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researcher

G. Dorffner

3 papers hereh-index 385.5k citations218 works total

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

author position
  • middle author2
  • last author1

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

fields
  • stat.ML2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedBayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

12 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification

Amirreza Mahbod, Gerald Schaefer, Chunliang Wang +3

Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions…

stat.ML2018★ 12 cited

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer +11

As societies around the world are ageing, the number of Alzheimer's disease (AD) patients is rapidly increasing. To date, no low-cost, non-invasive biomarkers have been established…

stat.ML2017★ 4 cited

Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease

Wolfgang Fruehwirt, Matthias Gerstgrasser, Pengfei Zhang +11

The diagnosis of Alzheimer's disease (AD) in routine clinical practice is most commonly based on subjective clinical interpretations. Quantitative electroencephalography (QEEG) mea…

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