Milan Sonka

Milan Sonka, Thomas L. Casavant, Brian J. Smith, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Sensitivity and specificity of 3-D texture analysis of lung parenchyma is better than 2-D for discrimination of lung pathology in stage 0 COPD

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, SPIE Medical Imaging.

Tissue characterization in intravascular ultrasound images

Milan Sonka, Xiangmin Zhang, Charles R. McKay, 1998, IEEE Transactions on Medical Imaging.

Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS)

Milan Sonka, Ipek Oguz, Olga Veksler, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Robust Matching Algorithm for Active Appearance Models

Milan Sonka, Horst Bischof, Georg Langs, 2005, Bildverarbeitung für die Medizin.

Knowledge-based segmentation of intrathoracic airways from multidimensional high-resolution CT images

Milan Sonka, Eric A. Hoffman, Gopal Sundaramoorthy, 1994, Medical Imaging.

Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation

Milan Sonka, Kálmán Palágyi, Juerg Tschirren, 2003, IPMI.

Signal processing in medical imaging and image-guided intervention

Milan Sonka, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Genetic algorithms in hypothesize-and-verify image interpretation

Milan Sonka, Steve M. Collins, Satish K. Tadikonda, 1993, Other Conferences.

Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2018, IEEE Transactions on Medical Imaging.

Segmentation and interpretation of MR brain images. An improved active shape model

Milan Sonka, Nicolae Duta, M. Sonka, 1998, IEEE Transactions on Medical Imaging.

Medical Imaging 2001: Image Processing

Milan Sonka, K. M. Hanson, M. Sonka, 2001 .

Segmentation of cardiac MR images: an active appearance model approach

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2000, Medical Imaging: Image Processing.

Ovarian ultrasound image analysis: follicle segmentation

Milan Sonka, Anthony Krivanek, M. Sonka, 1998, IEEE Transactions on Medical Imaging.

Cognitive Robot Education and Image Processing Research at the Czech Technical University of Prague

Milan Sonka, 1989, Artificial Intelligence in Higher Education.

Medical Imaging 2003: Image Processing

Milan Sonka, J. Michael Fitzpatrick, J. Fitzpatrick, 2003 .

3-D active appearance models: segmentation of cardiac MR and ultrasound images

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2002, IEEE Transactions on Medical Imaging.

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT‐Assessed Cardiac Allograft Vasculopathy Progression

Zhi Chen, Milan Sonka, Andreas Wahle, 2018, Medical Image Anal..

Determination of the absolute axial orientation of intracoronary ultrasound images in fusion with biplane angiography

Milan Sonka, Andreas Wahle, G. Prause, 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).

Quantitative analysis of circumferential plaque distribution in human coronary arteries in relation to local vessel curvature

Milan Sonka, Peter Stone, Andreas Wahle, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Automated analysis of cartilage morphology

Milan Sonka, Satyananda Kashyap, Yin Yin, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Supporting Glaucoma Structure/Function Research with a Unified OCT, Fundus, and Visual Field Database

Milan Sonka, Andreas Wahle, Mona K. Garvin, 2014 .

Multi-view active appearance models for consistent segmentation of multiple standard views: application to long and short-axis cardiac MR images

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, CARS.

Automated Estimation of Fluid Volume in 3D OCT Scans of Patients with CNV Due to AMD

Xinjian Chen, Milan Sonka, Kyungmoo Lee, 2012 .

Fully automated endocardial contour detection in time sequences of echocardiograms by three-dimensional active appearance models

Milan Sonka, Boudewijn P. F. Lelieveldt, Francisca Nijland, 2002, SPIE Medical Imaging.

Medical image segmentation: Automated design of border detection criteria from examples

Milan Sonka, Marek Brejl, M. Sonka, 1999, J. Electronic Imaging.

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Milan Sonka, Shervin Minaee, Rahele Kafieh, 2020, Medical Image Analysis.

Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head.

Milan Sonka, Kyungmoo Lee, Meindert Niemeijer, 2009, Investigative ophthalmology & visual science.

Robust simultaneous detection of coronary borders in complex images

Milan Sonka, Michael D. Winniford, Steve M. Collins, 1995, IEEE Trans. Medical Imaging.

Automated Detection of Small-Size Pulmonary Nodules Based on Helical CT Images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, IPMI.

Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2009, Int. J. Biomed. Imaging.

3D Slicer as an image computing platform for the Quantitative Imaging Network.

Milan Sonka, Sonia Pujol, Jayashree Kalpathy-Cramer, 2012, Magnetic resonance imaging.

Quantitative measurements in geometrically correct representations of coronary vessels in 3-D and 4-D

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Fast and memory-efficient LOGISMOS graph search for intraretinal layer segmentation of 3D macular OCT scans

Milan Sonka, Kyungmoo Lee, Michael D. Abràmoff, 2015, Medical Imaging.

Multiscale topo-morphologic opening of arteries and veins: a validation study on phantoms and CT imaging of pulmonary vessel casting of pigs

Milan Sonka, Eric A. Hoffman, Punam K. Saha, 2010, Medical Imaging.

Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement

Milan Sonka, Reinhard Beichel, Shanhui Sun, 2013, IEEE Transactions on Medical Imaging.

Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach

Milan Sonka, Christian Bauer, John M. Buatti, 2016, Medical physics.

Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images

Milan Sonka, Xiangmin Zhang, Charles R. McKay, 1997, Medical Imaging.

Segmentation Of MR Brain Images

Milan Sonka, Jussi Parkkinen, G. Cohen, 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

An Improved Active Shape Model: Handling Occlusion and Outliers

Milan Sonka, Nicolae Duta, 1997, ICIAP.

Intrathoracic airway wall detection using graph search and scanner PSF information

Milan Sonka, Eric A. Hoffman, Joseph M. Reinhardt, 1997, Medical Imaging.

Feature guided motion artifact reduction with structure-awareness in 4D CT images

Xiaodong Wu, Milan Sonka, Qi Song, 2011, CVPR 2011.

Doppler blood velocity assessment based on image analysis of video-tape-recorded image data

Milan Sonka, Juerg Tschirren, Ronald M. Lauer, 2001, SPIE Medical Imaging.

Interactive virtual endoscopy in coronary arteries based on multimodality fusion

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2004, IEEE Transactions on Medical Imaging.

Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

Xiaodong Wu, Milan Sonka, Mona Kathryn Garvin, 2009, IEEE Transactions on Medical Imaging.

Fuzzy logic approach to extraction of intrathoracic airway trees from three-dimensional CT images

Milan Sonka, Eric A. Hoffman, Wonkyu Park, 1996, Medical Imaging.

Cell Segmentation, Tracking, and Mitosis Detection Using Temporal Context

Milan Sonka, Michael A. Mackey, Fuxing Yang, 2005, MICCAI.

Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors

Junjie Bai, Xiaodong Wu, Milan Sonka, 2011, IPMI.

Cardiovascular MR Image Analysis

Milan Sonka, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, 2005 .

Automated Segmentation of the Retinal Vasculature Silhouettes in Isotropic 3D Optical Coherence Tomography Scans

Milan Sonka, Mona K. Garvin, Meindert Niemeijer, 2009 .

Validation of an enhanced knowledge-based method for segmentation and quantitative analysis of intrathoracic airway trees from three-dimensional CT images

Milan Sonka, Eric A. Hoffman, Wonkyu Park, 1995, Medical Imaging.

Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

Xiaodong Wu, Milan Sonka, Kang Li, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Linear discrete image transforms

Milan Sonka, Václav Hlaváč, Roger Boyle, 1993 .

Automated analysis of brachial ultrasound image sequences: early detection of cardiovascular disease via surrogates of endothelial function

Milan Sonka, Ronald M. Lauer, Weidong Liang, 2002, IEEE Transactions on Medical Imaging.

Quantitative coronary ultrasound: state of the art

Milan Sonka, Andreas Wahle, Jouke Dijkstra, 1998 .

Computer-based objective quantitative assessment of pulmonary parenchyma via x-ray CT

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 1998, Medical Imaging.

Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography

Xiaodong Wu, Milan Sonka, Young H. Kwon, 2014, IEEE Transactions on Medical Imaging.

Validation of Segmentability Index for Automated Prediction of Segmentation Reliability in SD-OCT Scans

Milan Sonka, Andreas Wahle, Kyungmoo Lee, 2015 .

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification pdf

Milan Sonka, Tianbao Yang, Yan Yan, 2020, ArXiv.

Airway tree segmentation using adaptive regions of interest

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2004, SPIE Medical Imaging.

Segmentation of cardiac MR volume data using 3D active appearance models

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2002, SPIE Medical Imaging.

Proceedings of the 19th international conference on Information Processing in Medical Imaging

Milan Sonka, Gary E. Christensen, G. Christensen, 2005 .

Computer Vision Approaches to Medical Image Analysis, Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006 Revised Papers

Milan Sonka, Reinhard Beichel, Cvamia, 2006, CVAMIA.

3D Active Shape and Appearance Models in Cardiac Image Analysis

Alejandro F. Frangi, Milan Sonka, Johan H. C. Reiber, 2006, Handbook of Mathematical Models in Computer Vision.

Volumetric Segmentation Using Shape Models In The Level Set Framework

Milan Sonka, Fuxing Yang, Jasjit S. Suri, 2007 .

Three-dimensional true color topographical analysis of the pulmonary airways

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2004, SPIE Medical Imaging.

3D segmentation of non-isolated pulmonary nodules in high resolution CT images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, SPIE Medical Imaging.

Optimal graph search based image segmentation for objects with complex topologies

Xiaodong Wu, Milan Sonka, Xiaomin Liu, 2009, Medical Imaging.

Effects of vessel geometry and catheter position on dose delivery in intracoronary brachytherapy

Milan Sonka, Andreas Wahle, John J. Lopez, 2003, IEEE Transactions on Biomedical Engineering.

Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh

Milan Sonka, Andreas Wahle, Yin Yin, 2010, Comput. Biol. Medicine.

Graph-based fluid segmentation from OCT images

Milan Sonka, Ipek Oguz, Li Zhang, 2016 .

Matching and anatomical labeling of human airway tree

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, IEEE Transactions on Medical Imaging.

Automated segmentation of intraretinal layers from spectral-domain macular OCT: reproducibility of layer thickness measurements

Milan Sonka, Mona K. Garvin, Kyungmoo Lee, 2011, Medical Imaging.

CorteXpert: A model‐based method for automatic renal cortex segmentation

Xinjian Chen, Milan Sonka, Ulas Bagci, 2017, Medical Image Anal..

Computerized detection of pulmonary nodules using a combination of 3D global and local shape information based on helical CT images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2006, SPIE Medical Imaging.

Anatomical Modeling with Fuzzy Implicit Surfaces: Application to Automated Localization of the Heart and Lungs in Thoracic MR Images

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 1999, IPMI.

Summary Quantitative coronary ultrasound: state of the art

Milan Sonka, Gerhard Koning, A. Wahle, 1998 .

Simultaneous detection of both coronary borders

Milan Sonka, Michael D. Winniford, Steve M. Collins, 1993, IEEE Trans. Medical Imaging.

Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface

Milan Sonka, Reinhard Beichel, Shanhui Sun, 2013, Comput. Medical Imaging Graph..

Curvature and torsion estimation for coronary-artery motion analysis

Milan Sonka, Andreas Wahle, Rubén Medina, 2004, SPIE Medical Imaging.

Segmentation of intrathoracic airway trees: a fuzzy logic approach

Milan Sonka, Eric A. Hoffman, Wonkyu Park, 1998, IEEE Transactions on Medical Imaging.

Relationship between plaque development and local hemodynamics in coronary arteries

Milan Sonka, Andreas Wahle, Sarah C. Vigmostad, 2005, SPIE Medical Imaging.

Virtual angioscopy in human coronary arteries with visualization of computational hemodynamics

Milan Sonka, Andreas Wahle, Krishnan B. Chandran, 2001, SPIE Medical Imaging.

Teaching digital image processing and computer vision in a quantitative imaging electronic classroom

Milan Sonka, 1998, Medical Imaging.

Object localization and border detection criteria design in edge-based image segmentation: automated learning from examples

Milan Sonka, Marek Brejl, M. Sonka, 2000, IEEE Transactions on Medical Imaging.

Segmentation of intravascular ultrasound images: a knowledge-based approach

Milan Sonka, Steve M. Collins, Maria Siebes, 1995, IEEE Trans. Medical Imaging.

Globally optimal segmentation of interacting surfaces with geometric constraints

Xiaodong Wu, Milan Sonka, Kang Li, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004 : revised selected papers

Ioannis A. Kakadiaris, Milan Sonka, Jan Kybic, 2004, eccv 2004.

Robust detection of lumen centerlines in complex coronary angiograms

Milan Sonka, Steve M. Collins, 1993, Electronic Imaging.

Improved segmentation of abnormal cervical nuclei using a graph-search based approach

Milan Sonka, Ling Zhang, Tianfu Wang, 2015, Medical Imaging.

A study investigating automated quantitative analyses of coronary multidetector computed tomography images

Milan Sonka, Andreas Wahle, Krishna Subramanyan, 2005, SPIE Medical Imaging.

Multi-view Active Appearance Models: Application to X-Ray LV Angiography and Cardiac MRI

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, IPMI.

RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI

Milan Sonka, Ipek Oguz, Honghai Zhang, 2014, Journal of Neuroscience Methods.

Automated Segmentation of the Retinal Vasculature in 3D Optical Coherence Tomography Images

Milan Sonka, Mona K. Garvin, Meindert Niemeijer, 2008 .

Hedgehog Shape Priors for Multi-Object Segmentation

Milan Sonka, Olga Veksler, Yuri Boykov, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Automated Detection of ELM Disruption Regions in 3D OCT Images

Milan Sonka, Xinjian Chen, Meindert Niemeijer, 2012 .

Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis

Milan Sonka, Anil K. Jain, Nicolae Duta, 1999, IPMI.

Four-dimensional coronary morphology and computational hemodynamics

Milan Sonka, Andreas Wahle, Krishnan B. Chandran, 2001, SPIE Medical Imaging.

Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy

Milan Sonka, Zhi Chen, Andreas Wahle, 2018, IEEE Transactions on Medical Imaging.

Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context

Zhi Chen, Milan Sonka, Ling Zhang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Data structures for image analysis

Milan Sonka, Václav Hlaváč, Roger Boyle, 1993 .

Plaque development, vessel curvature, and wall shear stress in coronary arteries assessed by X-ray angiography and intravascular ultrasound

Milan Sonka, Andreas Wahle, Sarah C. Vigmostad, 2006, Medical Image Anal..

Mitotic cell recognition with hidden Markov models

Milan Sonka, Michael A. Mackey, Fuxing Yang, 2004, Medical Imaging: Image-Guided Procedures.

Robust active appearance models and their application to medical image analysis

Milan Sonka, Horst Bischof, Franz Leberl, 2005, IEEE Transactions on Medical Imaging.

Automated Method for the Flattening of Optical Coherence Tomography Images

Milan Sonka, Mona K. Garvin, Michael D. Abràmoff, 2010 .

Computer-aided diagnosis via model-based shape analysis: cardiac

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, CARS.

Characterization and identification of spatial artifacts during 4D-CT imaging.

Milan Sonka, Xiaodong Wu, Dongfeng Han, 2011, Medical physics.

Automated segmentation of pulmonary vascular tree from 3D CT images

Milan Sonka, Eric A. Hoffman, Hidenori Shikata, 2004, SPIE Medical Imaging.

Automated design of optimal border detection criteria: learning from image segmentation examples

Milan Sonka, M. Breji, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

Automated analysis of Doppler ultrasound velocity flow diagrams

Milan Sonka, Juerg Tschirren, Ronald M. Lauer, 2001, IEEE Transactions on Medical Imaging.

Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation

Milan Sonka, Eric A. Hoffman, Kálmán Palágyi, 2004, ECCV Workshops CVAMIA and MMBIA.

4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans

Milan Sonka, Ipek Oguz, Kyungmoo Lee, 2016, Investigative ophthalmology & visual science.

Simultaneous searching of globally optimal interacting surfaces with shape priors

Xiaodong Wu, Yunlong Liu, Milan Sonka, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Computerized detection of pulmonary nodules using cellular neural networks in CT images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2004, SPIE Medical Imaging.

Signal Processing Society

Nico Karssemeijer, Milan Sonka, Daniel Rueckert, 2009 .

Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer

Milan Sonka, Michael D. Abràmoff, Hossein Rabbani, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Time-continuous segmentation of cardiac MR image sequences using active appearance motion models

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2001, SPIE Medical Imaging.

LOGISMOS—Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint

Xiaodong Wu, Milan Sonka, Xiangmin Zhang, 2010, IEEE Transactions on Medical Imaging.

Left-ventricle segmentation in real-time 3D echocardiography using a hybrid active shape model and optimal graph search approach

Milan Sonka, Andreas Wahle, Honghai Zhang, 2010, Medical Imaging.

Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm

Milan Sonka, Eric A. Hoffman, Joseph M. Reinhardt, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Reproducibility of SD-OCT-Based Ganglion-Cell-Complex-Layer Thickness in Early Glaucoma using Commercial and Custom Segmentation Algorithms

Milan Sonka, Andreas Wahle, Mona K. Garvin, 2013 .

Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map

Milan Sonka, Michael D. Abràmoff, Hossein Rabbani, 2012, Medical Image Anal..

Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography pdf

Milan Sonka, Michael D. Abràmoff, Hossein Rabbani, 2013, ArXiv.

Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method

Milan Sonka, Andreas Wahle, Li Zhang, 2015, Medical Imaging.

Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain

Milan Sonka, Michael D. Abràmoff, Hossein Rabbani, 2013, Int. J. Biomed. Imaging.

Optimal Multiple Surface Segmentation With Shape and Context Priors

Junjie Bai, Xiaodong Wu, Milan Sonka, 2013, IEEE Transactions on Medical Imaging.

Knowledge-based intrathoracic airway tree segmentation: physical and computer-model-based validation

Milan Sonka, Eric A. Hoffman, Jiang Qian, 1994, Medical Imaging.

Disease characterization of active appearance model coefficients

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, SPIE Medical Imaging.

A Fully Parallel 3D Thinning Algorithm and Its Applications

Milan Sonka, C. Min Ma, M. Sonka, 1996, Comput. Vis. Image Underst..

Improved tensor scale computation with application to medical image interpolation

Milan Sonka, Punam K. Saha, Ziyue Xu, 2011, Comput. Medical Imaging Graph..

Vascular MR segmentation: wall and plaque

Milan Sonka, Rudolf Stollberger, Gerhard Holzapfel, 2003, SPIE Medical Imaging.

Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach

Xiaodong Wu, Milan Sonka, Jui-Kai Wang, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Automated segmentation of the optic disc margin in 3-D optical coherence tomography images using a graph-theoretic approach

Milan Sonka, Mona K. Garvin, Kyungmoo Lee, 2009, Medical Imaging.

Automated initialization and automated design of border detection criteria in edge-based image segmentation

Milan Sonka, Marek Brejl, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Automated follicle analysis in ovarian ultrasound

Milan Sonka, Gordon E. Sarty, Roger A. Pierson, 1998, Medical Imaging.

Extending the XNAT archive tool for image and analysis management in ophthalmology research

Milan Sonka, Andreas Wahle, Mona K. Garvin, 2013, Medical Imaging.

Optimal Graph Search Based Segmentation of Airway Tree Double Surfaces Across Bifurcations

Xiaodong Wu, Milan Sonka, Eric A. Hoffman, 2013, IEEE Transactions on Medical Imaging.

Robust Active Appearance Model Matching

Milan Sonka, Horst Bischof, Franz Leberl, 2005, IPMI.

Parallel graph search: application to intraretinal layer segmentation of 3D macular OCT scans

Milan Sonka, Mona Kathryn Garvin, Kyungmoo Lee, 2012, Medical Imaging.

Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging

Milan Sonka, Eric A. Hoffman, Punam K. Saha, 2010, ISVC.

LOGISMOS-JEI: Segmentation using optimal graph search and just-enough interaction

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2020 .

Proceedings of the 19th International Conference on Information Processing in Medical Imaging, IPMI 2005. July 10-15, 2005. Glenwood Springs, Colorado, USA.

Milan Sonka, Gary E. Christensen, G. Christensen, 2005, Information processing in medical imaging : proceedings of the ... conference.

Three-dimensional ultrasound imaging of vessel wall for evaluating atherosclerosis risk and disease

Bo Wang, Milan Sonka, Ronald M. Lauer, 2002, SPIE Medical Imaging.

FilterNet: A Neighborhood Relationship Enhanced Fully Convolutional Network for Calf Muscle Compartment Segmentation pdf

Milan Sonka, Honghai Zhang, Zhi Chen, 2020, ArXiv.

SU‐GG‐I‐128: Characterization and Identification of Artifacts for Helical 4D CT Image

Milan Sonka, Xiaodong Wu, John E. Bayouth, 2010 .

Region merging in medical image segmentation and interpretation

Milan Sonka, Steve M. Collins, Satish K. Tadikonda, 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

Medical Imaging 2002 : image processing : 24-28 February 2002, San Diego, USA

Milan Sonka, J. Michael Fitzpatrick, J. Fitzpatrick, 2002 .

A new texture recognition method

Milan Sonka, M. Sonka, 1986 .

Quantitative analysis of vascular dimension and plaque composition in coronary multidetector computed tomography images

Milan Sonka, Andreas Wahle, Krishna Subramanyan, 2006, SPIE Medical Imaging.

The Layered Net Surface Problems in Discrete Geometry and Medical Image Segmentation

Xiaodong Wu, Milan Sonka, Kang Li, 2005, ISAAC.

The Layered Net Surface Problems in Discrete Geometry and Medical Image Segmentation

Xiaodong Wu, Milan Sonka, Kang Li, 2007, Int. J. Comput. Geom. Appl..

Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data

Zhi Chen, Milan Sonka, Ling Zhang, 2015, MICCAI.

Segmentation of intravascular ultrasound images: a machine learning approach mimicking human vision

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2004, CARS.

Estimating the actual dose delivered by intravascular coronary brachytherapy using geometrically correct 3D modeling

Milan Sonka, Andreas Wahle, John J. Lopez, 2003, SPIE Medical Imaging.

Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2005, FIMH.

Left ventricle myocardial border detection in three-dimensional intracardiac ultrasound images

Milan Sonka, Charles R. McKay, Weidong Liang, 1997, Medical Imaging.

A new osteophyte segmentation method with applications to an anterior cruciate ligament transection rabbit femur model via micro-CT imaging

Milan Sonka, Punam K. Saha, Guoyuan Liang, 2010, Medical Imaging.

Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei

Ronald M. Summers, Milan Sonka, Ling Zhang, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Effects of local geometry on the fluid dynamics of coronary artery segments with implanted stents

Milan Sonka, Sarah C. Vigmostad, Andreas Wahle, 2006 .

Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images

Xiaodong Wu, Milan Sonka, Michael D. Abràmoff, 2007, IPMI.

Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion

Milan Sonka, Andreas Wahle, Honghai Zhang, 2006, SPIE Medical Imaging.

Neural-network-based method for intrathoracic airway detection from three-dimensional CT images

Milan Sonka, Jun Woo Kim, 1995, Medical Imaging.

LOGISMOS-B for primates: primate cortical surface reconstruction and thickness measurement

Martin Styner, Milan Sonka, Ipek Oguz, 2015, Medical Imaging.

Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment

Xiaodong Wu, Milan Sonka, Dongfeng Han, 2010, MCV.

Computer Aided Liver Surgery Planning Based on Augmented Reality Techniques

Milan Sonka, Franz Leberl, Alexander Bornik, 2003, Bildverarbeitung für die Medizin.

Active appearance motion models for endocardial contour detection in time sequences of echocardiograms

Milan Sonka, Boudewijn P. F. Lelieveldt, Francisca Nijland, 2001, SPIE Medical Imaging.

Image Processing, Analysis and Machine Vision

Milan Sonka, Václav Hlavác, Roger D. Boyle, 1993, Springer US.

Quantitative analysis of pulmonary airway tree structures

Milan Sonka, Eric A. Hoffman, Kálmán Palágyi, 2006, Comput. Biol. Medicine.

Knowledge-based interpretation of MR brain images

Milan Sonka, Steve M. Collins, S. M. Collins, 1996, IEEE Trans. Medical Imaging.

"Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis "

Milan Sonka, J. Michael Fitzpatrick, J. Fitzpatrick, 2000 .

Optimal segmentation of the optic nerve head from stereo retinal images

Milan Sonka, Michael B. Merickel, Xiaodong Wu, 2006, SPIE Medical Imaging.

Cardiovascular image analysis: past, present and future

Milan Sonka, M. Sonka, 2001, CARS.

Rule-based detection of intrathoracic airway trees

Milan Sonka, Eric A. Hoffman, Wonkyu Park, 1996, IEEE Trans. Medical Imaging.

OCT image alignment using diffusion maps

Milan Sonka, Michael D. Abràmoff, Hossein Rabbani, 2012 .

COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network pdf

Milan Sonka, Shervin Minaee, Rahele Kafieh, 2020, ArXiv.

Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, IEEE Transactions on Medical Imaging.

An improved algorithm to compute tensor scale and its application to medical image interpolation

Milan Sonka, Punam K. Saha, Ziyue Xu, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Tree pruning strategy in automated detection of coronary trees in cineangiograms

Milan Sonka, Xiangmin Zhang, Steve M. Collins, 1995, Proceedings., International Conference on Image Processing.

Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2001, IPMI.

A novel multiscale topo-morphometric approach for separating arteries and veins via pulmonary CT imaging

Milan Sonka, Eric A. Hoffman, Punam K. Saha, 2009, Medical Imaging.

Left ventricle contour detection in x-ray angiograms using multi-view active appearance models

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, SPIE Medical Imaging.

Image processing analysis and machine vision [2nd ed.]

Milan Sonka, Václav Hlaváč, Roger Boyle, 1999 .

Automated Intraretinal Layer Segmentation of 3-D Macular OCT Scans Using a Multiscale Graph Search

Milan Sonka, Mona K. Garvin, Michael D. Abràmoff, 2010 .

Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate

Xiaodong Wu, Yunlong Liu, Milan Sonka, 2009, MICCAI.

3-D segmentation of retinal blood vessels in spectral-domain OCT volumes of the optic nerve head

Milan Sonka, Mona K. Garvin, Kyungmoo Lee, 2010, Medical Imaging.

Active Appearance - Motion Models for fully automated endocardial contour detection in time sequences of echocardiograms

Milan Sonka, Boudewijn P. F. Lelieveldt, Francisca Nijland, 2001, CARS.

Integrated system for quantitative analysis of coronary plaque via data fusion of biplane angiography and intravascular ultrasound

Milan Sonka, Andreas Wahle, Rubén Medina, 2003, CARS.

Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS

Zhi Chen, Milan Sonka, Andreas Wahle, 2016, SPIE Medical Imaging.

3D catheter path reconstruction from biplane angiograms

Milan Sonka, Petia Radeva, Guido P. M. Prause, 1998, Medical Imaging.

IVUS-based assessment of 3D morphology and virtual histology: Prediction of atherosclerotic plaque status and changes

Milan Sonka, Andreas Wahle, John J. Lopez, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Development of an automatic follicle isolation tool for ovarian ultrasonographic images

Milan Sonka, Gordon E. Sarty, Roger A. Pierson, 1997, Medical Imaging.

Assessment of plaque stability by means of high-resolution MRI and finite element analyses of local stresses and strains

Milan Sonka, Rudolf Stollberger, Gerhard Holzapfel, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Efficient cross-modality cardiac four-dimensional active appearance model construction

Milan Sonka, Honghai Zhang, Ademola K. Abiose, 2009, Medical Imaging.

Quantitative analysis of three-dimensional tubular tree structures

Milan Sonka, Kálmán Palágyi, Juerg Tschirren, 2003, SPIE Medical Imaging.

4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function

Milan Sonka, Andreas Wahle, Honghai Zhang, 2010, IEEE Transactions on Medical Imaging.

Active appearance motion model segmentation

Milan Sonka, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, 2001, Proceedings Second International Workshop on Digital and Computational Video.

Mosaicing and Multi-Field Layer Segmentation of 3D Retinal OCT

Milan Sonka, Xiaodong Wu, Mona K. Garvin, 2014 .

Repeatability of Automated OCT-based 24-2 Visual Threshold Estimationin Patients with Glaucoma

Milan Sonka, Mona K. Garvin, Young H. Kwon, 2015 .

Geodesic Graph Cut Based Retinal Fluid Segmentation in Optical Coherence Tomography

Milan Sonka, Michael D. Abràmoff, Hrvoje Bogunovic, 2015 .

Active appearance model segmentation in medical image analysis

Milan Sonka, Steven C. Mitchell, 2004 .

Active index model: a unique approach for regional quantitative morphometry in longitudinal and cross-sectional studies

Milan Sonka, Punam K. Saha, Gary E. Christensen, 2007, SPIE Medical Imaging.

Time continuous segmentation of cardiac MR images using Active Appearance Motion Models

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2001, CARS.

Edge-based image segmentation: machine learning from examples

Milan Sonka, M. Brejl, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Effect of mixing scanner types and reconstruction kernels on the characterization of lung parenchymal pathologies: emphysema, interstitial pulmonary fibrosis and normal non-smokers

Milan Sonka, Geoffrey McLennan, Ye Xu, 2006, SPIE Medical Imaging.

Accurate 3D reconstruction of tortuous coronary vessels using biplane angiography and intravascular ultrasound

Milan Sonka, Charles R. McKay, Guido P. M. Prause, 1997, Medical Imaging.

Computer Vision Approaches to Medical Image Analysis

Milan Sonka, Reinhard R. Beichel, M. Sonka, 2008 .

Branchpoint labeling and matching in human airway trees

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2003, SPIE Medical Imaging.

Total Retinal Thickness Using Iowa Reference Algorithm: Measurement Reproducibility in 5 SD-OCT Scanners

Milan Sonka, Andreas Wahle, Kyungmoo Lee, 2013 .

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative pdf

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2019, ArXiv.

Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization

Milan Sonka, Andreas Wahle, Li Zhang, 2015, IEEE Transactions on Medical Imaging.

Automated Segmentation of the Optic Canal in 3D Spectral-Domain OCT of the Optic Nerve Head (ONH) Using Retinal Vessel Suppression

Milan Sonka, Mona K. Garvin, Meindert Niemeijer, 2009 .

A New Osteophyte Segmentation Algorithm Using the Partial Shape Model and Its Applications to Rabbit Femur Anterior Cruciate Ligament Transection via Micro-CT Imaging

Milan Sonka, Punam K. Saha, Guoyuan Liang, 2011, IEEE Transactions on Biomedical Engineering.

Integrated System for Objective Assessment of Global and Regional Lung Structure

Milan Sonka, Geoffrey McLennan, Junfeng Guo, 2001, MICCAI.

Handbook of Medical Imaging - Processing and Analysis I.N

Milan Sonka, J. Michael Fitzpatrick, J. Fitzpatrick, 2001, IEEE Trans. Medical Imaging.

Visualization of human coronary arteries with quantification results from 3-D and 4-D computational hemodynamics based upon virtual endoscopy

Milan Sonka, Andreas Wahle, Krishnan B. Chandran, 2001, CARS.

Automated Nomenclature Labeling of the Bronchial Tree in 3D-CT Lung Images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2002, MICCAI.

Efficient searching of globally optimal and smooth multi-surfaces with shape priors

Xiaodong Wu, Milan Sonka, Lei Xu, 2012, Medical Imaging.

Liver segment approximation in CT data for surgical resection planning

Milan Sonka, Horst Bischof, Kálmán Palágyi, 2004, SPIE Medical Imaging.

Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

Milan Sonka, Joseph M. Reinhardt, Qi Song, 2011, IEEE Transactions on Medical Imaging.

Relationship between Intensity Based Image Quality Indices of Retinal SD-OCT and Performance of Automated Retinal Layer Segmentation

Milan Sonka, Caroline C. W. Klaver, Kyungmoo Lee, 2014 .

Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula

Milan Sonka, Gwénolé Quellec, Mona Kathryn Garvin, 2010, IEEE Transactions on Medical Imaging.

Robust Cortical Thickness Measurement with LOGISMOS-B

Milan Sonka, Ipek Oguz, 2014, MICCAI.

Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2001, IEEE Transactions on Medical Imaging.

Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis

Milan Sonka, Andreas Wahle, Honghai Zhang, 2009, Medical Image Anal..

3-D segmentation of the rim and cup in spectral-domain optical coherence tomography volumes of the optic nerve head

Milan Sonka, Mona K. Garvin, Kyungmoo Lee, 2009, Medical Imaging.

DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction pdf

Junjie Bai, Xin Wang, Milan Sonka, 2019, IPMI.

Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans

Milan Sonka, Honghai Zhang, Andreas Wahle, 2020, Medical Imaging: Image Processing.

A complete CAD system for pulmonary nodule detection in high resolution CT images

Milan Sonka, Geoffrey McLennan, Eric A. Hoffman, 2005, SPIE Medical Imaging.

Use of Varying Constraints in Optimal 3-D Graph Search for Segmentation of Macular Optical Coherence Tomography Images

Xiaodong Wu, Milan Sonka, Michael D. Abràmoff, 2007, MICCAI.

Knowledge-Based Approaches to Quantitative Medical Image Analysis and Image-Based Decision Making

Milan Sonka, 2008, FAW.

Three-Dimensional Segmentation of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search-Graph-Cut

Xinjian Chen, Milan Sonka, Kyungmoo Lee, 2012, IEEE Transactions on Medical Imaging.

The digitized image and its properties

Milan Sonka, Václav Hlaváč, Roger Boyle, 1993 .

Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network

Milan Sonka, Honghai Zhang, Laurie Gutmann, 2021, Comput. Medical Imaging Graph..

NeuriteNet: A Convolutional Neural Network for determining morphological differences in neurite growth

Milan Sonka, Marlan R. Hansen, Amy Lee, 2021, bioRxiv.

Assisted annotation in Deep LOGISMOS: Combining deep learning and graph optimization for simultaneous multi-compartment 3D segmentation of calf muscles on MRI

Milan Sonka, Honghai Zhang, Timothy R. Koscik, 2021 .

KCB-Net: A 3D Knee Cartilage and Bone Segmentation Network via Sparse Annotation

Xiaodong Wu, Milan Sonka, Hao Zheng, 2021 .

Automated segmentation of choroidal layers from 3-dimensional macular optical coherence tomography scans

Milan Sonka, Andreas Wahle, Todd E. Scheetz, 2021, Journal of Neuroscience Methods.

Comparison of retinal and choriocapillaris thicknesses following sitting to supine transition in healthy individuals and patients with age-related macular degeneration.

Milan Sonka, Michael D Abràmoff, Edwin M Stone, 2015, JAMA ophthalmology.

Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation

Milan Sonka, Christian Simader, Dominika Podkowinski, 2016, British Journal of Ophthalmology.

Regions of low endothelial shear stress are the sites where coronary plaque progresses and vascular remodelling occurs in humans: an in vivo serial study.

Milan Sonka, Andreas Wahle, Charles Maynard, 2007, European heart journal.

Three-Dimensional Analysis of SD OCT: Thickness Assessment of Six Macular Layers in Normal Subjects

Xiaodong Wu, Milan Sonka, Mona K. Garvin, 2008 .

Highly automated segmentation of arterial and venous trees from three-dimensional magnetic resonance angiography (MRA)

Milan Sonka, Robert M. Stefancik, 2004, The International Journal of Cardiovascular Imaging.

Reproducibility of coronary lumen, plaque, and vessel wall reconstruction and of endothelial shear stress measurements in vivo in humans

Milan Sonka, Andreas Wahle, Yerem Yeghiazarians, 2003, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

TCT-355 An Automated Computational Method for Quantification of Total Fibrous Cap Volume and Mean Fibrous Cap Thickness with Optical Coherence Tomography

Milan Sonka, Andreas Wahle, Tomas Kovarnik, 2015 .

Biplane X-ray angiograms, intravascular ultrasound, and 3D visualization of coronary vessels

Milan Sonka, Andreas Wahle, Kenneth R. Hoffmann, 2004, The International Journal of Cardiac Imaging.

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Milan Sonka, Shervin Minaee, Rahele Kafieh, 2020, Medical Image Analysis.

Accurate Volumetric Quantification of Coronary Lesions by Fusion between Intravascular Ultrasound and Biplane Angiography

Milan Sonka, Andreas Wahle, S. C. Mitchell, 2022 .

Increased Heart Rate After Heart Transplant Is Not Associated with Early Progression of Cardiac Allograft Vasculopathy (CAV) - A Prospective Study Using Highly Automatic Coronary Optical Coherence Tomography Segmentation Software in 3D

Milan Sonka, Tomas Kovarnik, Josef Kautzner, 2017 .

Selective loss of inner retinal layer thickness in type 1 diabetic patients with minimal diabetic retinopathy.

Milan Sonka, Michael D Abràmoff, M. Sonka, 2009, Investigative ophthalmology & visual science.

Prediction of treatment response from retinal OCT in patients with exudative age-related macular degeneration

Milan Sonka, Michael D. Abràmoff, Hrvoje Bogunovic, 2014 .

Automated Identification of Retinal Nerve Fiber Bundle Connectivity in 9-field SD-OCT

Milan Sonka, Andreas Wahle, Mona K. Garvin, 2016 .

Curvature correction of retinal OCTs using graph-based geometry detection

Milan Sonka, Hossein Rabbani, Michael D Abramoff, 2013, Physics in medicine and biology.

Measurement of coronary vasoreactivity in sheep using 64-slice multidetector computed tomography and 3-D segmentation

Milan Sonka, Eric A. Hoffman, Andreas Wahle, 2005 .

Segmentation of wall and plaque in in vitro vascular MR images

Milan Sonka, Rudolf Stollberger, Gerhard Holzapfel, 2003, The International Journal of Cardiovascular Imaging.

Three methods for accurate quantification of plaque volume in coronary arteries

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2003, The International Journal of Cardiovascular Imaging.

Vascular Imaging and Analysis

Milan Sonka, Weidong Liang, Alan H. Stolpen, 2000 .

Measurement of aortic intimal-medial thickness in adolescents and young adults.

Milan Sonka, Jeffrey D Dawson, M. Sonka, 2010, Ultrasound in medicine & biology.

Automated analysis of four-dimensional magnetic resonance images of the human aorta

Milan Sonka, Andreas Wahle, Thomas D. Scholz, 2010, The International Journal of Cardiovascular Imaging.

Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema.

Milan Sonka, Christian Simader, Sebastian M Waldstein, 2014, American journal of ophthalmology.

Accurate 3-D Fusion of Angiographic and Intravascular Ultrasound Data

Milan Sonka, Andreas Wahle, Guido P. M. Prause, 2022 .

Remodeling characteristics of minimally diseased coronary arteries are consistent along the length of the artery.

Milan Sonka, Andreas Wahle, Yerem Yeghiazarians, 2006, The American journal of cardiology.

Virtual histology evaluation of atherosclerosis regression during atorvastatin and ezetimibe administration: HEAVEN study.

Milan Sonka, Andreas Wahle, Pavel Martasek, 2011, Circulation journal : official journal of the Japanese Circulation Society.

Segmentation and quantitative analysis of intrathoracic airway trees from computed tomography images.

Milan Sonka, Geoffrey McLennan, Juerg Tschirren, 2005, Proceedings of the American Thoracic Society.

On-Site 3-D Reconstruction and Visualization of Intravascular Ultrasound based upon Fusion with Biplane Angiography

Milan Sonka, Andreas Wahle, Raimund Erbel, 2000 .

Effect of age on individual retinal layer thickness in normal eyes as measured with spectral-domain optical coherence tomography.

Milan Sonka, Michael D Abràmoff, Mona K Garvin, 2013, Investigative ophthalmology & visual science.

Relationships of retinal structure and humphrey 24-2 visual field thresholds in patients with glaucoma.

Milan Sonka, Kyungmoo Lee, Young H. Kwon, 2014, Investigative ophthalmology & visual science.

Distribution of damage to the entire retinal ganglion cell pathway: quantified using spectral-domain optical coherence tomography analysis in patients with glaucoma.

Milan Sonka, Kyungmoo Lee, Meindert Niemeijer, 2012, Archives of ophthalmology.

Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging.

Milan Sonka, Geoffrey McLennan, William Higgins, 2004, Physiological measurement.

A Comprehensive Method for Geometrically Correct 3-D Reconstruction of Coronary Arteries by Fusion of Intravascular Ultrasound and Biplane Angiography

Milan Sonka, Andreas Wahle, Guido P. M. Prause, 2022 .

Image-based biomarkers in clinical practice.

Milan Sonka, Thomas L Casavant, John E Bayouth, 2011, Seminars in radiation oncology.

Decreased retinal ganglion cell layer thickness in patients with type 1 diabetes.

Milan Sonka, Kyungmoo Lee, Michael D Abràmoff, 2010, Investigative ophthalmology & visual science.

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT.

Milan Sonka, Kyungmoo Lee, Michael D Abràmoff, 2015, Investigative ophthalmology & visual science.

Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography for central retinal artery occlusion

Milan Sonka, Xinjian Chen, Fei Shi, 2015, Scientific Reports.

Ultrasonics, Ferroelectrics, and Frequency Control

Nico Karssemeijer, Milan Sonka, Moshe Kam, 2011 .

Measurement , Evaluation and Analysis of Wall Thickness of 3 D Airway Trees across Bifurcations

Milan Sonka, Danny Z. Chen, Merryn Tawhai, 2009 .

A quantitative study of coronary vasculature in four dimensions

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

Reproducibility of SD-OCT-based ganglion cell-layer thickness in glaucoma using two different segmentation algorithms.

Milan Sonka, Kyungmoo Lee, Michael D Abràmoff, 2013, Investigative ophthalmology & visual science.

Coronary plaque analysis by multimodality fusion.

Milan Sonka, Andreas Wahle, 2005, Studies in health technology and informatics.

Coronary arteries: imaging, reconstruction, and fluid dynamic analysis.

Milan Sonka, Andreas Wahle, Mark E Olszewski, 2006, Critical reviews in biomedical engineering.

3 D Segmentation of Fluid-Associated Abnormalities in Retinal OCT : Probability Constrained Graph-Search – Graph-Cut A

Milan Sonka, Xinjian Chen, Kyungmoo Lee, 2022 .

Simultaneous Segmentation of Bladder and Prostate using Globally Optimal 3-D Graph Search Method

Xiaodong Wu, Milan Sonka, Qi Song, 2008 .

Pathologic Intimal Thickening Plaque Phenotype: Not as Innocent as Previously Thought. A Serial 3D Intravascular Ultrasound Virtual Histology Study.

Milan Sonka, Andreas Wahle, Tomas Kovarnik, 2017, Revista espanola de cardiologia.

Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

Milan Sonka, Nomdo M. Jansonius, Mona K. Garvin, 2011, Biomedical optics express.

Retinal neurodegeneration may precede microvascular changes characteristic of diabetic retinopathy in diabetes mellitus

Milan Sonka, Robert F Mullins, Michael David Abràmoff, 2016, Proceedings of the National Academy of Sciences.

Assessment of plaque composition using intravascular ultrasound

Milan Sonka, Xiangmin Zhang, M. Sonka, 1998 .

(905) – Should We Pharmacologically Modulate Renin-Aldosterone-Angiotensin System (RAAS) to Attenuate Cardiac Allograft Vasculopathy? A Prospective Study Using Highly Automated Coronary Optical Coherence Tomography Segmentation Software in 3D

Milan Sonka, Andreas Wahle, Tomas Kovarnik, 2017 .

Image segmentation and tissue characterization in intravascular ultrasound images

Milan Sonka, Xiangmin Zhang, 1996 .

Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models

Milan Sonka, Boudewijn P. F. Lelieveldt, Francisca Nijland, 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).

Automated measurement of uptake in cerebellum, liver, and aortic arch in full-body FDG PET/CT scans.

Milan Sonka, John M Buatti, Christian Bauer, 2012, Medical physics.

Reproducibility of diabetic macular edema estimates from SD-OCT is affected by the choice of image analysis algorithm.

Milan Sonka, Kyungmoo Lee, Meindert Niemeijer, 2013, Investigative ophthalmology & visual science.

(395) – Highly Automated Analysis of Intimal and Medial Thickness in Heart-Transplant Coronary OCT Facilitates Longitudinal Studies of CAV Progression

Milan Sonka, Andreas Wahle, Honghai Zhang, 2017 .

Computer-aided diagnosis via model-based shape analysis: cardiac MR and echo

Milan Sonka, Boudewijn P. F. Lelieveldt, Johan G. Bosch, 2003 .

Quantitative analysis of retinal layer optical intensities on three-dimensional optical coherence tomography.

Milan Sonka, Chao Jin, Xinjian Chen, 2013, Investigative ophthalmology & visual science.

Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma

Milan Sonka, Andreas Wahle, Mona K. Garvin, 2017, Investigative ophthalmology & visual science.

Human photoreceptor outer segments shorten during light adaptation.

Milan Sonka, Kyungmoo Lee, Michael D Abràmoff, 2013, Investigative ophthalmology & visual science.

Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT.

Milan Sonka, Xinjian Chen, Kyungmoo Lee, 2012, Investigative ophthalmology & visual science.

2-D pattern of nerve fiber bundles in glaucoma emerging from spectral-domain optical coherence tomography.

Milan Sonka, Kyungmoo Lee, Meindert Niemeijer, 2012, Investigative ophthalmology & visual science.

Limitations of the manual pullback in intracoronary ultrasound imaging

Milan Sonka, Andreas Wahle, Steven C. DeJong, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Adjustment of the retinal angle in SD-OCT of glaucomatous eyes provides better intervisit reproducibility of peripapillary RNFL thickness.

Milan Sonka, Kyungmoo Lee, Young H. Kwon, 2013, Investigative ophthalmology & visual science.

Virtual Liver Surgery Planning

Milan Sonka, Alexander Bornik, Reinhard Beichel, 2008 .

Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration.

Amir Sadeghipour, Milan Sonka, Thomas Schlegl, 2017, Investigative ophthalmology & visual science.

The prediction of coronary artery disease based on non-invasive examinations and heme oxygenase 1 polymorphism versus virtual histology.

Milan Sonka, Andreas Wahle, Pavel Martasek, 2013, The Journal of invasive cardiology.

LOGISMOS: A Family of Graph-Based Optimal Image Segmentation Methods

Xiaodong Wu, Milan Sonka, Ipek Oguz, 2016 .