Computer Aided Diagnosis and Machine Learning I

• 
  Yanwu Xu, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong: Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. 1-8
• 
  Maria A. Zuluaga, Don Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz: Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images. 9-16
• 
  Nematollah Batmanghelich, Aoyan Dong, Ben Taskar, Christos Davatzikos: Regularized Tensor Factorization for Multi-Modality Medical Image Classification. 17-24
• 
  B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu: Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. 25-32
• 
  Gaoyu Xiao, Anant Madabhushi: Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data. 33-40
• 
  Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff: Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. 41-48
• 
  Antonio Criminisi, Krishna Juluru, Sayan Pathak: A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images. 49-57
• 
  Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu: Classification of Alzheimer's Disease Using a Self-Smoothing Operator. 58-65
• 
  Syed Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang: An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification. 66-74
• 
  Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff: Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. 75-82
• 
  Selen Atasoy, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab: Targeted Optical Biopsies for Surveillance Endoscopies. 83-90
• 
  Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran, Tien Yin Wong, Tin Aung: Focal Biologically Inspired Feature for Glaucoma Type Classification. 91-98
• 
  Mert R. Sabuncu, Koen Van Leemput: The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. 99-106
• 
  Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li: Assessment of Regional Myocardial Function via Statistical Features in MR Images. 107-114

Computer Aided Diagnosis and Machine Learning II

• 
  Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen: Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. 115-123
• 
  Zhao Liu, Lyndon N. Smith, Jiuai Sun, Melvyn L. Smith, Robert Warr: Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions. 124-132
• 
  Benjamin Irving, Pierre Goussard, Robert Gie, Andrew Todd-Pokropek, Paul Taylor: Identification of Paediatric Tuberculosis from Airway Shape Features. 133-140
• 
  Philip Walter Mewes, Dominik Neumann, Oleg Licegevic, Johannes Simon, Aleksandar Lj. Juloski, Elli Angelopoulou: Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endoscopy. 141-148
• 
  Pierrick Coupé, Simon F. Eskildsen, José V. Manjón, Vladimir Fonov, D. Louis Collins: Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's Disease. 149-157
• 
  Ayse Betül Oktay, Yusuf Sinan Akgul: Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference. 158-165
• 
  Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou: Automatic Contrast Phase Estimation in CT Volumes. 166-174
• 
  Ayman El-Baz, Matthew Nitzken, Ahmed Elnakib, Fahmi Khalifa, Georgy L. Gimel'farb, Robert Falk, Mohamed Abou El-Ghar: 3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. 175-182
• 
  Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido: Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. 183-190
• 
  Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng: Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. 191-198
• 
  Uri Avni, Hayit Greenspan, Jacob Goldberger: X-ray Categorization and Spatial Localization of Chest Pathologies. 199-206
• 
  Colin Jacobs, Clara I. Sánchez, Stefan C. Saur, Thorsten Twellmann, Pim A. de Jong, Bram van Ginneken: Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. 207-214
• 
  Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura: Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. 215-222
• 
  Sushravya Raghunath, Srinivasan Rajagopalan, Ronald A. Karwoski, Brian J. Bartholmai, Richard A. Robb: Referenceless Stratification of Parenchymal Lung Abnormalities. 223-230
• 
  Adrien Depeursinge, Antonio Foncubierta-Rodriguez, Dimitri Van De Ville, Henning Müller: Lung Texture Classification Using Locally-Oriented Riesz Components. 231-238

Computer Aided Diagnosis and Machine Learning III

• 
  Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez-Möller, Stephan G. Nekolla, Nassir Navab: Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. 239-247
• 
  Xióngbiao Luó, Takayuki Kitasaka, Kensaku Mori: ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy. 248-255
• 
  Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi: Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. 256-263
• 
  Virgile Fritsch, Gaël Varoquaux, Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion: Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. 264-271
• 
  Yihui Cao, Yuan Yuan, Xuelong Li, Baris Turkbey, Peter L. Choyke, Pingkun Yan: Segmenting Images by Combining Selected Atlases on Manifold. 272-279
• 
  Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba: Learning Pit Pattern Concepts for Gastroenterological Training. 280-287
• 
  Karen Simonyan, Andrew Zisserman, Antonio Criminisi: Immediate Structured Visual Search for Medical Images. 288-296
• 
  Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache: Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos. 297-304

Segmentation I

• 
  Jack H. Noble, Benoit M. Dawant: A New Approach for Tubular Structure Modeling and Segmentation Using Graph-Based Techniques. 305-312
• 
  Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen: Learning-Based Meta-Algorithm for MRI Brain Extraction. 313-321
• 
  Neil I. Weisenfeld, Simon K. Warfield: Learning Likelihoods for Labeling (L3): A General Multi-Classifier Segmentation Algorithm. 322-329
• 
  Hrvoje Bogunovic, José María Pozo, Rubén Cárdenes, Alejandro F. Frangi: Anatomical Labeling of the Anterior Circulation of the Circle of Willis Using Maximum a Posteriori Classification. 330-337
• 
  Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou: Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. 338-345
• 
  Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios: Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. 346-353
• 
  Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes: Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. 354-361
• 
  Seyed-Ahmad Ahmadi, Maximilian Baust, Athanasios Karamalis, Annika Plate, Kai Boetzel, Tassilo Klein, Nassir Navab: Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis. 362-369

Segmentation II

• 
  Fabian Rathke, Stefan Schmidt, Christoph Schnörr: Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. 370-377
• 
  Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Cornelia F. Hagmann, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin: Adaptive Neonate Brain Segmentation. 378-386
• 
  Xiuli Li, Xinjian Chen, Jianhua Yao, Xing Zhang, Jie Tian: Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction. 387-394
• 
  Rubén Cárdenes, José Luis Díez, Ignacio Larrabide, Hrvoje Bogunovic, Alejandro F. Frangi: 3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography. 395-402
• 
  Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu: Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. 403-410
• 
  Francesco Ciompi, Oriol Pujol, Carlo Gatta, Xavier Carrillo, Josepa Mauri, Petia Radeva: A Holistic Approach for the Detection of Media-Adventitia Border in IVUS. 411-419
• 
  Dwarikanath Mahapatra, Ying Sun: Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts. 420-427
• 
  Dong Wei, Ying Sun, Ping Chai, Adrian Low, Sim Heng Ong: Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images. 428-435
• 
  Ning Zhu, Albert C. S. Chung: Minimum Average-Cost Path for Real Time 3D Coronary Artery Segmentation of CT Images. 436-444
• 
  Hosung Kim, Tommaso Mansi, Neda Bernasconi, Andrea Bernasconi: Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi. 445-453
• 
  Oliver Müller, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn: Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants. 454-462
• 
  Axel Saalbach, Irina Wächter-Stehle, Reinhard Kneser, Sabine Mollus, Jochen Peters, Jürgen Weese: Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain. 463-470
• 
  Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu: Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. 471-478
• 
  Xiaoguang Lu, Marie-Pierre Jolly, Bogdan Georgescu, Carmel Hayes, Peter Speier, Michaela Schmidt, Xiaoming Bi, Randall Kroeker, Dorin Comaniciu, Peter Kellman, Edgar Mueller, Jens Guehring: Automatic View Planning for Cardiac MRI Acquisition. 479-486
• 
  Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu: Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. 487-495
• 
  Antonio Hernández-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Petia Radeva: Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation. 496-503
• 
  Ingmar Voigt, Tommaso Mansi, Razvan Ioan Ionasec, Etienne Assoumou Mengue, Helene Houle, Bogdan Georgescu, Joachim Hornegger, Dorin Comaniciu: Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus. 504-511
• 
  Leo Grady, Saurabh Datta, Oliver Kutter, Christophe Duong, Wolfgang Wein, Stephen H. Little, Stephen R. Igo, Shizhen Liu, Mani A. Vannan: Regurgitation Quantification Using 3D PISA in Volume Echocardiography. 512-519
• 
  Robert J. Schneider, Neil A. Tenenholtz, Douglas P. Perrin, Gerald R. Marx, Pedro J. del Nido, Robert D. Howe: Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound. 520-527

Segmentation III

• 
  Yifeng Jiang, Zhen W. Zhuang, Albert J. Sinusas, Lawrence H. Staib, Xenophon Papademetris: Vessel Connectivity Using Murray's Hypothesis. 528-536
• 
  Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland: Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. 537-545
• 
  Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos: A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. 546-553
• 
  Shohei Hanaoka, Karl D. Fritscher, Martin Welk, Mitsutaka Nemoto, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert: 3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. 554-561
• 
  Brad M. Keller, Diane Nathan, Yan Wang, Yuanjie Zheng, James C. Gee, Emily F. Conant, Despina Kontos: Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography. 562-569
• 
  Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen: Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. 570-578
• 
  Nicolas Brieu, Martin Groher, Jovana Serbanovic-Canic, Ana Cvejic, Willem Ouwehand, Nassir Navab: Joint Thrombus and Vessel Segmentation Using Dynamic Texture Likelihoods and Shape Prior. 579-586
• 
  Fahmi Khalifa, Ahmed Elnakib, Garth M. Beache, Georgy L. Gimel'farb, Mohamed Abou El-Ghar, Rosemary Ouseph, Guela Sokhadze, Samantha Manning, Patrick McClure, Ayman El-Baz: 3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function. 587-594
• 
  Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk: Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. 595-602
• 
  Andrew Top, Ghassan Hamarneh, Rafeef Abugharbieh: Active Learning for Interactive 3D Image Segmentation. 603-610
• 
  Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas: 3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models. 611-618
• 
  Tamás Haidegger, Melinda Nagy, Ákos Lehotsky, László Szilágyi: Digital Imaging for the Education of Proper Surgical Hand Disinfection. 619-626
• 
  Lichao Wang, Robert D. Merrifield, Guang-Zhong Yang: Reinforcement Learning for Context Aware Segmentation. 627-634
• 
  Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen: Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. 635-642
• 
  Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen: Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. 643-650
• 
  Shawn Andrews, Ghassan Hamarneh, Azadeh Yazdanpanah, Bahareh HajGhanbari, W. Darlene Reid: Probabilistic Multi-shape Segmentation of Knee Extensor and Flexor Muscles. 651-658
• 
  William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold: Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. 659-666
• 
  Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou: Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. 667-674

last updated on Wed May 22 04:55:48 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page