◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Tim Lenz

9 papers hereh-index 7250 citations26 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBenchmarking foundation models as feature extractors for weakly-supervised computational pathology

13 citations · 22 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CV2025

Three-dimensional end-to-end deep learning for brain MRI analysis

Radhika Juglan, Marta Ligero, Zunamys I. Carrero +9

Deep learning (DL) methods are increasingly outperforming classical approaches in brain imaging, yet their generalizability across diverse imaging cohorts remains inadequately asse…

cs.CV2025

A deep learning framework for efficient pathology image analysis

Peter Neidlinger, Tim Lenz, Sebastian Foersch +24

Artificial intelligence (AI) has transformed digital pathology by enabling biomarker prediction from high-resolution whole-slide images (WSIs). However, current methods are computa…

◍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.