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researcher

R. Eriksen

3 papers hereh-index 182.9k citations66 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedThe hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Medical needle tip tracking based on Optical Imaging and AI

Zhuoqi Cheng, Simon Lyck Bjært Sørensen, Mikkel Werge Olsen +2

Deep needle insertion to a target often poses a huge challenge, requiring a combination of specialized skills, assistive technology, and extensive training. One of the frequently e…

eess.IV2022★ 3 cited

The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

Mads J. Ahlebæk, Mads S. Peters, Wei-Chih Huang +3

We present a simple but novel hybrid approach to hyperspectral data cube reconstruction from computed tomography imaging spectrometry (CTIS) images that sequentially combines neura…

eess.IV2021

The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images

Wei-Chih Huang, Mads Svanborg Peters, Mads Juul Ahlebaek +3

A novel method, utilizing convolutional neural networks (CNNs), is proposed to reconstruct hyperspectral cubes from computed tomography imaging spectrometer (CTIS) images. Current…

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