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ORCIDISBI 2015: Brooklyn, NY, USA
- 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA, April 16-19, 2015. IEEE 2015, ISBN 978-1-4799-2374-8
Bone Imaging (Poster Session)
- Tanvir R. Faisal
, Yunhua Luo:
Stress variations owing to single-stance load and sideways fall result in fracture at proximal femur. 1-4 - Michael Unser:
Keynote speakers: Sparse modeling and the resolution of inverse problems in biomedical imaging. 1-2 - Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, David Dagan Feng:
Bone texture characterization with fisher encoding of local descriptors. 5-8 - Olivier Cros, Michael Gaihede, Mats T. Andersson, Hans Knutsson:
Structural analysis of micro-channels in human temporal bone. 9-12 - Niamul Quader, Antony J. Hodgson, Kishore Mulpuri, Thomas Savage, Rafeef Abugharbieh:
Automatic assessment of developmental dysplasia of the hip. 13-16 - Dong Yang, Shaoting Zhang, Zhennan Yan, Chaowei Tan, Kang Li, Dimitris N. Metaxas:
Automated anatomical landmark detection ondistal femur surface using convolutional neural network. 17-21
Brain Connectivity (Poster Session)
- Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu:
Deriving ADHD biomarkers with sparse coding based network analysis. 22-25 - Djalel Eddine Meskaldji, Stephan Morgenthaler, Dimitri Van De Ville:
New measures of brain functional connectivity by temporal analysis of extreme events. 26-29 - Yuan Wang, Moo K. Chung, David R. W. Bachhuber, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson:
LARS network filtration in the study of EEG brain connectivity. 30-33 - Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of putamen using resting state fMRI data. 34-37 - Maria Giulia Preti, Sven Haller, Panteleimon Giannakopoulos, Dimitri Van De Ville:
Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform. 38-41 - Luca Dodero, Ha Quang Minh, Marco San-Biagio, Vittorio Murino, Diego Sona:
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. 42-45
Cancer Imaging (Poster Session)
- Hui Tang, Huangxiang Lu, Weiping Liu, Xiaodong Tao:
Tumor segmentation from single contrast MR images of human brain. 46-49 - Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt:
Prognostic value of multimodal MRI tumor features in Glioblastoma multiforme using textural features analysis. 50-54 - Hai Su, Fujun Liu, Yuanpu Xie, Fuyong Xing, Sreenivasan Meyyappan, Lin Yang:
Region segmentation in histopathological breast cancer images using deep convolutional neural network. 55-58 - Daniel S. Cho, Shahid A. Haider, Robert Amelard, Alexander Wong, David A. Clausi:
Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations. 59-62 - Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera:
Outcome prediction in tumour therapy based on Dempster-Shafer theory. 63-66 - Chen Chen, Venkaiah C. Kavuri, Xinlong Wang, Ruoyu Li, Hanli Liu, Junzhou Huang:
Multi-frequency diffuse optical tomography for cancer detection. 67-70 - Nooshin Nabizadeh, Mohsen Dorodchi, Miroslav Kubat:
Automatic tumor lesion detection and segmentation using modified winnow algorithm. 71-74 - Alexander Wong, Farzad Khalvati, Masoom A. Haider:
Dual-stage correlated diffusion imaging. 75-78 - Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. 79-83 - Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen:
Radiomics texture feature extraction for characterizing GBM phenotypes using GLCM. 84-87
Machine Learning in Medical Imaging I (Poster Session)
- Aya F. Khalaf, Inas A. Yassine:
Spectral correlation analysis for microcalcification detection in digital mammogram images. 88-91 - Benjamin S. C. Wade, Shantanu H. Joshi, Tara Pirnia, Amber M. Leaver, Roger P. Woods, Paul M. Thompson, Randall Espinoza, Katherine L. Narr:
Random forest classification of depression status based on subcortical brain morphometry following electroconvulsive therapy. 92-96 - Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger:
Learning to combine decisions from multiple mammography views. 97-100 - Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. 101-104 - Jorge D. Calderon-Contreras, Mario Ignacio Chacon Murguia, Adrian J. Villalobos-Montiel, Leticia Ortega Maynez:
A fuzzy computer aided diagnosis system using breast thermography. 105-108 - Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. 109-113 - Abd-Krim Seghouane, Adnan Shah:
Consistent estimation of the FMRI hemodynamic response function in AR(1) noise. 114-117
Image Analysis for Brain Diseases I (Poster Session)
- Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg:
Parkinsonian differentiation using PCA image correlation scores. 118-121 - Meriem El Azami, Romain Bouet, Julien Jung, Alexander Hammers, Carole Lartizien:
Combining multi-parametric MR images for the detection of epileptogenic lesions. 122-125 - Ayse Demirhan, Talia M. Nir, Artemis Zavaliangos-Petropulu, Clifford R. Jack, Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson, Neda Jahanshad:
Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images. 126-130 - Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson:
Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition. 131-135 - Hrishikesh Deshpande, Pierre Maurel, Christian Barillot:
Adaptive dictionary learning for competitive classification of multiple sclerosis lesions. 136-139 - Yan Jin, Yonggang Shi, Liang Zhan, Paul M. Thompson:
Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease. 140-143
Pediatric and Fetal Imaging (Poster Session)
- Vahid Taimouri, Ali Gholipour, Clemente Velasco-Annis, Judy A. Estroff, Simon K. Warfield:
A template-to-slice block matching approach for automatic localization of brain in fetal MRI. 144-147 - Jessica Lebenberg, Cyril Poupon, Bertrand Thirion, François Leroy, Jean-François Mangin, Ghislaine Dehaene-Lambertz, Jessica Dubois:
Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI. 148-151 - Antonietta Pepe, Guillaume Auzias, François De Guio, François Rousseau, David Germanaud, Jean-François Mangin, Nadine Girard, Olivier Coulon, Julien Lefèvre:
Spectral clustering based parcellation of FETAL brain MRI. 152-155 - Christopher P. Bridge, J. Alison Noble:
Object localisation in fetal ultrasound images using invariant features. 156-159
Biological Imaging and Applications I (Poster Session)
- Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter:
Infering an ontology of single cell motions from high-throughput microscopy data. 160-163 - Topaz Gilad, Mark-Anthony Bray, Anne E. Carpenter, Tammy Riklin Raviv:
Symmetry-based mitosis detection in time-lapse microscopy. 164-167 - Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng:
Interactive exemplar-based segmentation toolkit for biomedical image analysis. 168-171 - Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot:
A model of the spatial microenvironment of the colonic crypt. 172-176 - Wencong Zhang, Jaewook Yoo, John Keyser, Louise C. Abbott, Yoonsuck Choe:
Real-time detection of imaging errors in the Knife-Edge Scanning Microscope through change detection. 177-181 - Yanhui Liang, Fusheng Wang, Darren Treanor, Derek R. Magee, George Teodoro, Yangyang Zhu, Jun Kong:
Liver whole slide image analysis for 3D vessel reconstruction. 182-185
Biological Imaging and Machine Learning (Poster Session)
- Masoud S. Nosrati, Ghassan Hamarneh:
Segmentation of overlapping cervical cells: A variational method with star-shape prior. 186-189 - Yunxiang Mao, Zhaozheng Yin, Joseph M. Schober:
Iteratively training classifiers for circulating tumor cell detection. 190-194 - Sunhua Wan, Xiaolei Huang, Hsiang-Chieh Lee, James G. Fujimoto, Chao Zhou:
Spoke-LBP and ring-LBP: New texture features for tissue classification. 195-199 - Joakim Andén, Eugene Katsevich, Amit Singer:
Covariance estimation using conjugate gradient for 3D classification in CRYO-EM. 200-204 - Manish Sapkota, Fuyong Xing, Hai Su, Lin Yang:
Automatic muscle perimysium annotation using deep convolutional neural network. 205-208
Ophtalmology Imaging I (Poster Session)
- Mehmet Yigitsoy, Vasileios Belagiannis, Aleksander Djurka, Amin Katouzian, Slobodan Ilic, Franjo Pernus, Abouzar Eslami, Nassir Navab:
Random ferns for multiple target tracking in microscopic retina image sequences. 209-212 - Nathan Hammes, Lyne Racette, Brian C. Samuels, Gavriil Tsechpenakis:
Retinal thickness estimation from SD-OCT macular scans. 213-217 - Dwarikanath Mahapatra, Joachim M. Buhmann:
A field of experts model for optic cup and disc segmentation from retinal fundus images. 218-221 - Akram Belghith, Christopher Bowd, Felipe A. Medeiros, Robert N. Weinreb, Linda M. Zangwill:
Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes? 222-225 - Ahmadreza Baghaie, Roshan M. D'Souza, Zeyun Yu:
Sparse and low rank decomposition based batch image alignment for speckle reduction of retinal OCT images. 226-230
Ultrasound Imaging I (Poster Session)
- Edmundo Pozo, Benjamín Castañeda, Jeremy J. Dahl, Roberto J. Lavarello:
A comparison between generalized coherence factor and short-LAG spatial coherence methods. 231-234 - Ningning Zhao, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret:
Joint Bayesian deconvolution and pointspread function estimation for ultrasound imaging. 235-238 - Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana:
Informational modeling of tissue-like materials using ultrasound. 239-242 - Shuang Yu, Kok Kiong Tan, Ban Leong Sng, Shengjin Li, Alex Tiong Heng Sia:
Real-time automatic spinal level identification with ultrasound image processing. 243-246 - Marissa Gray, Herman Morchel, Vikki Hazelwood:
Evaluating the effect of bit rate on the quality of portable ultrasound video. 247-250
Resting State fMRI (Special Session)
- Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Robyn L. Miller, Mustafa S. Çetin, Godfrey D. Pearlson, Vince D. Calhoun:
Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity. 251-254
Ultrasound Imaging (Oral Session)
- Mehrdad J. Gangeh, Hadi Tadayyon, Lakshmanan Sannachi, Ali Sadeghi-Naini, Gregory J. Czarnota:
Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring. 255-259 - Rui Jia, Andrew Paul Monk, David William Murray, Stephen J. Mellon, J. Alison Noble:
Greater trochanter tracking in ultrasound imaging during gait. 260-263 - Renaud Morin, Björn Eiben, Luc M. Bidaut, John H. Hipwell, Andrew Evans, David J. Hawkes:
3D ultrasound simulation based on a biomechanical model of prone MRI in breast cancer imaging. 264-267 - Roberto Ardon, Rémi Cuingnet, Ketan Bacchuwar, Vincent Auvray:
Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3D ultrasound images. 268-271 - Claudia Sciallero, Andrea Trucco:
Concentration estimation of ultrasound targeted microbubbles for improving cancer detection: A preliminary in VIVO study. 272-275
Computer Aided Diagnosis (Oral Session)
- Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas:
Leveraging coupled multi-index for scalable retrieval of mammographic masses. 276-280 - Tao Xu, Edward Kim, Xiaolei Huang:
Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis. 281-285 - Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi:
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. 286-289 - Maria A. Zuluaga, Ninon Burgos, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases. 290-293 - Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology detection using deep learning with non-medical training. 294-297
Registration Methods for Biological Imaging (Oral Session)
- Gael Michelin, Léo Guignard, Ulla-Maj Fiuza, Patrick Lemaire, Christophe Godin, Grégoire Malandain:
Cell pairings for ascidian embryo registration. 298-301 - J. Samuel Preston, Sarang C. Joshi, Ross T. Whitaker:
Multiscale MRF optimization for robust registration of 2D biological data. 302-305 - Nikhil Chacko, Kevin G. Chan, Michael Liebling:
Intensity-based point-spread-function-aware registration for multi-view applications in optical microscopy. 306-309 - Sailesh Conjeti, Mehmet Yigitsoy, Tingying Peng, Debdoot Sheet, Jyotirmoy Chatterjee, Christine Bayer, Nassir Navab, Amin Katouzian:
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. 310-313 - Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde:
A symmetric deformation-based similarity measure for shape analysis. 314-318
Compressed Sensing MRI (Oral Session)
- Sunrita Poddar, Mathews Jacob:
Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI. 319-322 - Tae Hyung Kim, Justin P. Haldar:
SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. 323-326 - Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. 327-330 - Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Leslie Ying:
Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D). 331-334 - Itthi Chatnuntawech, Berkin Bilgic, Adrián Martín, Kawin Setsompop, Elfar Adalsteinsson:
Fast reconstruction for accelerated multi-slice multi-contrast MRI. 335-338
EEG and MEG Imaging (Oral Session)
- Silvia Francesca Storti, Emanuela Formaggio, Massimo Melucci, Fabio Faralli, Lucio Ricciardi, Gloria Menegaz, Lucio Pastena:
Alterations of source and connectivity EEG patterns under simulated deep-SEA condition. 339-342 - Rodolfo Abreu, Marco Leite, Alberto Leal, Patrícia Figueiredo:
STTICS: A template-based algorithm for the objective selection of epilepsy-related EEG ICA components. 343-346 - Burak Erem, Damon Hyde, Jurriaan M. Peters, Frank H. Duffy, Dana H. Brooks, Simon K. Warfield:
Combined delay and graph embedding of epileptic discharges in EEG reveals complex and recurrent nonlinear dynamics. 347-350 - Yuan Wang, Hernando Ombao, Moo K. Chung:
Topological seizure origin detection in electroencephalographic signals. 351-354 - Juan L. P. Soto, Karim Jerbi:
Detection of condition-based changes in cross-frequency coupling with MEG. 355-358
Image Segmentation I (Oral Session)
- Romane Gauriau, Roberto Ardori, David Lesage, Isabelle Bloch:
Multiple template deformation application to abdominal organ segmentation. 359-362 - Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Local atlas selection for discrete multi-atlas segmentation. 363-367 - Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker:
A Bayesian formulation of graph-cut surface estimation with global shape priors. 368-371 - Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa:
A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images. 372-375 - Long Xie, Suman Sedai, Xi Liang, Colin B. Compas, Hongzhi Wang, Paul A. Yushkevich, Tanveer F. Syeda-Mahmood:
Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. 376-379
Time Lapse Microscopy (Oral Session)
- Klas E. G. Magnusson, Joakim Jaldén:
Tracking of non-brownian particles using the Viterbi algorithm. 380-384 - Kevin G. Chan, Michael Liebling:
Estimation of divergence-free 3D cardiac blood flow in a zebrafish larva using multi-view microscopy. 385-388 - Aisha Khan, Stephen Gould, Mathieu Salzmann:
Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images. 389-393 - Martin Schiegg, Ben Heuer, Carsten Haubold, Steffen Wolf, Ullrich Köthe, Fred A. Hamprecht:
Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. 394-398 - Nicolas Chenouard, Richard W. Tsien:
An algorithm for piecewise-constant velocity estimation and application to particle trajectories in microscopy. 399-402
Machine Learning in Medical Imaging II (Poster Session)
- Adrien Depeursinge, Pedram Pad, Anne S. Chin, Ann N. Leung, Daniel L. Rubin, Henning Müller, Michael Unser:
Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia. 403-406 - Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan:
Multi-phase liver lesions classification using relevant visual words based on mutual information. 407-410 - Abhishek Midya, Jayasree Chakraborty:
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns. 411-414 - Ayse Elif Ozturk, Murat Ceylan:
Fusion and ANN based classification of liver focal lesions using phases in magnetic resonance imaging. 415-419 - Siyamalan Manivannan, Emanuele Trucco:
Learning discriminative local features from image-level labelled data for colonoscopy image classification. 420-423 - Yefeng Zheng:
Cross-modality medical image detection and segmentation by transfer learning of shapel priors. 424-427 - Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab Kumar Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian:
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. 428-431
Diffusion MR Imaging I (Poster Session)
- Yan Jin, Hasan Ertan Çetingül:
Tractography-embedded white matter stream clustering. 432-435 - Rutger Henri Jacques Fick, Mauro Zucchelli, Gabriel Girard, Maxime Descoteaux, Gloria Menegaz, Rachid Deriche:
Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition. 436-439 - Claudio Román, Pamela Guevara, Miguel Guevara, Delphine Duclap, Alice Lebois, Cyril Poupon, Jean-François Mangin:
Automatic clustering of short association white matter fibers from HARDI tractography datasets. 440-444 - Sandrine Lefranc, Zhong Yi Sun, Pauline Roca, Cyril Poupon, Denis Le Bihan, Jean-François Mangin, Denis Rivière:
Concomitant variability of the central sulcus morphology and adjacent connectivity patterns. 445-448 - Liang Zhan, Neda Jahanshad, Joshua Faskowitz, Dajiang Zhu, Gautam Prasad, Nicholas G. Martin, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson:
Heritability of brain network topology in 853 twins and siblings. 449-453 - Georgius A. M. Arkesteijn, Dirk H. J. Poot, Meike de Groot, Meike W. Vernooij, Wiro J. Niessen, Lucas J. van Vliet, Frans M. Vos:
CSF contamination-invariant statistics in diffusion-weighted MRI. 454-457 - Madelaine Daianu, Adam Mezher, Neda Jahanshad, Derrek P. Hibar, Talia M. Nir, Clifford R. Jack Jr., Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson:
Spectral graph theory and graph energy metrics show evidence for the alzheimer's disease disconnection syndrome in APOE-4 risk gene carriers. 458-461