Cover Image

Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lindo, Mariana, Santos, Ana Sofia, Ferreira, André, Li, Jianning, Luijten, Gijs, Correia, Gustavo, Kim, Moon, Schaarschmidt, Benedikt Michael, Deuschl, Cornelius, Haubold, Johannes, Kleesiek, Jens, Egger, Jan, Alves, Victor
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Brain Tumour Removing and Missing Modality Generation using 3D WDM
by: Ferreira, André, et al.
Published: (2024)

Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review
by: Alves, Ana Carolina, et al.
Published: (2024)

Beyond the Desktop: XR-Driven Segmentation with Meta Quest 3 and MX Ink
by: de Paiva, Lisle Faray, et al.
Published: (2025)

VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
by: Moradi, Nikoo, et al.
Published: (2026)

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
by: Moradi, Nikoo, et al.
Published: (2024)

A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
by: Lackner, Michael, et al.
Published: (2024)

Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
by: Heine, Lukas, et al.
Published: (2024)

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound
by: Luijten, Gijs, et al.
Published: (2025)

FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
by: Ferreira, André, et al.
Published: (2022)

How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
by: Ferreira, André, et al.
Published: (2024)

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
by: Jonske, Frederic, et al.
Published: (2023)

aim_is_all_you_need
by: Katz, Seth
Published: (2025)

Discernment is all you need
by: Fuenmayor, David
Published: (2026)

Propaganda is all you need
by: Kronlund-Drouault, Paul
Published: (2024)

Photometry is all you need: supernova classification as a mixing problem
by: Uzsoy, Ana Sofía M., et al.
Published: (2026)

From Screen to Space: Evaluating Siemens' Cinematic Reality
by: Luijten, Gijs, et al.
Published: (2025)

One protein is all you need
by: Bushuiev, Anton, et al.
Published: (2024)

Gadolinium dose reduction for brain MRI using conditional deep learning
by: Pinetz, Thomas, et al.
Published: (2024)

REL: Working out is all you need
by: Simonds, Toby, et al.
Published: (2024)

Filtered Rayleigh-Ritz is all you need
by: Abbott, Ryan, et al.
Published: (2025)

Kolmogorov GAM Networks are all you need!
by: Polson, Sarah, et al.
Published: (2025)

Anti-concentration is (almost) all you need
by: Heinrich, Markus, et al.
Published: (2025)

Downstream bias mitigation is all you need
by: Baksi, Arkadeep, et al.
Published: (2024)

Compression is all you need: Modeling Mathematics
by: Aksenov, Vitaly, et al.
Published: (2026)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)

KV-weights are all you need for skipless transformers
by: Graef, Nils
Published: (2024)

Tabular Data: Is Deep Learning all you need?
by: Zabërgja, Guri, et al.
Published: (2024)

Attention is all you need to solve chiral superconductivity
by: Li, Chun-Tse, et al.
Published: (2025)

Reddit is all you need: Authorship profiling for Romanian
by: Ştefănescu, Ecaterina, et al.
Published: (2024)

Five parameters are all you need (in $Λ$CDM)
by: Montero-Camacho, Paulo, et al.
Published: (2024)

Regression is all you need for medical image translation
by: Rassmann, Sebastian, et al.
Published: (2025)

Image compositing is all you need for data augmentation
by: Shermaine, Ang Jia Ning, et al.
Published: (2025)

Safe but Incalculable: Energy-weighting is not all you need
by: Bright-Thonney, Samuel, et al.
Published: (2023)

Large Language Models aren't all that you need
by: Holla, Kiran Voderhobli, et al.
Published: (2024)

Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space
by: Rempe, Moritz, et al.
Published: (2026)

Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine
by: Krieger, Kathrin, et al.
Published: (2023)

Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery
by: Weber, Maximilian, et al.
Published: (2024)

Mosaic-skeleton approximation is all you need for Smoluchowski equations
by: Dyachenko, Roman R., et al.
Published: (2025)

Is attention all you need to solve the correlated electron problem?
by: Geier, Max, et al.
Published: (2025)

Do you need a DAO?
by: Axelsen, Henrik, et al.
Published: (2024)