Neural networks in 3D medical scan visualization - Dzenan Zukic; Andreas Elsner; Zikrija Avdagic; Gitta Domik (CoRR, 2008)

A Neural Network Classifier of Volume Datasets - Dzenan Zukic; Christof Rezk-Salama; Andreas Kolb 001 (CoRR, 2009)

Preoperative volume determination for pituitary adenoma. - Dzenan Zukic; Jan Egger; Miriam H. A. Bauer; Daniela Kuhnt; Barbara Carl; Bernd Freisleben; Andreas Kolb 001; Christopher Nimsky (Computer-Aided Diagnosis, 2011)

Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach - Dzenan Zukic; Jan Egger; Miriam Helen Anna Bauer; Daniela Kuhnt; Barbara Carl; Bernd Freisleben; Andreas Kolb 001; Christopher Nimsky (CoRR, 2011)

A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data - Jan Egger; Dzenan Zukic; Miriam Helen Anna Bauer; Daniela Kuhnt; Barbara Carl; Bernd Freisleben; Andreas Kolb 001; Christopher Nimsky (CoRR, 2011)

Segmentation of Vertebral Bodies in MR Images. - Dzenan Zukic; Ales Vlasák; Thomas Dukatz; Jan Egger; Daniel Horínek; Christopher Nimsky; Andreas Kolb 001 (VMV, 2012)

Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape - Jan Egger; Tina Kapur; Thomas Dukatz; Malgorzata Kolodziej; Dzenan Zukic; Bernd Freisleben; Christopher Nimsky (CoRR, 2012)

Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method. - Jan Egger; Dzenan Zukic; Bernd Freisleben; Andreas Kolb 001; Christopher Nimsky (Comput. Methods Programs Biomed., 2013)

Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images. - Dzenan Zukic; Ales Vlasák; Jan Egger; Daniel Horínek; Christopher Nimsky; Andreas Kolb 001 (Comput. Graph. Forum, 2014)

Ultrasound-Guided Navigation System for Orthognathic Surgery. - Beatriz Paniagua; Dzenan Zukic; Ricardo Ortiz; Stephen R. Aylward; Brent Golden; Tung Nguyen; Andinet Enquobahrie (AE-CAI, 2015)

SlicerPET: A workflow based software module for PET/CT guided needle biopsy. - Dzenan Zukic; Julien Finet; Emmanuel Wilson; Filip Banovac; Giuseppe Esposito; Kevin Cleary; Andinet Enquobahrie (CoRR, 2015)

An efficient inflation method for segmentation of medical 3D images. - Dzenan Zukic (2015)

Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis. - Antonio R. Porras; Dzenan Zukic; Andinet Enquobahrie; Gary F. Rogers; Marius George Linguraru (CLIP@MICCAI, 2016)

PET/CT-guided biopsy with respiratory motion correction. - Ruoqiao Zhang; Dzenan Zukic; Darrin W. Byrd; Andinet Enquobahrie; Adam M. Alessio; Kevin Cleary; Filip Banovac; Paul E. Kinahan (Int. J. Comput. Assist. Radiol. Surg., 2019)

User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. - Paul A. Yushkevich; Artem Pashchinskiy; Ipek Oguz; Suyash Mohan; J. Eric Schmitt; Joel M. Stein; Dzenan Zukic; Jared Vicory; Matthew McCormick 001; Natalie Yushkevich; Nadav Schwartz; Yang Gao 031; et al. (Neuroinformatics, 2019)

Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series. - Roman Grothausmann; Dzenan Zukic; Matt McCormick 001; Christian Mühlfeld; Lars Knudsen (WBIR, 2020)

An open-source solution for shape modeling and analysis of objects of challenging topologies. - Jared Vicory; David Allemang; Dzenan Zukic; Jack Prothero; Matthew McCormick 001; Beatriz Paniagua (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. - Anastasia Butskova; Rain Juhl; Dzenan Zukic; Aashish Chaudhary; Kilian M. Pohl; Qingyu Zhao (PRIME@MICCAI, 2021)