Medical Imaging · Deep Learning · 3D Slicer · Multimodal LLMs

Imaging AI for clinical translation.

Biomedical AI researcher and ML PhD researcher building clinically grounded AI systems across spine CT, image-guided surgery, 3D medical visualization, deep learning, and multimodal language models.

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2017Started medical imaging + deep learning work at Medtronic

9+Publications in imaging, AI, surgical data science, and spine surgery

3DSlicer-based annotation and visualization workflows

Selected Projects

Medical imaging, AI, and 3D visualization work

Representative work spanning multimodal LLMs, spine CT, 3D Slicer workflows, deep learning classification, image-guided surgery, and surgical data science.

Current PhD research

Multimodal LLMs for ICU deterioration prediction

Developing multimodal large language models that combine electronic health record structured data, clinical notes, and medical images to predict ICU deterioration and support clinically grounded AI implementation.

Multimodal LLMsMedical ImagingEHRClinical AI

Neurosurgery + AI

Deep learning for thoracolumbar injury classification from CT

Developed deep learning methods to automatically predict Thoracolumbar Injury Classification and Severity Score from CT imaging for streamlined spine trauma treatment support.

Deep LearningCTSpine TraumaClassification

First-author imaging paper

3D Slicer-based global spinal alignment analysis

Built image analysis workflows for vertebral body annotation, 3D visualization, and automatic global spinal alignment analysis using 3D Slicer and computational imaging methods.

3D SlicerSpine ImagingAnnotationVisualization

Surgical data science

Image-guided spine surgery analytics

Contributed to projects in instrumentation detection, registration, vertebral localization, pedicle screw planning, intraoperative cone-beam CT, and robot-assisted spine surgery workflows.

RegistrationImage GuidanceComputer VisionSurgical Planning

Sophia Doerr presenting medical imaging research at SPIE Medical Imaging

SPIE Medical Imaging research presentation - image-guided surgery, instrumentation detection, registration, and spine imaging AI.

Research credibility

Publication-backed imaging AI experience

My work bridges medical imaging research and practical AI workflows: annotation, 3D visualization, image registration, deep learning model development, clinical scoring prediction, and evaluation of imaging algorithms in surgical settings.

I intentionally frame my work as biomedical AI and imaging research for industry audiences while retaining the clinical fluency that helps me evaluate medical AI systems responsibly.

Available for remote consulting

High-value support for medical AI teams

Flexible project-based availability for teams needing medical imaging expertise, clinical AI judgment, technical review, dataset evaluation, or research support.

Medical imaging AI consultingSpine CT, image-guided surgery, medical imaging workflows, and clinical use-case evaluation.

Expert annotation and dataset reviewClinically informed imaging annotation, quality review, labeling guidelines, and edge-case analysis.

3D Slicer workflow reviewAnnotation, visualization, segmentation-adjacent workflows, and imaging pipeline feedback.

Clinical AI model evaluationReview of model outputs, failure modes, validation framing, and clinician-facing reporting.

Multimodal medical AI research supportSupport for medical image + text workflows, literature synthesis, and project scoping.

Scientific writing and communicationTechnical summaries, research interpretation, documentation, and publication-aware communication.

Selected Publications

Evidence of hands-on imaging AI work

Publications across CT-based classification, 3D Slicer workflows, image-guided surgery, registration, instrumentation detection, and surgical data science.

Automated Prediction of the Thoracolumbar Injury Classification and Severity Score from Computed Tomography using a Novel Deep Learning AlgorithmJNS Spine / Neurosurgical Focus, 2022 Automatic Analysis of Global Spinal Alignment from Simple Annotation of Vertebral BodiesJournal of Medical Imaging, 2020 Data-Driven Detection and Registration of Spine Surgery Instrumentation in Intraoperative ImagesSPIE Medical Imaging, 2020 Automatic Pedicle Screw Planning Using Atlas-Based Registration of Anatomy and Reference TrajectoriesPhysics in Medicine and Biology, 2019

Technical Stack

Imaging researcher with deep learning experience

Medical imaging 3D Slicer Deep learning Multimodal LLMs Spine CT Image registration Segmentation / annotation Surgical data science Computer-assisted surgery Python Clinical AI Biomedical data science

AI for medical imaging, 3D visualization, and clinical translation.

I combine biomedical engineering, medical imaging research, deep learning publications, and current ML PhD work on multimodal clinical AI systems.

Contact Sophia