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Erik Smistad

Senior Research Scientist

Erik Smistad

Senior Research Scientist

Erik Smistad
Phone: 905 24 585
Email:
Department: Health Research
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/1904192/

Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display and process these images. There are several open-source platforms for...

Authors André Pedersen Marit Valla Anna Mary Bofin Javier Perez de Frutos Ingerid Reinertsen Erik Smistad
Year 2021
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1727669/

Deep convolutional neural networks have quickly become the standard for medical image analysis. Although there are many frameworks focusing on training neural networks, there are few that focus on high performance inference and visualization of medical images. Neural network inference requires an...

Authors Erik Smistad Andreas Østvik André Pedersen
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1618327/

Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central components, (i) classification of cardiac view, (ii) semantic partitioning of...

Authors Andreas Østvik Erik Smistad Torvald Espeland Erik Andreas Rye Berg Lasse Løvstakken
Year 2018
Type Academic article