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researcher

M. Hofmarcher

3 papers here

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.CV1
  • eess.IV1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedPatch Refinement -- Localized 3D Object Detection

26 citations · 28 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.BM2020

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks

Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer +8

Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a large-scale virtual…

eess.IV2019★ 2 cited

Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images

Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher +5

Diagnosing basal cell carcinomas (BCC), one of the most common cutaneous malignancies in humans, is a task regularly performed by pathologists and dermato-pathologists. Improving h…

cs.CV2019★ 26 cited

Patch Refinement -- Localized 3D Object Detection

Johannes Lehner, Andreas Mitterecker, Thomas Adler +3

We introduce Patch Refinement a two-stage model for accurate 3D object detection and localization from point cloud data. Patch Refinement is composed of two independently trained V…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.