Erik Smistad
Orcid: 0000-0002-7258-4709
According to our database1,
Erik Smistad
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion.
CoRR, 2024
IEEE Access, 2024
2023
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.
CoRR, 2023
2021
IEEE Trans. Medical Imaging, 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
FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology.
IEEE Access, 2021
Proceedings of the IWOCL'21: International Workshop on OpenCL, Munich Germany, April, 2021, 2021
2020
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography.
CoRR, 2020
2019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Trans. Medical Imaging, 2019
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST.
IEEE Access, 2019
2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2016
Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve.
IEEE Trans. Medical Imaging, 2016
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging, 2016
J. Real Time Image Process., 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
2015
Medical Image Anal., 2015
J. Real Time Image Process., 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
Automatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocks.
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015
2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014
GPU accelerated segmentation and centerline extraction of tubular structures from medical images.
Int. J. Comput. Assist. Radiol. Surg., 2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014