Papers by Thomas Frauenfelder

Papers by Thomas Frauenfelder

Findings

2021.findings-emnlp

Curriculum Learning
image-to-text-to-text
transformer-based architecture
transformer-based sequence-to-sequence paradigm

2021

Language Models

1 papers

Progressive Transformer-Based Generation of Radiology Reports (2021.findings-emnlp)

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Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer

Language Models

Challenge:	Existing approaches to generate radiology reports are based on image-to-text generation.
Approach:	They propose a sequential (i.e., image-to-text-totext) generation framework that integrates high-level concepts into the generation process.
Outcome:	The proposed model outperforms existing models on two benchmark datasets.