◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Johan Verjans

Australian Institute for Machine Learning, University of Adelaide

14 papers hereh-index 344.4k citations82 works total

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

author position
  • middle author12
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • eess.IV5
affiliations
  • Australian Institute for Machine Learning, University of Adelaide
  • Royal Adelaide Hospital, Adelaide, Australia
Homepage

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedCNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification

26 citations · 77 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 5 cited

Pairwise Relation Learning for Semi-supervised Gland Segmentation

Yutong Xie, Jianpeng Zhang, Zhibin Liao +3

Accurate and automated gland segmentation on histology tissue images is an essential but challenging task in the computer-aided diagnosis of adenocarcinoma. Despite their prevalenc…

cs.CV2020★ 5 cited

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy

Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu +3

Anomaly detection methods generally target the learning of a normal image distribution (i.e., inliers showing healthy cases) and during testing, samples relatively far from the lea…

◍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.