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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
[c152]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- [c151]Yaopeng Peng
, Milan Sonka, Danny Z. Chen:
Group Vision Transformer. ACM Multimedia 2024: 2623-2631 - [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
- [j80]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) - [j79]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 - [d1]Sean Mullan, Milan Sonka:
Synthetic Nodules for Evaluation of 3D Deep Learning Segmentation Attribution. Zenodo, 2023
- [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
- [j78]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) - [j77]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. Image Processing 2022 - [c146]Sean Mullan, Milan Sonka:
Visual attribution for deep learning segmentation in medical imaging. Image Processing 2022 - 2021
- [j76]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
- [j75]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. 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
- [j74]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) - [j73]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) - [j72]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
- [j71]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) - [j70]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) - [j69]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. 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
- [j68]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. 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. 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. Image Processing 2016: 97841E - 2015
- [j67]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) - [j66]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) - [j65]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. 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. 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. 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. Image Processing 2015: 941313 - 2014
- [j64]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) - [j63]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
- [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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
- [j56]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. 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. 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. 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. 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
- [j55]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) - [j54]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) - [j53]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) - [j52]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
- [j51]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) - [j50]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) - [j49]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) - [j48]Milan Sonka:
Editorial. IEEE Trans. Medical Imaging 29(3): 581-582 (2010) - [j47]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) - [j46]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) - [j45]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) - [j44]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]