Lauren Christopher
Engineering · Purdue University West Lafayette
Publications
74
Citations
349
Est. group size
—
Recurring co-author estimate
Active years
39
Publishing since 1988
Lauren Christopher's work centers on computer vision and machine learning, including analysis of medical images (such as brain MRI/MRA scans), vehicle re-identification from images, and methods for detecting anomalies and evaluating the robustness of AI models. Much of the research involves deep learning techniques applied to visual data, including generating synthetic image datasets and studying how well models handle variations like rotation or image distortion.
Publication activity has grown over the last decade, with a notable surge in 2024 following a relatively steady output in prior years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Towards the Segmentation-Guided Generation of 3D MRA Dataset for Aneurysm Detection
Lecture notes in computer science · 2026
- Effect of Fetal Brain Oxygenation and Volume on Brain Maturation and Neurodevelopmental Outcomes in Congenital Heart Disease
Radiology · 2025
- Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID
2025
- Towards the generative model-based synthetization and latent space level analysis of 3D MRA dataset
2025
- Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification
arXiv (Cornell University) · 2024
- Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models
2024
- Mind the (domain) gap: metrics for the differences in synthetic and real data distributions
2024
- Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models
IEEE Transactions on Artificial Intelligence · 2024
- Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID
arXiv (Cornell University) · 2024
- Towards Predicting the Success of Transfer-based Attacks by Quantifying Shared Feature Representations
arXiv (Cornell University) · 2024
- PNOC015: Repeated convection-enhanced delivery of MTX110 (aqueous panobinostat) in children with newly diagnosed diffuse intrinsic pontine glioma
Neuro-Oncology · 2023
- All patched up: effective integration of real and synthetic features into a single image for object detection
2023
- Differences in nutritional status between rural and urban Yucatec Maya children: The importance of early life conditions
American Journal of Biological Anthropology · 2022
- Trusted Data Anomaly Detection (TaDA) in Ground Truth Image Data
2022
- CNN-based network has Network Anisotropy -work harder to learn rotated feature than non-rotated feature
2022
- arXiv (Cornell University)×6
- Author eBooks×3
- IEEE Transactions on Intelligent Transportation Systems×2
- Neuro-Oncology×1
- JAMA Network Open×1
- Ekim Yurtsever
Engineering · The Ohio State University
- Renran Tian
Engineering · Purdue University West Lafayette
- Vamsi Krishna Bandaru
Engineering · Purdue University West Lafayette
- Dan Shen
Engineering · Purdue University West Lafayette
- Bilin Aksun Güvenç
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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