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researcher

E. Smistad

10 papers hereh-index 252.8k citations94 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author3

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.CV1
  • cs.LG1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedDeep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

773 citations · 785 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 1 cited

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

André Pedersen, Marit Valla, Anna M. Bofin +3

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)…

eess.IV2020

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography

Sarah Leclerc, Erik Smistad, Andreas Østvik +9

Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of the heart. This step is still performed semi-automatically in clinical routine,…

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