Kevin Kramer

According to our database, Kevin Kramer authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects.

Yixin Zhang, Nicholas Konz, Kevin Kramer, Maciej A. Mazurowski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model.

Yixin Zhang, Ryan Chamberlain, Lawrence Ngo, Kevin Kramer, Maciej A. Mazurowski

CoRR, September, 2025

2024

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?

Yixin Zhang, Kevin Kramer, Maciej A. Mazurowski

CoRR, 2024

Quantifying the Limits of Segment Anything Model: Analyzing Challenges in Segmenting Tree-Like and Low-Contrast Structures.

Yixin Zhang, Nicholas Konz, Kevin Kramer, Maciej A. Mazurowski

CoRR, 2024

2023

Towards Evolution Capabilities in Data Pipelines.

Kevin Kramer

Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 2023

2021

Visualization of Multi-Dimensional Data - The data-slicer Package.

Kevin Kramer, Johan Chang

J. Open Source Softw., 2021

Automatically identifying a mobile phone user's position within a vehicle.

Matt Knutson, Kevin Kramer, Sara Seifert, Ryan Chamberlain

CoRR, 2021