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researcher

I. Baltruschat

8 papers hereh-index 10892 citations15 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedSkin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

180 citations · 271 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

eess.IV2019★ 18 cited

Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs

André Gooßen, Hrishikesh Deshpande, Tim Harder +5

Pneumothorax is a critical condition that requires timely communication and immediate action. In order to prevent significant morbidity or patient death, early detection is crucial…

cs.CV2019★ 180 cited

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

Nils Gessert, Thilo Sentker, Frederic Madesta +5

Objective: This work addresses two key problems of skin lesion classification. The first problem is the effective use of high-resolution images with pretrained standard architectur…

eess.IV2019★ 1 cited

3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning

Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese +3

Magnetic particle imaging (MPI) data is commonly reconstructed using a system matrix acquired in a time-consuming calibration measurement. The calibration approach has the importan…

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