Matthias Lenga

Orcid: 0000-0003-3771-2012

According to our database1, Matthias Lenga authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fused Audio Instance and Representation for Respiratory Disease Detection.
Sensors, October, 2024

Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study.
CoRR, 2024

Similarity Metrics for MR Image-To-Image Translation.
CoRR, 2024

BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives.
CoRR, 2024

Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics.
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Medical Image Retrieval Using Pretrained Embeddings.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Uncertainty Estimation in Contrast-Enhanced Mr Image Translation with Multi-Axis Fusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
fRegGAN with K-space Loss Regularization for Medical Image Translation.
CoRR, 2023

2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder.
CoRR, 2022

FAIR4Cov: Fused Audio Instance and Representation for COVID-19 Detection.
CoRR, 2022

2021
How Transferable are Self-supervised Features in Medical Image Classification Tasks?
Proceedings of the Machine Learning for Health, 2021

Landmark Constellation Models For Central Venous Catheter Malposition Detection.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
Combining deep learning and model-based segmentation for labeled spine CT segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Continual Learning for Domain Adaptation in Chest X-ray Classification.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Offset regression networks for view plane estimation in 3D fetal ultrasound.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Deep Learning Based Rib Centerline Extraction and Labeling.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018


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