Katharina Viktoria Hoebel

8PUBLICATIONS
87CO-AUTHORS
Planning and decision makingDeep learningInnate immunityBioinformatic methods developmentSemi- and unsupervised learning
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Publications (8)

|Oct 22, 2026
TRAM-AI: A Framework for Transparency in Reporting of Medical Imaging Datasets for Artificial Intelligence Development.

|Apr 17, 2026
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.

|Sep 04, 2025
Immunoprofiling at an Institutional Scale Reveals That High Numbers of Intratumoral CD8+ and PD-1+ Cells Predict Superior Patient Survival Across Major Cancer Types Independent of Major Risk Factors.

Joao V Alessi, James R Lindsay, Anita Giobbie-Hurder

|Jan 10, 2024
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.

Katharina V Hoebel, Christopher P Bridge, Sara Ahmed

|Dec 20, 2022
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.

Mishka Gidwani, Ken Chang, Jay Biren Patel

|Nov 18, 2022
Improving the repeatability of deep learning models with Monte Carlo dropout.

Andreanne Lemay, Katharina Hoebel, Christopher P Bridge

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Frequent Collaborators

5 joint publications

Jayashree Kalpathy-Cramer

4 joint publications

Ken Chang

3 joint publications

Praveer Singh

2 joint publications

Jay Patel