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researcher

Nick Weiss

3 papers here

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

author position
  • middle author3

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

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedRobust, fast and accurate: a 3-step method for automatic histological image registration

12 citations · 12 across the 1 of their papers we have counts for

collaborators

3 papers

eess.IV2020

Virtual staining for mitosis detection in Breast Histopathology

Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin +4

We propose a virtual staining methodology based on Generative Adversarial Networks to map histopathology images of breast cancer tissue from H&E stain to PHH3 and vice versa. We us…

cs.CV2019★ 12 cited

Robust, fast and accurate: a 3-step method for automatic histological image registration

Johannes Lotz, Nick Weiss, Stefan Heldmann

We present a 3-step registration pipeline for differently stained histological serial sections that consists of 1) a robust pre-alignment, 2) a parametric registration computed on…

cs.CV2018

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Wouter Bulten, Péter Bándi, Jeffrey Hoven +7

Prostate cancer (PCa) is graded by pathologists by examining the architectural pattern of cancerous epithelial tissue on hematoxylin and eosin (H&E) stained slides. Given the impor…

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