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researcher

Daniela P. Ladner

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1
ORCID 0000-0001-5526-8272
same name
  • Daniela P. Ladner — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCT Liver Segmentation via PVT-based Encoding and Refined Decoding

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

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…

eess.IV2024★ 1 cited

CT Liver Segmentation via PVT-based Encoding and Refined Decoding

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas +7

Accurate liver segmentation from CT scans is essential for effective diagnosis and treatment planning. Computer-aided diagnosis systems promise to improve the precision of liver di…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.