André Pedersen
Orcid: 0000-0002-3637-953X
According to our database1,
André Pedersen
authored at least 15 papers
between 2019 and 2023.
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Bibliography
2023
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.
CoRR, 2023
CoRR, 2023
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.
CoRR, 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.
CoRR, 2023
2022
CoRR, 2022
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting.
CoRR, 2022
2021
CoRR, 2021
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images.
CoRR, 2021
Code-free development and deployment of deep segmentation models for digital pathology.
CoRR, 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms.
CoRR, 2021
FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology.
IEEE Access, 2021
Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture.
CoRR, 2020
2019
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST.
IEEE Access, 2019