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researcher

T. Schaeffter

9 papers hereh-index 6014.6k citations519 works total

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

author position
  • middle author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.LG2
  • cs.CV1
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedSpatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data

87 citations · 253 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.LG2020

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

Nils Strodthoff, Patrick Wagner, Tobias Schaeffter +1

Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by automatic interpretation algorithms. The progress in the…

eess.IV2020

Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI

Andreas Kofler, Marc Dewey, Tobias Schaeffter +2

In this work, we propose an iterative reconstruction scheme (ALONE - Adaptive Learning Of NEtworks) for 2D radial cine MRI based on ground truth-free unsupervised learning of shall…

eess.IV2020★ 38 cited

Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction

Andreas Kofler, Markus Haltmeier, Tobias Schaeffter +4

In this paper we present a generalized Deep Learning-based approach for solving ill-posed large-scale inverse problems occuring in medical image reconstruction. Recently, Deep Lear…

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