Katharina Viktoria Hoebel (Katharina V Hoebel, Katharina Hoebel)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Network

Nitric Oxide Synthase

Top Venues

Radiology. Artificial intelligence

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology (2022)
Andreanne Lemay, Katharina Viktoria Hoebel, Christopher P Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
Improving the repeatability of deep learning models with Monte Carlo dropout. NPJ digital medicine 5 (1) (2022)
Nishanth Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Viktoria Hoebel, Sharut Gupta, Jay Patel, Mishka Gidwani, Julius Adebayo, Matthew D Li, Jayashree Kalpathy-Cramer
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology. Artificial intelligence 3 (6) (2021)
Katharina Viktoria Hoebel, Jay B Patel, Andrew L Beers, Ken Chang, Praveer Singh, James M Brown, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Elizabeth R Gerstner, Bruce R Rosen, Jayashree Kalpathy-Cramer
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma. Radiology. Artificial intelligence 3 (1) (2020)