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researcher

David W. Kaczka

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

fields
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedRecursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2021★ 9 cited

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

Xinzi He, Jia Guo, Xuzhe Zhang +9

Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…

eess.IV2020

CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network

Sarah E. Gerard, Jacob Herrmann, Yi Xin +9

The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis…

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