Felix Nensa

Orcid: 0000-0002-5811-7100

According to our database1, Felix Nensa authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
From admission to discharge: a systematic review of clinical natural language processing along the patient journey.
BMC Medical Informatics Decis. Mak., December, 2024

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping.
Comput. Methods Programs Biomed., January, 2024

The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study.
Informatics, 2024

SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees.
CoRR, 2024

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset.
CoRR, 2024

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.
BMC Medical Imaging, December, 2023



Deep learning in computational dermatopathology of melanoma: A technical systematic literature review.
Comput. Biol. Medicine, September, 2023

Open-source skull reconstruction with MONAI.
SoftwareX, July, 2023

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.
CoRR, 2023

2022
Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology.
Sensors, 2022

Current State of Community-Driven Radiological AI Deployment in Medical Imaging.
CoRR, 2022

2021
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation.
CoRR, 2021

2020
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks.
Medical Image Anal., 2020

Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks.
CoRR, 2020

2019
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Variations on Branding with Text Occurrence for Optimized Body Parts Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Optimizing Body Region Classification with Deep Convolutional Activation Features.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018


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