Keynotes

Dr. Krithika Iyer is a Postdoctoral Research Fellow at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children's National Hospital in Washington, D.C., where she works in the Pediatric Accelerated Intelligence (PAI) Lab under the mentorship of Dr. Marius George Linguraru. Her research develops machine learning and shape analysis methods for medical imaging, with a current focus on pediatric neuroimaging including MRI-to-CT synthesis for infant skull visualization, super-resolution for ultra-low-field brain MRI, and cognitive outcome prediction to improve access in low-resource settings.

She earned her Ph.D. from the Scientific Computing and Imaging Institute at the University of Utah, where she was advised by Dr. Shireen Elhabian. Dr. Iyer's work has contributed significantly to advancing shape analysis from complex anatomical data. She has developed methods such as Mesh2SSM and Mesh2SSM++, frameworks for learning statistical shape models from anatomical surface meshes, and ScorP, a statistics-informed dense correspondence prediction framework for unsegmented medical images. More recently, she developed LEDA, a Log-Euclidean Diffeomorphic Autoencoder for efficient statistical analysis of anatomical deformations, and MORPH-LER, a population-aware diffeomorphic image registration framework using Log-Euclidean regularization for anatomically consistent morphological analysis.

Her research has appeared in leading venues including MICCAI, IPMI, ISBI, MIUA, Medical Image Analysis, Frontiers in Bioengineering and Biotechnology, and ShapeMI workshop. She received the Best Paper Award in Medical Images and Computational Models at MIUA 2024 and has actively contributed to the medical imaging community through conference reviewing and academic leadership roles.