CV

Krithika Iyer

Contact: k[lastname] [at] cnmc [dot] org
Google Scholar: link
GitHub: link

Research Interests

Statistical Shape Modeling; Probabilistic Modeling; Deep Learning; Medical Image Analysis; Computer Vision

Education

• Ph.D. Computing (Image Analysis), Univ. of Utah (2025)
  Dissertation: Unsupervised Machine Learning Frameworks for Statistical Shape Modeling from Surfaces and Images
  Advisor: Dr. Shireen Elhabian
• B.E. Electronics and Telecommunication, Maharashtra Institute of Technology, Univ. of Pune (2015)

Research Experience

• Postdoctoral Research Fellow, Children’s National Hospital, DC (Mar 2025–Present)
  • Pediatric Accelerated Intelligence (PAI) Lab, Sheikh Zayed Institute for Pediatric Surgical Innovation. Advisor: Dr. Marius George Linguraru.
  • Developing deep learning methods for super-resolution for pediatric ultra-low-field MRI in LMICs with the UNITY consortium, advancing accessible medical imaging.
• Graduate Research Assistant, Scientific Computing and Imaging Institute, Univ. of Utah (2020–2025)
  • Probabilistic and deep learning for medical imaging; unsupervised anatomical shape modeling; ShapeWorks development; mentorship and interdisciplinary collaborations.
• Graduate Research Assistant, Materials Science, Univ. of Utah/Idaho National Labs (2019–2020)
  • Molecular dynamics and ML for alloy property analysis.

Publications and Talks

See my publications for papers and preprints, and talks for presentations.

Selected Presentations

• Invited keynote, ShapeMI at MICCAI 2026 — Strasbourg, France, September 27, 2026 (upcoming).
• Invited talk, Virginia Tech–Children’s National AI for Pediatric Health Symposium — AI-enhanced portable pediatric MRI, jointly with Austin Tapp, Alexandria, Virginia, May 28, 2026. Details.
• Oral presentation, ISMRM 2026 — AI-enhanced ultra-low-field MRI for neonatal neuroimaging, Cape Town, South Africa, May 11, 2026.
• Oral presentation, ISBI 2026 — MRI-to-CT synthesis with cranial suture segmentation, London, United Kingdom, April 10, 2026.
• Workshop talk, BraTS 2025 at MICCAI — Post-Processing Methods for Improving Accuracy in MRI Inpainting, Daejeon, South Korea, September 23, 2025. Details.
• Oral presentation, MIUA 2024 — SCorP, Manchester, United Kingdom, July 24, 2024. Best Paper Award in Medical Images and Computational Models. Details.

Poster Presentations

• ISMRM 2026
  From Structure to Function: Predicting Cognitive Risk using Ultra-Low-Field MRI Measured Brain Structure Volumes
  Digital poster, May 12, 2026, Cape Town, South Africa. Abstract 469-01-009.

• MIDL 2025
  MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
  Poster presentation.

• IPMI 2025
  LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
  Poster; unable to attend in person.

• MLMI 2024 at MICCAI
  Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
  Poster presentation.

• MICCAI 2023
  Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
  Poster presentation.

• STACOM 2022 at MICCAI
  Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
  Poster presentation.

• University of Utah Undergraduate Research Symposium
  Introducing the lab’s research to undergraduate students
  Poster presentation.

Research Software

• Mesh2SSM++: Public implementation of probabilistic, unsupervised statistical shape modeling from anatomical surface meshes.
• LEDA and MORPH-LER: Research code for statistical analysis of anatomical deformations and population-aware image registration.
• ShapeWorks: Contributed to the open-source platform for statistical shape modeling and analysis during my doctoral research.

Leadership

• Organizer, LISA Challenge at MICCAI (2025–2026). LISA 2026 challenge website · Co-authored challenge description
• President/Chair, GradSWE, University of Utah (2021–2023)

Academic Service

Committees and Conference Service

• Senior Program Committee Member: AAAI 2027 AI Alignment Track.
• Organizing Committee Member: AFRICAI 2026, MICCAI Special Interest Group on African Medical Imaging AI workshop.
• Session Chair: ISBI (2026).

Editorial Service

• Proceedings Editor: LISA 2026 proceedings (not yet published).

Conference Reviewing

• MICCAI (2023–2026)
• ISBI (2026)
• IPMI (2025)
• MIDL (2025)
• MIUA (2024)

Journal Reviewing

• IEEE Transactions on Medical Imaging (TMI), 2024–present
• Medical Image Analysis (MedIA), 2026–present
• WIREs Data Mining and Knowledge Discovery (2024)
• IEEE Transactions on Circuits and Systems for Video Technology (2023)

Community Service

• Judge: University of Utah Science & Engineering Fair (2022).

Awards

• REI Week Poster Session Award, Community-Based Research (Postdocs/Fellows/Residents), Children’s National Hospital (2026). Recognized for research on early cognitive risk prediction using ultra-low-field MRI brain volumetry and demographic measures in low-resource settings. Award announcement
• Best Paper, MIUA 2024
• Manager’s Choice Award, IBM (2016)
• High Academic Performance, Univ. Pune (2015)