◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

B. Ginneken

32 papers hereh-index 5832.7k citations250 works total

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

author position
  • middle author17
  • last author10

Across the 27 of 32 papers where every author was matched, so the position is known.

fields
  • eess.IV16
  • cs.CV14
  • cs.GR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedA large annotated medical image dataset for the development and evaluation of segmentation algorithms

718 citations · 795 across the 13 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

3 papers · 2 filters

cs.CV2018

GANs for Medical Image Analysis

Salome Kazeminia, Christoph Baur, Arjan Kuijper +4

Generative Adversarial Networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical…

cs.CV2018

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong +1

Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic analysis of the spine, such as detection of vertebral compression fractures or…

cs.CV2018

Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR

Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing +4

Ventricular volume and its progression are known to be linked to several brain diseases such as dementia and schizophrenia. Therefore accurate measurement of ventricle volume is vi…

◍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.