Frederic Jonske

According to our database, Frederic Jonske authored at least 5 papers between 2021 and 2025.

Collaborative distances:

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

2025

Automatic Fine-grained Segmentation-assisted Report Generation.

Frederic Jonske, Constantin Seibold, Osman Alperen Koras, Fin Hendrik Bahnsen, Marie Bauer, Amin Dada, Hamza Kalisch, Anton Schily, Jens Kleesiek

CoRR, July, 2025

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.

Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek

Comput. Methods Programs Biomed., 2025

2024

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics.

Oishi Banerjee, Agustina Saenz, Kay Wu, Warren Clements, Adil Zia, Dominic Buensalido, Helen Kavnoudias, Alain S. Abi-Ghanem, Nour El Ghawi, Cibele Luna, Patricia Castillo, Khaled Al-Surimi, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar

CoRR, 2024

2022

Medical deep learning - A systematic meta-review.

Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek

Comput. Methods Programs Biomed., 2022

2021

MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation.

Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek

CoRR, 2021