David W. Kaczka

According to our database, David W. Kaczka authored at least 8 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah E. Gerard, David W. Kaczka, Amin Motahari, Eric A. Hoffman, Joseph M. Reinhardt, R. Graham Barr, Elsa D. Angelini, Andrew Laine

CoRR, 2021

2020

Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species.

Sarah E. Gerard, Jacob Herrmann, David W. Kaczka, Guido Musch, Ana Fernandez-Bustamante, Joseph M. Reinhardt

Medical Image Anal., 2020

System identification of proportional solenoid valve dynamics.

Bakir Hajdarevic, Jacob Herrmann, Andrea Fonseca Da Cruz, David W. Kaczka

Int. J. Model. Identif. Control., 2020

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

Sarah E. Gerard, Jacob Herrmann, Yi Xin, Kevin T. Martin, Emanuele Rezoagli, Davide Ippolito, Giacomo Bellani, Maurizio Cereda, Junfeng Guo, Eric A. Hoffman, David W. Kaczka, Joseph M. Reinhardt

CoRR, 2020

2018

Transfer Learning for Segmentation of Injured Lungs Using Coarse-to-Fine Convolutional Neural Networks.

Sarah E. Gerard, Jacob Herrmann, David W. Kaczka, Joseph M. Reinhardt

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Frequency-Selective Computed Tomography: Applications During Periodic Thoracic Motion.

Jacob Herrmann, Eric A. Hoffman, David W. Kaczka

IEEE Trans. Medical Imaging, 2017

Intratidal Overdistention and Derecruitment in the Injured Lung: A Simulation Study.

Reza Amini, Jacob Herrmann, David W. Kaczka

IEEE Trans. Biomed. Eng., 2017

2011

Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure.

Ashley A. Colletti, Reza Amini, David W. Kaczka

Comput. Biol. Medicine, 2011