◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

W. Lederer

2 papers hereh-index 9519 citations19 works total

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

author position
  • middle author2

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

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedRevealing Hidden Potentials of the q-Space Signal in Breast Cancer

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2018

Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images

Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt +8

End-to-end deep learning improves breast cancer classification on diffusion-weighted MR images (DWI) using a convolutional neural network (CNN) architecture. A limitation of CNN as…

cs.CV2017★ 11 cited

Revealing Hidden Potentials of the q-Space Signal in Breast Cancer

Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun +10

Mammography screening for early detection of breast lesions currently suffers from high amounts of false positive findings, which result in unnecessary invasive biopsies. Diffusion…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.