| Monday 23 September 2013 |
Poster Session 1 (14:00 - 16:30)
Imaging, reconstruction, and enhancement I
Chairs: Daniel Rueckert (ICL, UK) |
| P1-01 |
Joint Intensity Inhomogeneity Correction for Whole-Body MR Data
Oleh Dzyubachyk, Rob J. van der Geest, Marius Staring, Peter Börnert, Monique Reijnierse, Johan L. Bloem, Boudewijn P. F. Lelieveldt,
Leiden University Medical Center, Philips Research Laboratories |
| P1-02 |
Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli,
Cornell University, Weill Cornell Medical College |
| P1-03 |
Learning the Manifold of Quality Ultrasound Acquisition
Noha El-Zehiry, Michelle Yan, Sara Good, Tong Fang, S. Kevin Zhou, Leo Grady,
Siemens Corporation, Corporate Technology, HeartFlow Inc |
| P1-04 |
Example-based Restoration of High-resolution Magnetic Resonance Image Acquisitions
Ender Konukoglu, Andre van der Kouwe, Mert R. Sabuncu, Bruce Fischl,
Harvard Medical School |
| P1-05 |
ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy
Thomas Kohler, Sven Haase, Sebastian Bauer, Jakob Wasza, Thomas Kilgus, Lena Maier-Hein, Hubertus Feusner, Joachim Hornegger,
University Erlangen-Nuremberg, German Cancer Research Center (DKFZ), Technical University Munich |
| P1-06 |
Attenuation Correction Synthesis for Hybrid PET-MR Scanners
Ninon Burgos, M. Jorge Cardoso, Marc Modat, Stefano Pedemonte, John Dickson, Anna Barnes, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sebastien Ourselin,
University College London |
| P1-07 |
Low-Rank Total Variation for Image Super-Resolution
Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen,
University of North Carolina, Chapel Hill |
| P1-08 |
First use of mini gamma cameras for intra-operative robotic SPECT reconstruction
Philipp Matthies, Kanishka Sharma, Asli Okur, Jose Gardiazabal, Jakob Vogel, Tobias Lasser, Nassir Navab,
Technische Universitat Munchen |
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Registration I
Chairs: Dinggang Shen (UNC, US) |
| P1-09 |
Robust Model-based 3D/3D Fusion using Sparse Matching for Minimally Invasive Surgery
Dominik Neumann, Sasa Grbic, Matthias John, Nassir Navab, Joachim Hornegger, Razvan Ionasec,
Friedrich-Alexander-University Erlangen-Nuremberg, Siemens Corporate Research, Technische Universitat Munchen, Siemens AG, Healthcare Sector |
| P1-10 |
Iterative Closest Curve: a Framework for Curvilinear Structure Registration Application to 2D/3D Coronary Arteries Registration
Thomas Benseghir, Gregoire Malandain, Regis Vaillant,
General Electric Healthcare, INRIA |
| P1-11 |
Towards Realtime Multimodal Fusion for Image-Guided Interventions using Self-Similarities
Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Sir Michael Brady, Julia A. Schnabel,
University of Oxford |
| P1-12 |
Efficient Convex Optimization Approach to 3D Non-Rigid MR-TRUS Registration
Yue Sun, Jing Yuan, Martin Rajchl, Wu Qiu, Cesare Romagnoli, Aaron Fenster,
Robarts Research Institute, Western University |
| P1-13 |
Left-invariant metrics for diffeomorphic image registration with spatially-varying regularisation
Tanya Schmah, Laurent Risser, Francois-Xavier Vialard,
Rotman Research Institute, Baycrest, CNRS - Institut de Mathematiques de Toulouse, Universite Paris Dauphine |
| P1-14 |
A Generalised Spatio-Temporal Registration Framework for Dynamic PET Data: Application to Neuroreceptor Imaging
Jieqing Jiao, Julia A. Schnabel, Roger N. Gunn,
University of Oxford, Imanova Limited |
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Machine learning, statistical modeling, and atlases I
Chairs: Mads Nielsen (U. Copenhagen, DK) |
| P1-15 |
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling
Matthias Dorfer, Rene Donner, Georg Langs,
Medical University of Vienna |
| P1-16 |
Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation
Zhihui Hao, Qiang Wang, Xiaotao Wang, Jung Bae Kim, Youngkyoo Hwang, Baek Hwan Cho, Ping Guo, Won Ki Lee,
Samsung Advanced Institute of Technology |
| P1-17 |
Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data
Dipti Prasad Mukherjee, Keisuke Higashiura, Toshiyuki Okada, Masatoshi Hori, Yen-Wei Chen, Noriyuki Tomiyama, Yoshinobu Sato,
Indian Statistical Institute, Ritsumeikan University, Osaka University |
| P1-18 |
Visual Phrase Learning and its Application in Computed Tomographic Colonography
Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers,
National Institutes of Health |
| P1-19 |
Fusing Correspondenceless 3D Point Distribution Models
Marco Pereanez, Karim Lekadir, Constantine Butakoff, Corne Hoogendoorn, Alejandro Frangi,
Universitat Pompeu Fabra, University of Sheffield |
| P1-20 |
Robust Multimodal Dictionary Learning
Tian Cao, Vladimir Jojic, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer,
University of North Carolina at Chapel Hill, University of Delaware, Carl Zeiss Microscopy |
| P1-21 |
Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes
P. Gori, O. Colliot, Y. Worbe, L. Marrakchi-Kacem, S. Lecomte, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman,
INRIA, CR-ICM CNRS UMR 7225, CEA Neurospin |
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Computer aided diagnosis and imaging biomarkers I
Chairs: Bram van Ginneken (Radboud U., NL.) |
| P1-22 |
Manifold Regularized Multi-task Feature Selection for Multi-modality Classification in Alzheimer's Disease
Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen,
Nanjing University of Aeronautics and Astronautics, University of North Carolina at Chapel Hill |
| P1-23 |
Similarity Guided Feature Labeling for Lesion Detection
Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael Fulham, Dagan Feng,
The University of Sydney, University of Texas at Arlington, the Chinese University of Hong Kong, Royal Prince Alfred Hospital |
| P1-24 |
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap,
University of North Carolina at Chapel Hill |
| P1-25 |
Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study
Moo K. Chung, Jamie L. Hanson, Hyekyoung Lee, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak,
University of Wisconsin, Seoul National University |
| P1-26 |
Inter-Modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification
Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen,
University of Electronic Science and Technology of China, University of North Carolina at Chapel Hill |
| P1-27 |
The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data
Manav Bhushan, Julia A. Schnabel, Michael Chappell, Fergus Gleeson, Mark Anderson, Jamie Franklin, Sir Mike Brady, Mark Jenkinson,
University of Oxford, Churchill Hospital |
| P1-28 |
Contrast-Independent Liver-Fat Quantification from Spectral CT Exams
Paulo R. S. Mendonca, Peter Lamb, Andras Kriston, Kosuke Sasaki, Masayuki Kudo, Dushyant V. Sahani,
GE Global Research, GE Healthcare, Massachusetts General Hospital |
| P1-29 |
Semi-Automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku Mori,
Nagoya University, Aichi Institute of Technology, Nagoya University Hospital, National Cancer Center, Aichi Cancer Center, International University of Health and Welfare Mita Hospital |
| P1-30 |
Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-Contrast CT Images
Jianfei Liu, Shijun Wang, Jianhua Yao, Marius George Linguraru, Ronald M. Summers,
National Institutes of Health Clinical Center , Children's National Medical Center |
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Intraoperative guidance and robotics I
Chairs: Nobuhiko Hata (Harvard Med. Sch. BWH, US) |
| P1-31 |
Errors in Device Localization in MRI using Z-Frames
Jeremy Cepek, Blaine A. Chronik, Aaron Fenster,
University of Western Ontario |
| P1-32 |
3-D Operation Situs Reconstruction with Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion
Sven Haase, Sebastian Bauer, Jakob Wasza, Thomas Kilgus, Lena Maier-Hein, Armin Schneider, Michael Kranzfelder, Hubertus Feusner, Joachim Hornegger,
University Erlangen-Nuremberg, German Cancer Research Center (DKFZ), Technical University Munich |
| P1-33 |
Multi-section continuum robot for endoscopic surgical clipping of intracranial aneurysms
Takahisa Kato, Ichiro Okumura, Sang-Eun Song, Nobuhiko Hata,
Canon U.S.A. Inc., Brigham |AFFILIATIONS| Women's Hospital |
| P1-34 |
Inter-Operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization
Anant S. Vemuri, Stephane A. Nicolau, Nicholas Ayache, Jacques Marescaux, Luc Soler,
IHU, IRCAD, INRIA |
| P1-35 |
System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-enhanced CT for Abdominal Aortic Aneurysm Stenting
Shun Miao, Rui Liao, Marcus Pfister, Li Zhang, Vincent Ordy,
Siemens Corporation, Corporate Technology, Siemens Healthcare |
| P1-36 |
Beyond Current Guided Bronchoscopy: A Robust and Real-time Bronchoscopic Ultrasound Navigation System
Xiongbiao Luo, Kensaku Mori,
Nagoya University |
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Microscope, optical imaging, and histology I
Chairs: Purang Abolmaesumi (UBC, CA) |
| P1-37 |
A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology
Sreetama Basu, Maria Kulikova, Elena Zhizhina, Wei Tsang Ooi, Daniel Racoceanu,
National University of Singapore, University Pierre and Marie Curie, Institute of Information Transmission Problems |
| P1-38 |
A Viterbi approach to topology inference for large scale endomicroscopy video mosaicing
Jessie Mahe, Tom Vercauteren, Benoit Rosa, Julien Dauguet,
Mauna Kea Technologies, University Pierre et Marie Curie |
| P1-39 |
Spatially Aware Cell Cluster (SpACCl) Graphs: Predicting outcome in Oropharyngeal p16+ Tumors
Sahirzeeshan Ali, James Lewis, Anant Madabhushi,
Washington University, Case Western University |
| P1-40 |
Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection
Seungil Huh, Hang Su, Mei Chen, Takeo Kanade,
Carnegie Mellon University, Shanghai Jiaotong University, Intel Science and Technology Center on Embedded Computing |
| P1-41 |
A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-Surface Searching and Image Registration
Yuanjie Zheng, Rui Xiao, Yan Wang, James C. Gee,
University of Pennsylvania |
| P1-42 |
An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor
Fuyong Xing, Hai Su, Lin Yang,
University of Kentucky |
| P1-43 |
A Linear Program Formulation for the Segmentation of Ciona Membrane Volumes
Diana L. Delibaltov, Pratim Ghosh, Volkan Rodoplu, Michael Veeman, William Smith, B.S. Manjunath,
University of California, Santa Barbara, Kansas State University |
| P1-44 |
Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells
Zhi Lu, Gustavo Carneiro, Andrew P. Bradley,
City University of Hong Kong, University of Adelaide, The University of Queensland |
| P1-45 |
Segmentation of Cells with Partial Occlusion and Part Configuration Constraint using Evolutionary Computation
Masoud S. Nosrati, Ghassan Hamarneh,
Simon Fraser University |
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Cardiology I
Chairs: Martyn Nash(U. Auckland, NZ) |
| P1-46 |
A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification
Giann Gorospe, Laurent Younes, Leslie Tung, Rene Vidal,
Johns Hopkins University |
| P1-47 |
Segmentation of the Left Ventricle Using A Distance Regularized Two-layer Level Set Approach
Chaolu Feng, Chunming Li, Dazhe Zhao, Christos Davatzikos, Harold Litt,
Northeastern University, University of Pennsylvania |
| P1-48 |
Automated segmentation and geometrical modeling of the tricuspid aortic valve in 3D echocardiographic images
Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Chandra M. Sehgal, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich,
University of Pennsylvania |
| P1-49 |
Cardiac Motion Estimation by Optimizing Transmural Homogeneity of the Myofiber Strain and its Validation with Multimodal Sequences
Zhijun Zhang, David J. Sahn, Xubo Song,
Oregon Health and Science University |
| P1-50 |
A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging
Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang,
Rochester Institute of Technology |
| P1-51 |
Right Ventricle Segmentation with Probability Product Kernel Constraints
Cyrus M.S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed,
University of Western Ontario, GE HealthCare, Robarts Research Institute, St. Joseph's HealthCare |
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Vasculatures and tubular structures I
Chairs: Yoshitaka Masutani(U. Tokyo, JP) |
| P1-52 |
A Learning-based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
Valeria De Luca, Michael Tschannen, Gabor Szekely, Christine Tanner,
ETH Zurich |
| P1-53 |
Supervised Feature Learning for Curvilinear Structure Segmentation
Carlos Becker, Roberto Rigamonti, Vincent Lepetit, Pascal Fua,
EPFL, Lausanne |
| P1-54 |
Joint Segmentation of 3D Femoral Lumen and Outer Wall Surfaces from MR Images
Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Bernard Chiu, Shadi Shavakh, Jianrong Xu, Aaron Fenster,
Robarts Research Institute, City University of Hong Kong, Renji Hospital, Shanghai Jiao Tong University |
| P1-55 |
Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA
Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sebastien Ourselin, Xiahai Zhuang,
Shanghai Jiaotong Universiy, Imperial College London, University College London, Shanghai Advanced Research Institute |
| P1-56 |
Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation
Wei Liao, Karl Rohr, Stefan Worz,
University of Heidelberg |
| P1-57 |
Low-rank and Sparse Matrix Decomposition for Compressed Sensing reconstruction of Magnetic Resonance 4D Phase Contrast blood flow imaging (LoSDeCoS 4D-PCI)
Jana Hutter, Peter Schmitt, Gunhild Aandal, Andreas Greiser, Christoph Forman, Robert Grimm, Joachim Hornegger, Andreas Maier,
University Erlangen-Nurnberg, School of Advanced Optical Technologies, University Hospital Cleveland, Siemens Healthcare, Magnetic Resonance |
| P1-58 |
Anatomical labeling of the Circle of Willis using Maximum A Posteriori graph matching
David Robben, Stefan Sunaert, Vincent Thijs, Guy Wilms, Frederik Maes, Paul Suetens,
University of Leuven |
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Brain imaging and basic techniques
Chairs: Mert Rory Sabuncu(Harvard Med. Sch. MGH. US) |
| P1-59 |
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches
M. Schirmer, G. Ball, S.J. Counsell, A.D. Edwards, D. Rueckert, J.V. Hajnal, P. Aljabar,
King's College, London, Imperial College London |
| P1-60 |
Localisation of the Brain in Fetal MRI Using Bundled SIFT Features
Kevin Keraudren, Vanessa Kyriakopoulou, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert,
Imperial College London, Kings College London |
| P1-61 |
Surface smoothing: a way back in early brain morphogenesis
Julien Lefevre, Victor Intwali, Lucie Hertz-Pannier, Petra S. Huppi, Jean-Francois Mangin, Jessica Dubois, David Germanaud,
Aix-Marseille Universite, Ecole Centrale Marseille, Universite Paris Descartes, Geneva University Hospitals, CEA, I2BM, DSV, Neurospin, Inserm. U992 |
| P1-62 |
4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures
A. Pasha Hosseinbor, Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Matt Sutterer, Andrew L. Alexander, Richard J. Davidson,
University of Wisconsin, Madison, University of Reading |
| P1-63 |
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
D. Ye, D. Zikic, B. Glocker, A. Criminisi, E. Konukoglu,
University of Pennsylvania, Microsoft Research, Massachusetts General Hospital |
| P1-64 |
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification
Youngjin Yoo, Roger Tam,
University of British Columbia |
| P1-65 |
Robust Myelin Quantitative Imaging from Multi-echo T2 MRI Using Edge Preserving Spatial Priors
Xiaobo Shen, Thanh D. Nguyen, Susan A. Gauthier, Ashish Raj,
Cornell University, Weill Cornell Medical College |
| P1-66 |
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl,
Massachusetts General Hospital, Microsoft Research |
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Diffusion MRI I
Chairs: Kaleem Siddiqi (McGill U., CA) |
| P1-67 |
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap,
University of North Carolina at Chapel Hill, Institute of Automation, Chinese Academy of Sciences, INRIA Sophia-Antipolis-Mediterranee |
| P1-68 |
On Describing Human White Matter Anatomy: The White Matter Query Language
Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin,
Brigham and Women's Hospital, Massachusetts General Hospital |
| P1-69 |
Voxelwise Spectral Diffusional Connectivity and its Applications to Alzheimer's Disease and Intelligence Prediction
Junning Li, Yan Jin, Yonggang Shi, Ivo D. Dinov, Danny J. Wang, Arthur W. Toga, Paul M. Thompson,
UCLA School of Medicine |
| P1-70 |
Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity
Thomas Schultz, Samuel Groeschel,
University of Bonn, University Hospital Tubingen |
| P1-71 |
Evaluating structural connectomics in relation to different q-space sampling techniques
Paulo Rodrigues, Alberto Prats, David Gallardo-Pujol, Pablo Villoslada, Carles Falcon, Vesna Prchkovska,
Universitat Barcelona, Hospital Clinic and Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) |
| P1-72 |
Tensor Metrics and Charged Containers for 3D Q-space Sample Distribution
Hans Knutsson, Carl-Fredrik Westin,
Linkoping Universit, Harvard Medical School |
| P1-73 |
Optimal Diffusion Tensor Imaging with Repeated Measurements
Mohammad Alipoor, Irene Y. H. Gu, Andrew J. H. Mehnert, Ylva Lilja, Daniel Nilsson,
Chalmers University of Technology, Sahlgrenska University Hospital |
| P1-74 |
Estimation of a Multi-Fascicle Model from Single B-Value Data with a Population-Informed Prior
Maxime Taquet, Benoit Scherrer, Nicolas Boumal, Benoit Macq, Simon K. Warfield,
Harvard Medical School, Universite catholique de Louvain |
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Brain segmentation and atlases I
Chairs: Martin A. Styner (UNC, US) |
| P1-75 |
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen,
University of North Carolina at Chapel Hill |
| P1-76 |
Groupwise Segmentation with Multi-Atlas Joint Label Fusion
Hongzhi Wang, Paul A. Yushkevich,
University of Pennsylvania |
| P1-77 |
Higher-Order CRF Tumor Segmentation with Discriminant Manifold Potentials
Samuel Kadoury, Nadine Abi-Jaoudeh, Pablo A. Valdes,
Ecole Polytechnique de Montreal, National Institutes of Health, Dartmouth College |
| P1-78 |
Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models
Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput,
Technical University of Denmark, Massachusetts General Hospital |
| P1-79 |
Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding
Nick Weiss, Daniel Rueckert, Anil Rao, University of Lubeck,
Imperial College London |
| P1-80 |
Deformable Atlas for Multi-Structure Segmentation
Xiaofeng Liu, Albert Montillo, Ek. T. Tan, John F. Schenck, Paulo Mendonca,
General Electric Global Research Center |
| P1-81 |
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI
Nagesh K. Subbanna, Doina Precup, D. Louis Collins, Tal Arbel,
Centre for Intelligent Machines, McGill University, McConnell Brain Imaging Centre, MNI |
| P1-82 |
Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-Local Statistical Fusion
Andrew J. Asman, Seth A. Smith, Daniel S. Reich, Bennett A. Landman,
Vanderbilt University, National Institutes of Health |
Poster presentations of the papers of Oral Session 1 are assigned to Poster Session 1.
