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researcher

Katja Steiger

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR1
  • cs.CV1
  • physics.ins-det1
ORCID 0000-0002-7269-5433

identity via Semantic Scholar / OpenAlex

activity
20142019
most citedIsotopic 32S/33S ratio as a diagnostic of presolar grains from novae

21 citations · 26 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2019★ 5 cited

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks

Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson +3

In this paper, we propose a novel interpretation method tailored to histological Whole Slide Image (WSI) processing. A Deep Neural Network (DNN), inspired by Bag-of-Features models…

physics.ins-det2017

Novel MPGD based Detectors of Single Photons in COMPASS RICH-1

J. Agarwala M. Alexeev, C. D. R. Azevedo, R. Birsa +33

COMPASS is a fixed target experiment at CERN SPS aimed to study Hadron Structure and Spectroscopy. Hadron Identification in the momentum range between 3 and 55 GeV/c is provided by…

astro-ph.SR2014★ 21 cited

Isotopic 32S/33S ratio as a diagnostic of presolar grains from novae

A. Parikh, K. Wimmer, T. Faestermann +8

Measurements of sulphur isotopes in presolar grains can help to identify the astrophysical sites in which these grains were formed. A more precise thermonuclear rate of the 33S(p,g…

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