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B. Rauchmann

3 papers hereh-index 313.4k citations189 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.LG1
  • eess.IV1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedImproving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2026

Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4

Numerous studies have analyzed the use of hybrid quantum-classical convolutional neural networks as a promising alternative to classical deep learning. However, network components…

cs.LG2026

Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data

Boris-Stephan Rauchmann, Jonathan Laib, Buse Ercik +2

Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for assessing disease severity, yet current clinical staging remains time-intensive…

eess.IV2020★ 5 cited

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease

Martin Dyrba, Moritz Hanzig, Slawek Altenstein +37

Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI)…

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