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ORCIDMilan Sonka
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- affiliation: University of Iowa, Iowa City, IA, USA
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2020 – today
- 2024
[c151]Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu:
Surf-CDM: Score-Based Surface Cold-Diffusion Model for Medical Image Segmentation. ISBI 2024: 1-5- [c150]Yaopeng Peng, Hongxiao Wang, Milan Sonka, Danny Z. Chen:
PHG-Net: Persistent Homology Guided Medical Image Classification*. WACV 2024: 7568-7577 - [i21]Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu:
Denoising Diffusions in Latent Space for Medical Image Segmentation. CoRR abs/2407.12952 (2024) - [i20]Yaopeng Peng, Zhi Chen, Andreas Wahle, Tomas Kovarnik, Milan Sonka, Danny Z. Chen:
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images. CoRR abs/2409.09188 (2024) - [i19]Yaopeng Peng, Milan Sonka, Danny Z. Chen:
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition. CoRR abs/2409.09216 (2024) - 2023
- [j79]Joseph T. Vecchi
, Sean Mullan, Josue A. Lopez, Madeline Rhomberg, Annamarie Yamamoto, Annabelle Hallam, Amy Lee, Milan Sonka, Marlan R. Hansen:
Sensitivity of CNN image analysis to multifaceted measurements of neurite growth. BMC Bioinform. 24(1): 320 (2023) - [j78]Fahim A. Zaman, Lichun Zhang, Honghai Zhang, Milan Sonka, Xiaodong Wu:
Segmentation quality assessment by automated detection of erroneous surface regions in medical images. Comput. Biol. Medicine 164: 107324 (2023) - [c149]Fahim Ahmed Zaman, Xiaodong Wu, Weiyu Xu, Milan Sonka, Raghuraman Mudumbai:
Trust, but Verify: Robust Image Segmentation using Deep Learning. ACSSC 2023: 1070-1074 - [c148]Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang:
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. ICML 2023: 43205-43227 - [i18]Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang:
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR abs/2305.08040 (2023) - [i17]Fahim Ahmed Zaman, Xiaodong Wu, Weiyu Xu, Milan Sonka, Raghuraman Mudumbai:
Trust, but Verify: Robust Image Segmentation using Deep Learning. CoRR abs/2310.16999 (2023) - [i16]Yaopeng Peng, Hongxiao Wang, Milan Sonka, Danny Z. Chen:
PHG-Net: Persistent Homology Guided Medical Image Classification. CoRR abs/2311.17243 (2023) - [i15]Yaopeng Peng, Milan Sonka, Danny Z. Chen:
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation. CoRR abs/2311.17791 (2023) - [i14]Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu:
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation. CoRR abs/2312.12649 (2023) - 2022
- [j77]Yaopeng Peng, Hao Zheng, Lichun Zhang, Milan Sonka, Danny Z. Chen:
CMC-Net: 3D calf muscle compartment segmentation with sparse annotation. Medical Image Anal. 79: 102460 (2022) - [j76]Yaopeng Peng, Hao Zheng, Peixian Liang, Lichun Zhang, Fahim A. Zaman, Xiaodong Wu, Milan Sonka, Danny Z. Chen:
KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation. Medical Image Anal. 82: 102574 (2022) - [c147]Nam H. Le, Edgar A. Samaniego, Ashrita Raghuram, Sebastián Sánchez, Honghai Zhang, Milan Sonka:
Semi-automated intracranial aneurysm segmentation and neck detection. Medical Imaging: Image Processing 2022 - [c146]Sean Mullan, Milan Sonka:
Visual attribution for deep learning segmentation in medical imaging. Medical Imaging: Image Processing 2022 - 2021
- [j75]Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka:
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network. Comput. Medical Imaging Graph. 87: 101835 (2021) - [c145]Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang:
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. ICCV 2021: 3020-3029 - 2020
- [j74]Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning. Medical Image Anal. 65: 101794 (2020) - [c144]Kyungmoo Lee, Elliott H. Sohn, Honghai Zhang, Alexis K. Warren, Andreas Wahle, S. Scott Whitmore, Milan Sonka, Michael D. Abràmoff:
Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans. Medical Imaging: Image Processing 2020: 113130B - [i13]Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning. CoRR abs/2004.09363 (2020) - [i12]Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka:
FilterNet: A Neighborhood Relationship Enhanced Fully Convolutional Network for Calf Muscle Compartment Segmentation. CoRR abs/2006.11930 (2020) - [i11]Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka:
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net. CoRR abs/2007.12303 (2020) - [i10]Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka:
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network. CoRR abs/2009.05096 (2020) - [i9]Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang:
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. CoRR abs/2012.03173 (2020)
2010 – 2019
- 2019
- [c143]Zhihui Guo, Junjie Bai, Yi Lu, Xin Wang, Kunlin Cao, Qi Song, Milan Sonka, Youbing Yin:
DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction. IPMI 2019: 441-453 - [i8]Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka:
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative. CoRR abs/1903.03927 (2019) - [i7]Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka:
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. CoRR abs/1903.03929 (2019) - [i6]Satyananda Kashyap, Honghai Zhang, Milan Sonka:
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative. CoRR abs/1903.04027 (2019) - [i5]Zhihui Guo, Junjie Bai, Yi Lu, Xin Wang, Kunlin Cao, Qi Song, Milan Sonka, Youbing Yin:
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction. CoRR abs/1903.10481 (2019) - 2018
- [j73]Zhi Chen, Michal Pazdernik, Honghai Zhang, Andreas Wahle, Zhihui Guo, Helena Bedanova, Josef Kautzner, Vojtech Melenovsky, Tomas Kovarnik, Milan Sonka:
Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. Medical Image Anal. 50: 95-105 (2018) - [j72]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy. IEEE Trans. Medical Imaging 37(1): 151-161 (2018) - [j71]Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka:
Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative. IEEE Trans. Medical Imaging 37(5): 1103-1113 (2018) - [c142]Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI 2018: 1230-1233 - [i4]Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR abs/1801.08599 (2018) - 2017
- [j70]Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka:
Graph-based segmentation of abnormal nuclei in cervical cytology. Comput. Medical Imaging Graph. 56: 38-48 (2017) - [j69]Mohammad Saleh Miri, Michael D. Abràmoff, Young H. Kwon, Milan Sonka, Mona Kathryn Garvin:
A machine-learning graph-based approach for 3D segmentation of Bruch's membrane opening from glaucomatous SD-OCT volumes. Medical Image Anal. 39: 206-217 (2017) - [j68]Dehui Xiang, Ulas Bagci, Chao Jin, Fei Shi, Weifang Zhu, Jianhua Yao, Milan Sonka, Xinjian Chen:
CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017) - [c141]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS). CVPR 2017: 4981-4989 - [c140]Yusung Kim, Kaustubh Anil Patwardhan, Reinhard R. Beichel, Brian J. Smith, Christopher Mart, Kristin A. Plichta, Tangel Chang, Milan Sonka, Michael M. Graham, Vince Magnotta, Thomas L. Casavant, Junyi Xia, John M. Buatti:
Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms. EMBC 2017: 3409-3412 - [c139]Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao:
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI 2017: 406-409 - [c138]Zhihui Guo, Satyananda Kashyap, Milan Sonka, Ipek Oguz:
Machine learning in a graph framework for subcortical segmentation. Medical Imaging: Image Processing 2017: 101330H - [i3]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient optimization for Hierarchically-structured Interacting Segments (HINTS). CoRR abs/1703.10530 (2017) - 2016
- [j67]Milan Sonka, Michael D. Abràmoff:
Quantitative analysis of retinal OCT. Medical Image Anal. 33: 165-169 (2016) - [c137]Hossam N. Isack, Olga Veksler, Milan Sonka, Yuri Boykov:
Hedgehog Shape Priors for Multi-Object Segmentation. CVPR 2016: 2434-2442 - [c136]Satyananda Kashyap, Ipek Oguz, Milan Sonka:
Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative. ISBI 2016: 651-655 - [c135]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context. ISBI 2016: 1354-1358 - [c134]Zhi Chen, Andreas Wahle, Ling Zhang, Tomas Kovarnik, John J. Lopez, Milan Sonka:
Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880Y - [c133]Mohammad Saleh Miri, Ali Ghayoor, Hans J. Johnson, Milan Sonka:
Comparative study of multimodal intra-subject image registration methods on a publicly available database. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881Z - [c132]Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka:
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. MICCAI (2) 2016: 344-351 - [c131]Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka:
Globally Optimal Label Fusion with Shape Priors. MICCAI (2) 2016: 538-546 - [c130]Ipek Oguz, Li Zhang, Michael D. Abràmoff, Milan Sonka:
Optimal retinal cyst segmentation from OCT images. Medical Imaging: Image Processing 2016: 97841E - 2015
- [j66]Fei Shi, Xinjian Chen, Heming Zhao, Weifang Zhu, Dehui Xiang, Enting Gao, Milan Sonka, Haoyu Chen:
Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments. IEEE Trans. Medical Imaging 34(2): 441-452 (2015) - [j65]Xiayu Xu, Kyungmoo Lee, Li Zhang, Milan Sonka, Michael D. Abràmoff:
Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data. IEEE Trans. Medical Imaging 34(7): 1616-1623 (2015) - [j64]Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka:
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization. IEEE Trans. Medical Imaging 34(12): 2550-2561 (2015) - [c129]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data. MICCAI (2) 2015: 603-610 - [c128]Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka:
Improved segmentation of abnormal cervical nuclei using a graph-search based approach. Medical Imaging: Digital Pathology 2015: 94200W - [c127]Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka:
Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method. Medical Imaging: Image Processing 2015: 94131I - [c126]Kyungmoo Lee, Li Zhang, Michael D. Abràmoff, Milan Sonka:
Fast and memory-efficient LOGISMOS graph search for intraretinal layer segmentation of 3D macular OCT scans. Medical Imaging: Image Processing 2015: 94133X - [c125]Ipek Oguz, Martin Styner, Mar Sanchez, Yundi Shi, Milan Sonka:
LOGISMOS-B for primates: primate cortical surface reconstruction and thickness measurement. Medical Imaging: Image Processing 2015: 941313 - 2014
- [j63]Ipek Oguz, Milan Sonka:
LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain. IEEE Trans. Medical Imaging 33(6): 1220-1235 (2014) - [j62]Hrvoje Bogunovic, Milan Sonka, Young H. Kwon, Pavlina Kemp, Michael D. Abràmoff, Xiaodong Wu:
Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography. IEEE Trans. Medical Imaging 33(12): 2242-2253 (2014) - [c124]Abhay Shah, Jui-Kai Wang, Mona Kathryn Garvin, Milan Sonka, Xiaodong Wu:
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. ISBI 2014: 1405-1408 - [c123]Ipek Oguz, Milan Sonka:
Robust Cortical Thickness Measurement with LOGISMOS-B. MICCAI (1) 2014: 722-730 - 2013
- [j61]Shanhui Sun, Milan Sonka, Reinhard Beichel:
Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface. Comput. Medical Imaging Graph. 37(1): 15-27 (2013) - [j60]Hossein Rabbani, Milan Sonka, Michael D. Abràmoff:
Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain. Int. J. Biomed. Imaging 2013: 417491:1-417491:23 (2013) - [j59]Rahele Kafieh, Hossein Rabbani, Michael D. Abràmoff, Milan Sonka:
Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map. Medical Image Anal. 17(8): 907-928 (2013) - [j58]Qi Song, Junjie Bai, Mona Kathryn Garvin, Milan Sonka, John M. Buatti, Xiaodong Wu:
Optimal Multiple Surface Segmentation With Shape and Context Priors. IEEE Trans. Medical Imaging 32(2): 376-386 (2013) - [j57]Xiaomin Liu, Danny Z. Chen, Merryn H. Tawhai, Xiaodong Wu, Eric A. Hoffman, Milan Sonka:
Optimal Graph Search Based Segmentation of Airway Tree Double Surfaces Across Bifurcations. IEEE Trans. Medical Imaging 32(3): 493-510 (2013) - [j56]Shanhui Sun, Milan Sonka, Reinhard Beichel:
Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement. IEEE Trans. Medical Imaging 32(8): 1536-1549 (2013) - [c122]Rahele Kafieh, Hajar Danesh, Hossein Rabbani, Michael Abramoff, Milan Sonka:
Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer. ICASSP 2013: 1075-1079 - [c121]Rahele Kafieh, Hossein Rabbani, Michael Abramoff, Milan Sonka:
Intra-retinal layer segmentation of optical coherence tomography using diffusion map. ICASSP 2013: 1080-1084 - [c120]Satyananda Kashyap, Yin Yin, Milan Sonka:
Automated analysis of cartilage morphology. ISBI 2013: 1300-1303 - [c119]Shanhui Sun, Milan Sonka, Reinhard Beichel:
Graph-based 4D lung segmentation in CT images with expert-guided computer-aided refinement. ISBI 2013: 1312-1315 - [i2]Rahele Kafieh, Hossein Rabbani, Fedra Hajizadeh, Michael D. Abràmoff, Milan Sonka:
Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography. CoRR abs/1312.3199 (2013) - 2012
- [j55]Xinjian Chen, Meindert Niemeijer, Li Zhang, Kyungmoo Lee, Michael D. Abràmoff, Milan Sonka:
Three-Dimensional Segmentation of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search-Graph-Cut. IEEE Trans. Medical Imaging 31(8): 1521-1531 (2012) - [c118]Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
Efficient searching of globally optimal and smooth multisurfaces with shape priors. Medical Imaging: Image Processing 2012: 83140N - [c117]Bhavna Josephine Antony, Michael D. Abràmoff, Milan Sonka, Young H. Kwon, Mona Kathryn Garvin:
Incorporation of texture-based features in optimal graph-theoretic approach with application to the 3D segmentation of intraretinal surfaces in SD-OCT volumes. Medical Imaging: Image Processing 2012: 83141G - [c116]Kyungmoo Lee, Michael D. Abràmoff, Mona Kathryn Garvin, Milan Sonka:
Parallel graph search: application to intraretinal layer segmentation of 3-D macular OCT scans. Medical Imaging: Image Processing 2012: 83141H - [c115]Meindert Niemeijer, Kyungmoo Lee, Mona Kathryn Garvin, Michael D. Abràmoff, Milan Sonka:
Registration of 3D spectral OCT volumes combining ICP with a graph-based approach. Medical Imaging: Image Processing 2012: 83141A - [i1]Rahele Kafieh, Hossein Rabbani, Michael D. Abràmoff, Milan Sonka:
Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map. CoRR abs/1210.0310 (2012) - 2011
- [j54]Ziyue Xu, Milan Sonka, Punam K. Saha:
Improved tensor scale computation with application to medical image interpolation. Comput. Medical Imaging Graph. 35(1): 64-80 (2011) - [j53]Punam K. Saha, Guoyuan Liang, Jacob M. Elkins, Alexandre Coimbra, Le Thi Duong, Donald S. Williams, Milan Sonka:
A New Osteophyte Segmentation Algorithm Using the Partial Shape Model and Its Applications to Rabbit Femur Anterior Cruciate Ligament Transection via Micro-CT Imaging. IEEE Trans. Biomed. Eng. 58(8): 2212-2227 (2011) - [j52]Xiaodong Wu, Xin Dou, Andreas Wahle, Milan Sonka:
Region Detection by Minimizing Intraclass Variance With Geometric Constraints, Global Optimality, and Efficient Approximation. IEEE Trans. Medical Imaging 30(3): 814-827 (2011) - [j51]Xiayu Xu, Meindert Niemeijer, Qi Song, Milan Sonka, Mona Kathryn Garvin, Joseph M. Reinhardt, Michael D. Abràmoff:
Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach. IEEE Trans. Medical Imaging 30(6): 1184-1191 (2011) - [c114]Dongfeng Han, John E. Bayouth, Qi Song, Sudershan Bhatia, Milan Sonka, Xiaodong Wu:
Feature guided motion artifact reduction with structure-awareness in 4D CT images. CVPR 2011: 1057-1064 - [c113]Milan Sonka, Richard W. Downe, Justin W. Garvin, John J. Lopez, Tomas Kovarnik, Andreas Wahle:
IVUS-based assessment of 3D morphology and virtual histology: Prediction of atherosclerotic plaque status and changes. EMBC 2011: 6647-6650 - [c112]Milan Sonka:
Signal processing in medical imaging and image-guided intervention. ICASSP 2011: 5756-5759 - [c111]Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu:
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors. IPMI 2011: 61-72 - [c110]Lei Xu, Branislav Stojkovic, Yongding Zhu, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces. IPMI 2011: 208-220 - [c109]Dongfeng Han, John E. Bayouth, Qi Song, Aakant Taurani, Milan Sonka, John M. Buatti, Xiaodong Wu:
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method. IPMI 2011: 245-256 - [c108]Matt Gibson, Dongfeng Han, Milan Sonka, Xiaodong Wu:
Maximum Weight Digital Regions Decomposable into Digital Star-Shaped Regions. ISAAC 2011: 724-733 - [c107]Panfang Hua, Qi Song, Milan Sonka, Eric A. Hoffman, Joseph M. Reinhardt:
Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm. ISBI 2011: 2072-2075 - [c106]Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness. MLMI 2011: 308-316 - 2010
- [j50]Kyungmoo Lee, Ryan K. Johnson, Yin Yin, Andreas Wahle, Mark E. Olszewski, Thomas D. Scholz, Milan Sonka:
Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh. Comput. Biol. Medicine 40(3): 271-278 (2010) - [j49]Kyungmoo Lee, Meindert Niemeijer, Mona Kathryn Garvin, Young H. Kwon, Milan Sonka, Michael D. Abràmoff:
Segmentation of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head. IEEE Trans. Medical Imaging 29(1): 159-168 (2010) - [j48]Honghai Zhang, Andreas Wahle, Ryan K. Johnson, Thomas D. Scholz, Milan Sonka:
4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function. IEEE Trans. Medical Imaging 29(2): 350-364 (2010) - [j47]Milan Sonka:
Editorial. IEEE Trans. Medical Imaging 29(3): 581-582 (2010) - [j46]Punam K. Saha, Zhiyun Gao, Sara K. Alford, Milan Sonka, Eric A. Hoffman:
Topomorphologic Separation of Fused Isointensity Objects via Multiscale Opening: Separating Arteries and Veins in 3-D Pulmonary CT. IEEE Trans. Medical Imaging 29(3): 840-851 (2010) - [j45]Gwenolé Quellec, Kyungmoo Lee, Martin Dolejsi, Mona Kathryn Garvin, Michael D. Abràmoff, Milan Sonka:
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula. IEEE Trans. Medical Imaging 29(6): 1321-1330 (2010) - [j44]Yin Yin, Xiangmin Zhang, Rachel Williams, Xiaodong Wu, Donald D. Anderson, Milan Sonka:
LOGISMOS - Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint. IEEE Trans. Medical Imaging 29(12): 2023-2037 (2010) - [j43]Dongfeng Han, Milan Sonka, John E. Bayouth, Xiaodong Wu:
Optimal multiple-seams search for image resizing with smoothness and shape prior. Vis. Comput. 26(6-8): 749-759 (2010) - [c105]Qi Song, Xiaodong Wu, Yunlong Liu, Milan Sonka, Mona Kathryn Garvin:
Simultaneous searching of globally optimal interacting surfaces with shape priors. CVPR 2010: 2879-2886 - [c104]Honghai Zhang, Ademola K. Abiose, Dwayne N. Campbelz, Milan Sonka, James B. Martins, Andreas Wahle:
Shape and motion analysis of left ventricle dyssynchrony from real-time 3D echocardiography. ISBI 2010: 616-619 - [c103]Zhiyun Gao, Colin Holtze, Randall Grout, Milan Sonka, Eric A. Hoffman, Punam K. Saha:
Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging. ISVC (3) 2010: 129-138 - [c102]Dongfeng Han, John E. Bayouth, Sudershan Bhatia, Milan Sonka, Xiaodong Wu:
Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment. MCV 2010: 63-73 - [c101]Qi Song, Yinxiao Liu, Yunlong Liu, Punam K. Saha, Milan Sonka, Xiaodong Wu:
Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation. MICCAI (3) 2010: 172-180 - [c100]Yin Yin, Milan Sonka:
Electric field theory based approach to search-direction line definition in image segmentation: application to optimal femur-tibia cartilage segmentation in knee-joint 3-D MR. Medical Imaging: Image Processing 2010: 76230W - [c99]Zhiyun Gao, Colin Holtze, Milan Sonka, Eric A. Hoffman, Punam K. Saha:
Multiscale topo-morphologic opening of arteries and veins: a validation study on phantoms and CT imaging of pulmonary vessel casting of pigs. Medical Imaging: Image Processing 2010: 76233H - [c98]Guoyuan Liang, Jacob M. Elkins, Alexandre Coimbra, Le Thi Duong, Donald S. Williams, Milan Sonka, Punam K. Saha:
A new osteophyte segmentation method with applications to an anterior cruciate ligament transection rabbit femur model via micro-CT imaging. Medical Imaging: Image Processing 2010: 76234F - [e8]David Zhang, Milan Sonka:
Medical Biometrics, Second International Conference, ICMB 2010, Hong Kong, China, June 28-30, 2010. Proceedings. Lecture Notes in Computer Science 6165, Springer 2010, ISBN 978-3-642-13922-2 [contents]
2000 – 2009
- 2009
- [j42]Hidenori Shikata, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images. Int. J. Biomed. Imaging 2009: 636240:1-636240:11 (2009) - [j41]Fei Zhao, Honghai Zhang, Andreas Wahle, Matthew T. Thomas, Alan Stolpen, Thomas D. Scholz, Milan Sonka:
Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Medical Image Anal. 13(3): 483-493 (2009) - [j40]Milan Sonka:
Editorial. IEEE Trans. Medical Imaging 28(1): 1-2 (2009) - [j39]Mona Kathryn Garvin, Michael D. Abràmoff, Xiaodong Wu, Stephen R. Russell, Trudy L. Burns, Milan Sonka:
Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 28(9): 1436-1447 (2009) - [c97]Yin Yin, Qi Song, Milan Sonka:
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation. GbRPR 2009: 334-342 - [c96]Dongfeng Han, Xiaodong Wu, Milan Sonka:
Optimal multiple surfaces searching for video/image resizing - a graph-theoretic approach. ICCV 2009: 1026-1033 - [c95]Qi Song, Xiaodong Wu, Yunlong Liu, Mark Smith, John M. Buatti, Milan Sonka:
Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate. MICCAI (1) 2009: 827-835 - [c94]Meindert Niemeijer, Mona Kathryn Garvin, Kyungmoo Lee, Bram van Ginneken, Michael D. Abràmoff, Milan Sonka:
Registration of 3D spectral OCT volumes using 3D SIFT feature point matching. Medical Imaging: Image Processing 2009: 72591I - [c93]Y. Yin, X. Zhang, Donald D. Anderson, T. D. Brown, C. Van Hofwegen, Milan Sonka:
Simultaneous segmentation of the bone and cartilage surfaces of a knee joint in 3D. Medical Imaging: Image Processing 2009: 72591O - [c92]Punam K. Saha, Zhiyun Gao, Sara K. Alford, Milan Sonka, Eric A. Hoffman:
A novel multiscale topo-morphometric approach for separating arteries and veins via pulmonary CT imaging. Medical Imaging: Image Processing 2009: 725910 - [c91]Qi Song, Xiaodong Wu, Xin Dou, Milan Sonka:
Globally optimal 3D graph search incorporating both edge and regional information: application to aortic MR image segmentation. Medical Imaging: Image Processing 2009: 725913 - [c90]Xiaomin Liu, Danny Z. Chen, Xiaodong Wu, Milan Sonka:
Optimal graph search based image segmentation for objects with complex topologies. Medical Imaging: Image Processing 2009: 725915 - [c89]Ziyue Xu, Milan Sonka, Punam K. Saha:
Recent improvements in tensor scale computation and its applications to medical imaging. Medical Imaging: Image Processing 2009: 725939 - 2008
- [b2]Milan Sonka, Václav Hlavác, Roger Boyle:
Image processing, analysis and and machine vision (3. ed.). Thomson 2008, ISBN 978-0-495-24438-7, pp. I-XXV, 1-829 - [j38]Mona Kathryn Garvin, Michael D. Abràmoff, Randy Kardon, Stephen R. Russell, Xiaodong Wu, Milan Sonka:
Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search. IEEE Trans. Medical Imaging 27(10): 1495-1505 (2008) - [c88]Xin Dou, Xiaodong Wu, Andreas Wahle, Milan Sonka:
Globally optimal surface segmentation using regional properties of segmented objects. CVPR 2008 - [c87]Milan Sonka:
Knowledge-Based Approaches to Quantitative Medical Image Analysis and Image-Based Decision Making. FAW 2008: 3 - [c86]Meindert Niemeijer, Mona Kathryn Garvin, Bram van Ginneken, Milan Sonka, Michael D. Abràmoff:
Vessel segmentation in 3D spectral OCT scans of the retina. Medical Imaging: Image Processing 2008: 69141R - 2007
- [j37]Xiaodong Wu, Danny Z. Chen, Kang Li, Milan Sonka:
The Layered Net Surface Problems in Discrete Geometry and Medical Image Segmentation. Int. J. Comput. Geom. Appl. 17(3): 261-296 (2007) - [c85]Mona Haeker, Xiaodong Wu, Michael D. Abràmoff, Randy Kardon, Milan Sonka:
Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images. IPMI 2007: 607-618 - [c84]Milan Sonka, Juerg Tschirren, Soumik Ukil, X. Zhang, Ye Xu, Joseph M. Reinhardt, Edwin J. R. van Beek, Geoffrey McLennan, Eric A. Hoffman:
Pulmonary CT Image Analysis and Computer Aided Detection. ISBI 2007: 500-503 - [c83]Mona Haeker, Michael D. Abràmoff, Xiaodong Wu, Randy Kardon, Milan Sonka:
Use of Varying Constraints in Optimal 3-D Graph Search for Segmentation of Macular Optical Coherence Tomography Images. MICCAI (1) 2007: 244-251 - [c82]Xiangwei Zhang, Jonathan Stoeckel, Matthias Wolf, Pascal Cathier, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
A New Method for Spherical Object Detection and Its Application to Computer Aided Detection of Pulmonary Nodules in CT Images. MICCAI (1) 2007: 842-849 - [c81]Punam Kumar Saha, H. Zhang, Milan Sonka, Gary E. Christensen, Chamith S. Rajapakse:
Active index model: a unique approach for regional quantitative morphometry in longitudinal and cross-sectional studies. Medical Imaging: Image Processing 2007: 65121B - [c80]Mona Haeker, Milan Sonka, Randy Kardon, Vinay A. Shah, Xiaodong Wu, Michael D. Abràmoff:
Automated segmentation of intraretinal layers from macular optical coherence tomography images. Medical Imaging: Image Processing 2007: 651214 - [c79]Michael B. Merickel, Michael D. Abràmoff, Milan Sonka, Xiaodong Wu:
Segmentation of the optic nerve head combining pixel classification and graph search. Medical Imaging: Image Processing 2007: 651215 - 2006
- [j36]Kálmán Palágyi, Juerg Tschirren, Eric A. Hoffman, Milan Sonka:
Quantitative analysis of pulmonary airway tree structures. Comput. Biol. Medicine 36(9): 974-996 (2006) - [j35]Andreas Wahle, John J. Lopez, Mark E. Olszewski, Sarah C. Vigmostad, Krishnan B. Chandran, James D. Rossen, Milan Sonka:
Plaque development, vessel curvature, and wall shear stress in coronary arteries assessed by X-ray angiography and intravascular ultrasound. Medical Image Anal. 10(4): 615-631 (2006) - [j34]Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka:
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 119-134 (2006) - [j33]Ye Xu, Milan Sonka, Geoffrey McLennan, Junfeng Guo, Eric A. Hoffman:
MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies. IEEE Trans. Medical Imaging 25(4): 464-475 (2006) - [j32]Elco Oost, Gerhard Koning, Milan Sonka, Pranobe V. Oemrawsingh, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt:
Automated contour detection in X-ray left ventricular angiograms using multiview active appearance models and dynamic programming. IEEE Trans. Medical Imaging 25(9): 1158-1171 (2006) - [c78]Fei Zhao, Honghai Zhang, Andreas Wahle, Thomas D. Scholz, Milan Sonka:
Automated 4D Segmentation of Aortic Magnetic Resonance Images. BMVC 2006: 247-256 - [c77]Michael Sass Hansen, Fei Zhao, Honghai Zhang, Nicholas E. Walker, Andreas Wahle, Thomas D. Scholz, Milan Sonka:
Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis. CVAMIA 2006: 13-24 - [c76]Mona Haeker, Michael D. Abràmoff, Randy Kardon, Milan Sonka:
Segmentation of the Surfaces of the Retinal Layer from OCT Images. MICCAI (1) 2006: 800-807 - [c75]Soumik Ukil, Milan Sonka, Joseph M. Reinhardt:
Automatic segmentation of pulmonary fissures in x-ray CT images using anatomic guidance. Medical Imaging: Image Processing 2006: 61440N - [c74]Xiangwei Zhang, Jonathan Stoeckel, Matthias Wolf, Pascal Cathier, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
Computerized detection of pulmonary nodules using a combination of 3D global and local shape information based on helical CT images. Medical Imaging: Image Processing 2006: 61441V - [c73]Fei Zhao, Honghai Zhang, Nicholas E. Walker, Fuxing Yang, Mark E. Olszewski, Andreas Wahle, Thomas D. Scholz, Milan Sonka:
Quantitative analysis of two-phase 3D+time aortic MR images. Medical Imaging: Image Processing 2006: 614423 - [p1]B. Legeveldt, Alejandro F. Frangi, Steven C. Mitchell, Hans C. van Assen, Sebastián Ordas, Johan H. C. Reiber, Milan Sonka:
3D Active Shape and Appearance Models in Cardiac Image Analysis. Handbook of Mathematical Models in Computer Vision 2006: 471-485 - [e7]Reinhard Beichel, Milan Sonka:
Computer Vision Approaches to Medical Image Analysis, Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006 Revised Papers. Lecture Notes in Computer Science 4241, Springer 2006, ISBN 3-540-46257-0 [contents] - 2005
- [j31]Reinhard Beichel, Horst Bischof, Franz Leberl, Milan Sonka:
Robust active appearance models and their application to medical image analysis. IEEE Trans. Medical Imaging 24(9): 1151-1169 (2005) - [j30]Juerg Tschirren, Eric A. Hoffman, Geoffrey McLennan, Milan Sonka:
Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans. IEEE Trans. Medical Imaging 24(12): 1529-1539 (2005) - [j29]Juerg Tschirren, Geoffrey McLennan, Kálmán Palágyi, Eric A. Hoffman, Milan Sonka:
Matching and anatomical labeling of human airway tree. IEEE Trans. Medical Imaging 24(12): 1540-1547 (2005) - [c72]Reinhard Beichel, Horst Bischof, Georg Langs, Milan Sonka:
A Robust Matching Algorithm for Active Appearance Models. Bildverarbeitung für die Medizin 2005: 355-359 - [c71]Andreas Wahle, John J. Lopez, Mark E. Olszewski, Sarah C. Vigmostad, Krishnan B. Chandran, James D. Rossen, Milan Sonka:
Analysis of the Interdependencies Among Plaque Development, Vessel Curvature, and Wall Shear Stress in Coronary Arteries. FIMH 2005: 12-22 - [c70]Elco Oost, Gerhard Koning, Milan Sonka, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt:
Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming. FIMH 2005: 23-32 - [c69]Reinhard Beichel, Horst Bischof, Franz Leberl, Milan Sonka:
Robust Active Appearance Model Matching. IPMI 2005: 114-125 - [c68]Kang Li, Steven Millington, Xiaodong Wu, Danny Z. Chen, Milan Sonka:
Simultaneous Segmentation of Multiple Closed Surfaces Using Optimal Graph Searching. IPMI 2005: 406-417 - [c67]Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
Automated Detection of Small-Size Pulmonary Nodules Based on Helical CT Images. IPMI 2005: 664-676 - [c66]Xiaodong Wu, Danny Z. Chen, Kang Li, Milan Sonka:
The Layered Net Surface Problems in Discrete Geometry and Medical Image Segmentation. ISAAC 2005: 17-27 - [c65]Fuxing Yang, Michael A. Mackey, Fiorenza Ianzini, Greg Gallardo, Milan Sonka:
Cell Segmentation, Tracking, and Mitosis Detection Using Temporal Context. MICCAI 2005: 302-309 - [c64]Mark Eric Olszewski, Andreas Wahle, Sarah C. Vigmostad, Milan Sonka:
Multidimensional segmentation of coronary intravascular ultrasound images using knowledge-based methods. Medical Imaging: Image Processing 2005 - [c63]Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
A complete CAD system for pulmonary nodule detection in high resolution CT images. Medical Imaging: Image Processing 2005 - [c62]Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
3D segmentation of non-isolated pulmonary nodules in high resolution CT images. Medical Imaging: Image Processing 2005 - [e6]Gary E. Christensen, Milan Sonka:
Information Processing in Medical Imaging, 19th International Conference, IPMI 2005, Glenwood Springs, CO, USA, July 10-15, 2005, Proceedings. Lecture Notes in Computer Science 3565, Springer 2005, ISBN 3-540-26545-7 [contents] - 2004
- [j28]Andreas Wahle, Mark E. Olszewski, Milan Sonka:
Interactive virtual endoscopy in coronary arteries based on multimodality fusion. IEEE Trans. Medical Imaging 23(11): 1391-1403 (2004) - [c61]Mark E. Olszewski, Andreas Wahle, Steven C. Mitchell, Milan Sonka:
Segmentation of intravascular ultrasound images: a machine learning approach mimicking human vision. CARS 2004: 1045-1049 - [c60]Honghai Zhang, Liping Bu, Alan Stolpen, Milan Sonka, Shuping Ge:
Real-time three-dimensional digital Doppler method based on Gaussian control surface for measurement of flow volumes. CARS 2004: 1084-1089 - [c59]Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka:
Globally Optimal Segmentation of Interacting Surfaces with Geometric Constraints. CVPR (1) 2004: 394-399 - [c58]Kálmán Palágyi, Juerg Tschirren, Eric A. Hoffman, Milan Sonka:
Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation. ECCV Workshops CVAMIA and MMBIA 2004: 341-352 - [c57]Andreas Wahle, Mark E. Olszewski, Sarah C. Vigmostad, Kathleen Braddy, Theresa Brennan, James D. Rossen, Krishnan B. Chandran, Milan Sonka, Rubén Medina, A. Ümit Coskun, Charles Feldman, Peter Stone:
Quantitative Analysis of Circumferential Plaque Distribution in Human Coronary Arteries in Relation to Local Vessel Curvature. ISBI 2004: 531-534 - [c56]Greg M. Gallardo, Fuxing Yang, Fiorenza Ianzini, Michael A. Mackey, Milan Sonka:
Mitotic cell recognition with hidden Markov models. Medical Imaging: Image-Guided Procedures 2004 - [c55]Reinhard Beichel, Thomas Pock, Christian Janko, Roman B. Zotter, Bernhard Reitinger, Alexander Bornik, Kálmán Palágyi, Erich Sorantin, Georg Werkgartner, Horst Bischof, Milan Sonka:
Liver segment approximation in CT data for surgical resection planning. Medical Imaging: Image Processing 2004 - [c54]Kang Li, Xiaodong Wu, Zhixiang Chen, Milan Sonka:
Efficient optimal surface detection: theory, implementation, and experimental validation. Medical Imaging: Image Processing 2004 - [c53]Fuxing Yang, Michael A. Mackey, Fiorenza Ianzini, Greg M. Gallardo, Milan Sonka:
Segmentation and quantitative analysis of the living tumor cells using large-scale digital cell analysis system. Medical Imaging: Image Processing 2004 - [c52]Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka:
Computerized detection of pulmonary nodules using cellular neural networks in CT images. Medical Imaging: Image Processing 2004 - [c51]Xiangwei Zhang, Milan Sonka:
Curvature estimation of arbitrary discrete 3D surfaces using partial derivatives based on distance maps. Medical Imaging: Image Processing 2004 - [e5]Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic:
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. Lecture Notes in Computer Science 3117, Springer 2004, ISBN 3-540-22675-3 [contents] - [e4]J. Michael Fitzpatrick, Milan Sonka:
Medical Imaging 2004: Image Processing, San Diego, California, United States, 14-19 February 2004. SPIE Proceedings 5370, SPIE 2004, ISBN 9780819452832 [contents] - 2003
- [j27]Jirí Jan, Milan Sonka, Ivo Provazník:
Editorial. EURASIP J. Adv. Signal Process. 2003(5): 403-404 (2003) - [j26]Andreas Wahle, John J. Lopez, Edward C. Pennington, Sanford L. Meeks, Kathleen Braddy, James M. Fox, Theresa Brennan, John M. Buatti, James D. Rossen, Milan Sonka:
Effects of vessel geometry and catheter position on dose delivery in intracoronary brachytherapy. IEEE Trans. Biomed. Eng. 50(11): 1286-1295 (2003) - [c50]Alexander Bornik, Reinhard Beichel, Bernhard Reitinger, Georg Gotschuli, Erich Sorantin, Franz Leberl, Milan Sonka:
Computer Aided Liver Surgery Planning Based on Augmented Reality Techniques. Bildverarbeitung für die Medizin 2003: 249-253 - [c49]Milan Sonka, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Steven C. Mitchell, Johan H. C. Reiber:
Computer-aided diagnosis via model-based shape analysis: cardiac. CARS 2003: 1013-1018 - [c48]Mark E. Olszewski, Andreas Wahle, Rubén Medina, Steven C. Mitchell, Milan Sonka:
Integrated system for quantitative analysis of coronary plaque via data fusion of biplane angiography and intravascular ultrasound. CARS 2003: 1117-1122 - [c47]Boudewijn P. F. Lelieveldt, Mehmet Üzümcü, Rob J. van der Geest, Johan H. C. Reiber, Milan Sonka:
Multi-view active appearance models for consistent segmentation of multiple standard views: application to long and short-axis cardiac MR images. CARS 2003: 1141-1146 - [c46]Kálmán Palágyi, Juerg Tschirren, Milan Sonka:
Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation. IPMI 2003: 222-233 - [c45]C. R. Oost, Boudewijn P. F. Lelieveldt, Mehmet Üzümcü, Hildo J. Lamb, Johan H. C. Reiber, Milan Sonka:
Multi-view Active Appearance Models: Application to X-Ray LV Angiography and Cardiac MRI. IPMI 2003: 234-245 - [c44]Mehmet Üzümcü, Alejandro F. Frangi, Milan Sonka, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt:
ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation. MICCAI (1) 2003: 451-458 - [c43]Alexander Bornik, Reinhard Beichel, Bernhard Reitinger, Georg Gotschuli, Erich Sorantin, Franz Leberl, Milan Sonka:
Computer-aided liver surgery planning: an augmented reality approach. Medical Imaging: Image-Guided Procedures 2003 - [c42]Andreas Wahle, John J. Lopez, Edward C. Pennington, Sanford L. Meeks, Kathleen C. Braddy, James M. Fox, Theresa M. H. Brennan, John M. Buatti, James D. Rossen, Milan Sonka:
Estimating the actual dose delivered by intravascular coronary brachytherapy using geometrically correct 3D modeling. Medical Imaging: Image-Guided Procedures 2003 - [c41]Johan G. Bosch, Francisca Nijland, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Otto Kamp, Milan Sonka, Johan H. C. Reiber:
Automated classification of wall motion abnormalities by principal component analysis of endocardial shape motion patterns in echocardiograms. Medical Imaging: Image Processing 2003 - [c40]Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Hans G. Bosch, Johan H. C. Reiber, Milan Sonka:
Disease characterization of active appearance model coefficients. Medical Imaging: Image Processing 2003 - [c39]Elco Oost, Boudewijn P. F. Lelieveldt, Gerhard Koning, Milan Sonka, Johan H. C. Reiber:
Left ventricle contour detection in x-ray angiograms using multi-view active appearance models. Medical Imaging: Image Processing 2003 - [c38]Kálmán Palágyi, Juerg Tschirren, Milan Sonka:
Quantitative analysis of three-dimensional tubular tree structures. Medical Imaging: Image Processing 2003 - [c37]Fuxing Yang, Gerhard A. Holzapfel, Christian Schulze-Bauer, Rudolf Stollberger, Daniel Thedens, Lizann Bolinger, Alan Stolpen, Milan Sonka:
Vascular MR segmentation: wall and plaque. Medical Imaging: Image Processing 2003 - [e3]Milan Sonka, J. Michael Fitzpatrick:
Medical Imaging 2003: Image Processing, San Diego, California, United States, 15-20 February 2003. SPIE Proceedings 5032, SPIE 2003, ISBN 9780819448330 [contents] - 2002
- [j25]Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan H. C. Reiber, Milan Sonka:
3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images. IEEE Trans. Medical Imaging 21(9): 1167-1178 (2002) - [j24]Milan Sonka, Michael Grunkin:
Image Processing and Analysis in Drug Discovery and Clinical Trials. IEEE Trans. Medical Imaging 21(10): 1209-1211 (2002) - [j23]Milan Sonka, Weidong Liang, Ronald M. Lauer:
Automated Analysis of Brachial Ultrasound Image Sequences: Early Detection of Cardiovascular Disease via Surrogates of Endothelial Function. IEEE Trans. Medical Imaging 21(10): 1271-1279 (2002) - [j22]Johan G. Bosch, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Francisca Nijland, Otto Kamp, Milan Sonka, Johan H. C. Reiber:
Automatic Segmentation of Echocardiographic Sequences by Active Appearance Motion Models. IEEE Trans. Medical Imaging 21(11): 1374-1383 (2002) - [c36]Christian Schulze-Bauer, M. Auer, Rudolf Stollberger, Peter Regitnig, Milan Sonka, Gerhard A. Holzapfel:
Assessment of plaque stability by means of high-resolution MRI and finite element analyses of local stresses and strains. ISBI 2002: 449-452 - [c35]Junfeng Guo, Joseph M. Reinhardt, Hiroko Kitaoka, Li Zhang, Milan Sonka, Geoffrey McLennan, Eric A. Hoffman:
Integrated system for CT-based assessment of parenchymal lung disease. ISBI 2002: 871-874 - [c34]Rubén Medina, Andreas Wahle, Mark E. Olszewski, Milan Sonka:
Volumetric quantification of coronary arteries reconstructed by fusion between intravascular ultrasound and biplane angiography. ISBI 2002: 891-894 - [c33]Hiroko Kitaoka, Yongsup Park, Juerg Tschirren, Joseph M. Reinhardt, Milan Sonka, Geoffrey McLennan, Eric A. Hoffman:
Automated Nomenclature Labeling of the Bronchial Tree in 3D-CT Lung Images. MICCAI (2) 2002: 1-11 - [c32]Juerg Tschirren, Kálmán Palágyi, Joseph M. Reinhardt, Eric A. Hoffman, Milan Sonka:
Segmentation, Skeletonization, and Branchpoint Matching - A Fully Automated Quantitative Evaluation of Human Intrathoracic Airway Trees. MICCAI (2) 2002: 12-19 - [c31]Reinhard Beichel, Georg Gotschuli, Erich Sorantin, Franz W. Leberl, Milan Sonka:
Diaphragm dome surface segmentation in CT data sets: a 3D active appearance model approach. Medical Imaging: Image Processing 2002 - [c30]Johan G. Bosch, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Francisca Nijland, Otto Kamp, Milan Sonka, Johan H. C. Reiber:
Fully automated endocardial contour detection in time sequences of echocardiograms by three-dimensional active appearance models. Medical Imaging: Image Processing 2002 - [c29]Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Johan G. Bosch, Rob J. van der Geest, Johan H. C. Reiber, Milan Sonka:
Segmentation of cardiac MR volume data using 3D active appearance models. Medical Imaging: Image Processing 2002 - [e2]Milan Sonka, J. Michael Fitzpatrick:
Medical Imaging 2002: Image Processing, San Diego, California, United States, 23-28 February 2002. SPIE Proceedings 4684, SPIE 2002, ISBN 9780819444295 [contents] - 2001
- [j21]Milan Sonka, J. Michael Fitzpatrick:
Handbook of Medical Imaging - Processing and Analysis I.N.. IEEE Trans. Medical Imaging 20(3): 249-250 (2001) - [j20]Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan G. Bosch, Johan H. C. Reiber, Milan Sonka:
Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images. IEEE Trans. Medical Imaging 20(5): 415-423 (2001) - [j19]Juerg Tschirren, Ronald M. Lauer, Milan Sonka:
Automated Analysis of Doppler Ultrasound Velocity Flow Diagrams. IEEE Trans. Medical Imaging 20(12): 1422-1425 (2001) - [c28]Milan Sonka:
Cardiovascular image analysis: past, present and future. CARS 2001: 902-908 - [c27]Andreas Wahle, Steven C. Mitchell, Sharan D. Ramaswamy, Krishnan B. Chandran, Milan Sonka:
Visualization of human coronary arteries with quantification results from 3-D and 4-D computational hemodynamics based upon virtual endoscopy. CARS 2001: 923-929 - [c26]Hans G. Bosch, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Francisca Nijland, Otto Kamp, Milan Sonka, Johan H. C. Reiber:
Active Appearance - Motion Models for fully automated endocardial contour detection in time sequences of echocardiograms. CARS 2001: 941-947 - [c25]Boudewijn P. F. Lelieveldt, Steven C. Mitchell, Rob J. van der Geest, Hans G. Bosch, Milan Sonka, Johan H. C. Reiber:
Time continuous segmentation of cardiac MR images using Active Appearance Motion Models. CARS 2001: 961-966 - [c24]Milan Sonka, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Johan G. Bosch, Rob J. van der Geest, Johan H. C. Reiber:
Active Appearance Motion Model Segmentation. Workshop on Digital and Computational Video 2001: 64-68 - [c23]Reinhard Beichel, Steven C. Mitchell, Erich Sorantin, Franz Leberl, A. Ardeshir Goshtasby, Milan Sonka:
Shape- and appearance-based segmentation of volumetric medical images. ICIP (2) 2001: 589-592 - [c22]Boudewijn P. F. Lelieveldt, Steven C. Mitchell, Johan G. Bosch, Rob J. van der Geest, Milan Sonka, Johan H. C. Reiber:
Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models. IPMI 2001: 446-452 - [c21]Joseph M. Reinhardt, Junfeng Guo, Li Zhang, D. Bilgen, Shiying Hu, R. Uppaluri, Ryan M. Long, O. I. Saba, Geoffrey McLennan, Milan Sonka, Eric A. Hoffman:
Integrated System for Objective Assessment of Global and Regional Lung Structure. MICCAI 2001: 1384-1385 - [c20]Hans G. Bosch, Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Francisca Nijland, Otto Kamp, Milan Sonka, Johan H. C. Reiber:
Active appearance motion models for endocardial contour detection in time sequences of echocardiograms. Medical Imaging: Image Processing 2001 - [c19]Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Hans G. Bosch, Johan H. C. Reiber, Milan Sonka:
Time-continuous segmentation of cardiac MR image sequences using active appearance motion models. Medical Imaging: Image Processing 2001 - [c18]Andreas Wahle, Steven C. Mitchell, Sharan D. Ramaswamy, Krishnan B. Chandran, Milan Sonka:
Four-dimensional coronary morphology and computational hemodynamics. Medical Imaging: Image Processing 2001 - [e1]Milan Sonka, Kenneth M. Hanson:
Medical Imaging 2001: Image Processing, San Diego, CA, United States, 17-22 February 2001. SPIE Proceedings 4322, SPIE 2001, ISBN 9780819440082 [contents] - 2000
- [j18]A. Ardeshir Goshtasby, Milan Sonka, Jayaram K. Udupa:
Analysis of Volumetric Images. Comput. Vis. Image Underst. 77(2): 79-83 (2000) - [j17]Marek Brejl, Milan Sonka:
Directional 3D Edge Detection in Anisotropic Data: Detector Design and Performance Assessment. Comput. Vis. Image Underst. 77(2): 84-110 (2000) - [j16]Boudewijn P. F. Lelieveldt, Milan Sonka, Lizann Bolinger, Thomas D. Scholz, Hein W. M. Kayser, Rob J. van der Geest, Johan H. C. Reiber:
Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and Lungs in Thoracic MR Volumes. Comput. Vis. Image Underst. 80(1): 1-20 (2000) - [j15]Marek Brejl, Milan Sonka:
Object Localization and Border Detection Criteria Design in Edge-Based Image Segmentation: Automated Learning from Examples. IEEE Trans. Medical Imaging 19(10): 973-985 (2000) - [c17]Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Jorrit A. Schaap, Johan H. C. Reiber, Milan Sonka:
Segmentation of cardiac MR images: an active appearance model approach. Medical Imaging: Image Processing 2000 - [c16]Juerg Tschirren, Ronald M. Lauer, Milan Sonka:
Determination of the envelope function (maximum velocity curve) in Doppler ultrasound flow velocity diagrams. Medical Imaging: Image Processing 2000 - [c15]Marek Brejl, Milan Sonka:
Automated Initialization and Automated Design of Border Detection Criteria in Edge-Based Image Segmentation. SSIAI 2000: 26-30 - [c14]Mark E. Olszewski, Ryan M. Long, Steven C. Mitchell, Andreas Wahle, Milan Sonka:
Quantitative Measurements in Geometrically Correct Representations of Coronary Vessels in 3-D and 4-D. SSIAI 2000: 259-263
1990 – 1999
- 1999
- [j14]Marek Brejl, Milan Sonka:
Medical image segmentation: Automated design of border detection criteria from examples. J. Electronic Imaging 8(1): 54-64 (1999) - [j13]Andreas Wahle, Guido P. M. Prause, Clemens von Birgelen, Raimund Erbel, Milan Sonka:
Fusion of angiography and intravascular ultrasound in vivo: establishing the absolute 3-D frame orientation. IEEE Trans. Biomed. Eng. 46(10): 1176-1180 (1999) - [j12]Andreas Wahle, Guido P. M. Prause, Steven C. DeJong, Milan Sonka:
Geometrically Correct 3-D Reconstruction of Intravascular Ultrasound Images by Fusion with Biplane Angiography - Methods and Validation. IEEE Trans. Medical Imaging 18(8): 686-699 (1999) - [c13]Nicolae Duta, Milan Sonka, Anil K. Jain:
Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis. IPMI 1999: 370-375 - [c12]Boudewijn P. F. Lelieveldt, Milan Sonka, Lizann Bolinger, Thomas D. Scholz, Hein W. M. Kayser, Rob J. van der Geest, Johan H. C. Reiber:
Anatomical Modeling with Fuzzy Implicit Surfaces: Application to Automated Localization of the Heart and Lungs in Thoracic MR Images. IPMI 1999: 400-405 - [c11]Andreas Wahle, Guido P. M. Prause, Clemens von Birgelen, Raimund Erbel, Milan Sonka:
Automated calculation of the axial orientation of intravascular ultrasound images by fusion with biplane angiography. Medical Imaging: Image Processing 1999 - 1998
- [j11]Wonkyu Park, Eric A. Hoffman, Milan Sonka:
Segmentation of Intrathoracic Airway Trees: A Fuzzy Logic Approach. IEEE Trans. Medical Imaging 17(4): 489-497 (1998) - [j10]Xiangmin Zhang, Charles R. McKay, Milan Sonka:
Tissue Characterization in Intravascular Ultrasound Images. IEEE Trans. Medical Imaging 17(6): 889-899 (1998) - [j9]Anthony Krivanek, Milan Sonka:
Ovarian Ultrasound Image Analysis: Follicle Segmentation . IEEE Trans. Medical Imaging 17(6): 935-944 (1998) - [j8]Nicolae Duta, Milan Sonka:
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model. IEEE Trans. Medical Imaging 17(6): 1049-1062 (1998) - [c10]Andreas Wahle, Guido P. M. Prause, Steven C. DeJong, Milan Sonka:
3-D Fusion of Biplane Angiography and Intravascular Ultrasound for Accurate Visualization and Volumetry. MICCAI 1998: 146-155 - [c9]Anthony Krivanek, Weidong Liang, Gordon E. Sarty, Roger A. Pierson, Milan Sonka:
Automated follicle analysis in ovarian ultrasound. Medical Imaging: Image Processing 1998 - [c8]M. Carmen Molina, Guido P. M. Prause, Petia Radeva, Milan Sonka:
3D catheter path reconstruction from biplane angiograms. Medical Imaging: Image Processing 1998 - [c7]Milan Sonka:
Teaching digital image processing and computer vision in a quantitative imaging electronic classroom. Medical Imaging: Image Processing 1998 - 1997
- [j7]Milan Sonka, G. K. Reddy, Michael D. Winniford, Steve M. Collins:
Adaptive Approach to Accurate Analysis of Small-Diameter Vessels in Cineangiograms. IEEE Trans. Medical Imaging 16(1): 87-95 (1997) - [c6]Nicolae Duta, Milan Sonka:
An Improved Active Shape Model: Handling Occlusion and Outliers. ICIAP (1) 1997: 398-405 - [c5]Chaohuang Zeng, Milan Sonka:
Local Three-Dimensional Shape-Preserving Smoothing without Shrinkage. ICIP (1) 1997: 393-396 - [c4]Nicolae Duta, Milan Sonka:
Segmentation and Interpretation of MR Brain Images Using an Improved Knowledge-Based Active Shape Model. IPMI 1997: 375-380 - 1996
- [j6]C. Min Ma, Milan Sonka:
A Fully Parallel 3D Thinning Algorithm and Its Applications. Comput. Vis. Image Underst. 64(3): 420-433 (1996) - [j5]Milan Sonka, Wonkyu Park, Eric A. Hoffman:
Rule-based detection of intrathoracic airway trees. IEEE Trans. Medical Imaging 15(3): 314-326 (1996) - [j4]Milan Sonka, Satish K. Tadikonda, Steve M. Collins:
Knowledge-based interpretation of MR brain images. IEEE Trans. Medical Imaging 15(4): 443-452 (1996) - [c3]Wonkyu Park, Eric A. Hoffman, Milan Sonka:
Fuzzy logic approach to extraction of intrathoracic airway trees from three-dimensional CT images. Medical Imaging: Image Processing 1996 - 1995
- [b1]Milan Sonka, Václav Hlavác, Roger Boyle:
Image processing, analysis and machine vision. Chapman and Hall computing series, Chapman and Hall 1995, ISBN 978-0-412-45570-4, pp. I-XIX, 1-555 - [j3]Milan Sonka, Michael D. Winniford, Steve M. Collins:
Robust simultaneous detection of coronary borders in complex images. IEEE Trans. Medical Imaging 14(1): 151-161 (1995) - [j2]Milan Sonka, Xiangmin Zhang, Maria Siebes, Mark S. Bissing, Steven C. DeJong, Steve M. Collins, Charles R. McKay:
Segmentation of intravascular ultrasound images: a knowledge-based approach. IEEE Trans. Medical Imaging 14(4): 719-732 (1995) - [c2]Xiangmin Zhang, Steve M. Collins, Milan Sonka:
Tree pruning strategy in automated detection of coronary trees in cineangiograms. ICIP (3) 1995: 656-659 - 1993
- [j1]Milan Sonka, Christopher J. Wilbricht, Steven R. Fleagle, Satish K. Tadikonda, Michael D. Winniford, Steve M. Collins:
Simultaneous detection of both coronary borders. IEEE Trans. Medical Imaging 12(3): 588-599 (1993)
1980 – 1989
- 1989
- [c1]Milan Sonka:
Cognitive Robot Education and Image Processing Research at the Czech Technical University of Prague. Artificial Intelligence in Higher Education 1989: 168-172
Coauthor Index
Michael D. Abràmoff
aka: Michael Abramoff
aka: Michael Abramoff
Reinhard Beichel
aka: Reinhard R. Beichel
aka: Reinhard R. Beichel
Johan G. Bosch
aka: Hans G. Bosch
aka: Hans G. Bosch
Danny Ziyi Chen
aka: Danny Z. Chen
aka: Danny Z. Chen
Mark E. Olszewski
aka: Mark Eric Olszewski
aka: Mark Eric Olszewski
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