation wins Best Podium Presentation

During the afternoon poster session, Valentina Pedoia, PhD presented on "AI is a Learner and AI is a Teacher: DL-Based Chronic Pain Imaging Biomarkers Discovery." Her eight-minute presentation followed by two minutes of questions earned her the award for Best Podium Presentation.

Research by Valentina Pedoia PhD on "AI is a Learner and AI is a Teacher: DL-Based Chronic Pain Imaging Biomarkers Discovery"

Pablo Damasceno, PhD also presented during this session on "Clinical evaluation of segmentation-based low grade glioma progression detection."

Research from Pablo Damasceno, PhD on "Clinical evaluation of segmentation-based low grade glioma progression detection"

Andreas Rauschecker, MD, PhD receives the Rahul Desikan Award

The Rahul Desikan Award is presented for outstanding research by a junior clinical faculty or clinical trainee at UCSF Radiology. This award honors the legacy of Rahul Desikan, MD, a brilliant neuroscientist and radiologist, an inspiring mentor, and a friend and colleague beloved by many within and outside of UCSF. Andreas Rauschecker, MD, PhD, UCSF ci2 member and UCSF Radiology faculty took home this year's award.

Andreas Rauschecker, MD, PhD, 2021 Rahul Desikan Award Winner

Bruno Astuto Arouche Nunes, PhD receives a Best Poster Presentation Award in the deep learning category

Poster sessions are divided by topic into six virtual poster sessions featuring a three-minute presentation from each poster presenter and the opportunity for audience questions directed to each poster presenter. Bruno Astuto Arouche Nunes, PhD received an award for his poster on "Human in the Loop: Improving the Quality of Automatic Semantic Multi-Class Segmentation of Knee Cartilage in MRIs with Continuous Learning."

Great work by the following UCSF ci2 members who also presented their research posters:

  • Nikan Namiri "Deep learning and MRI to associate patellofemoral geometry with osteoarthritis"
  • Upasana Bharadwaj, MD "My model achieves near-perfect dice, am I done…Re-thinking model evaluation in the context of anatomical granularity"
  • Madeline Hess "Towards Personalized Biomechanical Models of the Lumbar Spine from Deep Learning-Based Segmentation of MRI"
  • Gunvant Chaudhari "Comparison of Machine Learning Approaches for Predicting delayed Infant Brain Myelination from T1 and T2 MRIs
  • Reza Eghbali, PhD "Survival Analysis of Primary CNS Lymphona Based on Imaging and Clinical Biomarkers"
  • Pierre Nedelec, MS "Automated Measure of Disease Burden on Brain MRI in X-Lined Adrenoleukodystrophy"
  • Joshua Chen "Infant Brain Age Evaluation Using a Convolutional Neural Network Assessing White Matter Myelination on Brain MRI"

Thank you to all ci2 members who participated in this year's research symposium!