A. Pedersen

发表

Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

M. Berger, A. Zwinderman, E. Mandonnet, 2022, Frontiers in Neurology.

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

Vibeke G. Dale, D. Bouget, I. Reinertsen, 2022, Frontiers in Medicine.

Train smarter, not harder: learning deep abdominal CT registration on scarce data

F. Lindseth, D. Bouget, T. Langø, 2022, ArXiv.

Sonopermeation Enhances Uptake and Therapeutic Effect of Free and Encapsulated Cabazitaxel.

C. Davies, R. Hansen, E. Sulheim, 2021, Ultrasound in medicine & biology.

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding pdf

Thomas Langø, David Bouget, André Pedersen, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Glioblastoma Surgery Imaging–Reporting and Data System: Validation and Performance of the Automated Segmentation Task

M. Berger, A. Zwinderman, E. Mandonnet, 2021, Cancers.

Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations

M. Berger, A. Zwinderman, E. Mandonnet, 2021, Cancers.

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology pdf

Ingerid Reinertsen, Erik Smistad, Andr'e Pedersen, 2020, IEEE Access.

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

A. Zwinderman, E. Mandonnet, F. Barkhof, 2023, Scientific reports.

Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation

F. Lindseth, D. Bouget, T. Langø, 2022, PLoS ONE.

Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms pdf

Ingerid Reinertsen, David Bouget, Andr'e Pedersen, 2021, Frontiers in Radiology.

Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture pdf

Ingerid Reinertsen, David Bouget, Andr'e Pedersen, 2020, Journal of medical imaging.

Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events

André Pedersen, Melissa Y. Yan, Lise Husby Høvik, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting

D. Bouget, O. Solheim, I. Reinertsen, 2023, ArXiv.

Teacher-student approach for lung tumor segmentation from mixed-supervised datasets

F. Lindseth, T. Langø, G. Kiss, 2022, PloS one.

Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

M. Berger, A. Zwinderman, E. Mandonnet, 2022, Frontiers in Neurology.

Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology

Ingerid Reinertsen, Erik Smistad, Ilya Belevich, 2021, Frontiers in Medicine.

High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST

Erik Smistad, Andreas Østvik, André Pedersen, 2019, IEEE Access.