◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Daniela P. Ladner

8 papers hereh-index 366 citations14 works total

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

author position
  • middle author6

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV2
  • cs.CY1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

Koushik Biswas, Ridal Pal, Shaswat Patel +10

Accurately segmenting different organs from medical images is a critical prerequisite for computer-assisted diagnosis and intervention planning. This study proposes a deep learning…

cs.CV2024

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs

Vandan Gorade, Onkar Susladkar, Gorkem Durak +7

Liver cirrhosis, a leading cause of global mortality, requires precise segmentation of ROIs for effective disease monitoring and treatment planning. Existing segmentation models of…

◍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.