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597 results on '"Papademetris, Xenophon"'

4. Multiple-shooting adjoint method for whole-brain dynamic causal modeling

Author

Zhuang, Juntang, Dvornek, Nicha, Tatikonda, Sekhar, Papademetris, Xenophon, Ventola, Pamela, and Duncan, James

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Machine Learning
Abstract

Dynamic causal modeling (DCM) is a Bayesian framework to infer directed connections between compartments, and has been used to describe the interactions between underlying neural populations based on functional neuroimaging data. DCM is typically analyzed with the expectation-maximization (EM) algorithm. However, because the inversion of a large-scale continuous system is difficult when noisy observations are present, DCM by EM is typically limited to a small number of compartments ($<10$). Another drawback with the current method is its complexity; when the forward model changes, the posterior mean changes, and we need to re-derive the algorithm for optimization. In this project, we propose the Multiple-Shooting Adjoint (MSA) method to address these limitations. MSA uses the multiple-shooting method for parameter estimation in ordinary differential equations (ODEs) under noisy observations, and is suitable for large-scale systems such as whole-brain analysis in functional MRI (fMRI). Furthermore, MSA uses the adjoint method for accurate gradient estimation in the ODE; since the adjoint method is generic, MSA is a generic method for both linear and non-linear systems, and does not require re-derivation of the algorithm as in EM. We validate MSA in extensive experiments: 1) in toy examples with both linear and non-linear models, we show that MSA achieves better accuracy in parameter value estimation than EM; furthermore, MSA can be successfully applied to large systems with up to 100 compartments; and 2) using real fMRI data, we apply MSA to the estimation of the whole-brain effective connectome and show improved classification of autism spectrum disorder (ASD) vs. control compared to using the functional connectome. The package is provided \url{https://jzkay12.github.io/TorchDiffEqPack}, Comment: 27th International Conference on Information Processing in Medical Imaging

Published
2021

5. AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Author

Zhuang, Juntang, Tang, Tommy, Ding, Yifan, Tatikonda, Sekhar, Dvornek, Nicha, Papademetris, Xenophon, and Duncan, James S.

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

Most popular optimizers for deep learning can be broadly categorized as adaptive methods (e.g. Adam) and accelerated schemes (e.g. stochastic gradient descent (SGD) with momentum). For many models such as convolutional neural networks (CNNs), adaptive methods typically converge faster but generalize worse compared to SGD; for complex settings such as generative adversarial networks (GANs), adaptive methods are typically the default because of their stability.We propose AdaBelief to simultaneously achieve three goals: fast convergence as in adaptive methods, good generalization as in SGD, and training stability. The intuition for AdaBelief is to adapt the stepsize according to the "belief" in the current gradient direction. Viewing the exponential moving average (EMA) of the noisy gradient as the prediction of the gradient at the next time step, if the observed gradient greatly deviates from the prediction, we distrust the current observation and take a small step; if the observed gradient is close to the prediction, we trust it and take a large step. We validate AdaBelief in extensive experiments, showing that it outperforms other methods with fast convergence and high accuracy on image classification and language modeling. Specifically, on ImageNet, AdaBelief achieves comparable accuracy to SGD. Furthermore, in the training of a GAN on Cifar10, AdaBelief demonstrates high stability and improves the quality of generated samples compared to a well-tuned Adam optimizer. Code is available at https://github.com/juntang-zhuang/Adabelief-Optimizer

Published
2020

6. Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

Author

Zhuang, Juntang, Dvornek, Nicha, Li, Xiaoxiao, Tatikonda, Sekhar, Papademetris, Xenophon, and Duncan, James

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Neural ordinary differential equations (NODEs) have recently attracted increasing attention; however, their empirical performance on benchmark tasks (e.g. image classification) are significantly inferior to discrete-layer models. We demonstrate an explanation for their poorer performance is the inaccuracy of existing gradient estimation methods: the adjoint method has numerical errors in reverse-mode integration; the naive method directly back-propagates through ODE solvers, but suffers from a redundantly deep computation graph when searching for the optimal stepsize. We propose the Adaptive Checkpoint Adjoint (ACA) method: in automatic differentiation, ACA applies a trajectory checkpoint strategy which records the forward-mode trajectory as the reverse-mode trajectory to guarantee accuracy; ACA deletes redundant components for shallow computation graphs; and ACA supports adaptive solvers. On image classification tasks, compared with the adjoint and naive method, ACA achieves half the error rate in half the training time; NODE trained with ACA outperforms ResNet in both accuracy and test-retest reliability. On time-series modeling, ACA outperforms competing methods. Finally, in an example of the three-body problem, we show NODE with ACA can incorporate physical knowledge to achieve better accuracy. We provide the PyTorch implementation of ACA: \url{https://github.com/juntang-zhuang/torch-ACA}.

Published
2020

7. Evaluation of CT Image Synthesis Methods:From Atlas-based Registration to Deep Learning

Author

Lauritzen, Andreas D., Papademetris, Xenophon, Turovets, Sergei, and Onofrey, John A.

Subjects
Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Computed tomography (CT) is a widely used imaging modality for medical diagnosis and treatment. In electroencephalography (EEG), CT imaging is necessary for co-registering with magnetic resonance imaging (MRI) and for creating more accurate head models for the brain electrical activity due to better representation of bone anatomy. Unfortunately, CT imaging exposes patients to potentially harmful sources of ionizing radiation. Image synthesis methods present a solution for avoiding extra radiation exposure. In this paper, we perform image synthesis to create a realistic, synthetic CT image from MRI of the same subject, and we present a comparison of different image synthesis techniques. Using a dataset of 30 paired MRI and CT image volumes, our results compare image synthesis using deep neural network regression, state-of-the-art adversarial deep learning, as well as atlas-based synthesis utilizing image registration. We also present a novel synthesis method that combines multi-atlas registration as a prior to deep learning algorithms, in which we perform a weighted addition of synthetic CT images, derived from atlases, to the output of a deep neural network to obtain a residual type of learning. In addition to evaluating the quality of the synthetic CT images, we also demonstrate that image synthesis methods allow for more accurate bone segmentation using the synthetic CT imaging than would otherwise be possible by segmenting the bone in the MRI directly.

Published
2019

8. High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways

Author

Weinschutz Mendes, Hellen, Neelakantan, Uma, Liu, Yunqing, Fitzpatrick, Sarah E., Chen, Tianying, Wu, Weimiao, Pruitt, April, Jin, David S., Jamadagni, Priyanka, Carlson, Marina, Lacadie, Cheryl M., Enriquez, Kristen D., Li, Ningshan, Zhao, Dejian, Ijaz, Sundas, Sakai, Catalina, Szi, Christina, Rooney, Brendan, Ghosh, Marcus, Nwabudike, Ijeoma, Gorodezky, Andrea, Chowdhury, Sumedha, Zaheer, Meeraal, McLaughlin, Sarah, Fernandez, Joseph M., Wu, Jia, Eilbott, Jeffrey A., Vander Wyk, Brent, Rihel, Jason, Papademetris, Xenophon, Wang, Zuoheng, and Hoffman, Ellen J.

Published
2023
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14. Multisite reliability of MR-based functional connectivity.

Author

Noble, Stephanie, Scheinost, Dustin, Finn, Emily S, Shen, Xilin, Papademetris, Xenophon, McEwen, Sarah C, Bearden, Carrie E, Addington, Jean, Goodyear, Bradley, Cadenhead, Kristin S, Mirzakhanian, Heline, Cornblatt, Barbara A, Olvet, Doreen M, Mathalon, Daniel H, McGlashan, Thomas H, Perkins, Diana O, Belger, Aysenil, Seidman, Larry J, Thermenos, Heidi, Tsuang, Ming T, van Erp, Theo GM, Walker, Elaine F, Hamann, Stephan, Woods, Scott W, Cannon, Tyrone D, and Constable, R Todd

Subjects
Brain, Neural Pathways, Humans, Magnetic Resonance Imaging, Brain Mapping, Longitudinal Studies, Reproducibility of Results, Adult, Female, Male, Multicenter Studies as Topic, Young Adult, Neurosciences, Clinical Research, Biomedical Imaging, Clinical Trials and Supportive Activities, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Recent years have witnessed an increasing number of multisite MRI functional connectivity (fcMRI) studies. While multisite studies provide an efficient way to accelerate data collection and increase sample sizes, especially for rare clinical populations, any effects of site or MRI scanner could ultimately limit power and weaken results. Little data exists on the stability of functional connectivity measurements across sites and sessions. In this study, we assess the influence of site and session on resting state functional connectivity measurements in a healthy cohort of traveling subjects (8 subjects scanned twice at each of 8 sites) scanned as part of the North American Prodrome Longitudinal Study (NAPLS). Reliability was investigated in three types of connectivity analyses: (1) seed-based connectivity with posterior cingulate cortex (PCC), right motor cortex (RMC), and left thalamus (LT) as seeds; (2) the intrinsic connectivity distribution (ICD), a voxel-wise connectivity measure; and (3) matrix connectivity, a whole-brain, atlas-based approach to assessing connectivity between nodes. Contributions to variability in connectivity due to subject, site, and day-of-scan were quantified and used to assess between-session (test-retest) reliability in accordance with Generalizability Theory. Overall, no major site, scanner manufacturer, or day-of-scan effects were found for the univariate connectivity analyses; instead, subject effects dominated relative to the other measured factors. However, summaries of voxel-wise connectivity were found to be sensitive to site and scanner manufacturer effects. For all connectivity measures, although subject variance was three times the site variance, the residual represented 60-80% of the variance, indicating that connectivity differed greatly from scan to scan independent of any of the measured factors (i.e., subject, site, and day-of-scan). Thus, for a single 5min scan, reliability across connectivity measures was poor (ICC=0.07-0.17), but increased with increasing scan duration (ICC=0.21-0.36 at 25min). The limited effects of site and scanner manufacturer support the use of multisite studies, such as NAPLS, as a viable means of collecting data on rare populations and increasing power in univariate functional connectivity studies. However, the results indicate that aggregation of fcMRI data across longer scan durations is necessary to increase the reliability of connectivity estimates at the single-subject level.

Published
2017

15. Aging-Dependent Loss of Connectivity in Alzheimer’s Model Mice with Rescue by mGluR5 Modulator

Author

Mandino, Francesca, primary, Shen, Xilin, additional, Desrosiers-Gregoire, Gabriel, additional, O’Connor, David, additional, Mukherjee, Bandhan, additional, Owens, Ashley, additional, Qu, An, additional, Onofrey, John, additional, Papademetris, Xenophon, additional, Chakravarty, M. Mallar, additional, Strittmatter, Stephen M, additional, and Lake, Evelyn MR, additional

Published
2023
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19. Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks

Author

Sadda, Praneeth, Onofrey, John A., Papademetris, Xenophon, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Stoyanov, Danail, editor, Taylor, Zeike, editor, Balocco, Simone, editor, Sznitman, Raphael, editor, Martel, Anne, editor, Maier-Hein, Lena, editor, Duong, Luc, editor, Zahnd, Guillaume, editor, Demirci, Stefanie, editor, Albarqouni, Shadi, editor, Lee, Su-Lin, editor, Moriconi, Stefano, editor, Cheplygina, Veronika, editor, Mateus, Diana, editor, Trucco, Emanuele, editor, Granger, Eric, editor, and Jannin, Pierre, editor

Published
2018
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20. Better Feature Matching for Placental Panorama Construction

Author

Sadda, Praneeth, Onofrey, John A., Bahtiyar, Mert O., Papademetris, Xenophon, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Melbourne, Andrew, editor, Licandro, Roxane, editor, DiFranco, Matthew, editor, Rota, Paolo, editor, Gau, Melanie, editor, Kampel, Martin, editor, Aughwane, Rosalind, editor, Moeskops, Pim, editor, Schwartz, Ernst, editor, Robinson, Emma, editor, and Makropoulos, Antonios, editor

Published
2018
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24. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization

Author

Vafaii, Hadi, primary, Mandino, Francesca, additional, Desrosiers-Gregoire, Gabriel, additional, O'Connor, David, additional, shen, xilin, additional, Ge, Xinxin, additional, Herman, Peter, additional, Hyder, Fahmeed, additional, Papademetris, Xenophon, additional, Chakravarty, M, additional, Crair, Michael, additional, Constable, R. Todd, additional, Lake, Evelyn, additional, and Pessoa, Luiz, additional

Published
2023
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25. MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention

Author

Onofrey, John A., Oksuz, Ilkay, Sarkar, Saradwata, Venkataraman, Rajesh, Staib, Lawrence H., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tsaftaris, Sotirios A., editor, Gooya, Ali, editor, Frangi, Alejandro F., editor, and Prince, Jerry L., editor

Published
2016
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28. Brain Registration and Evaluation for Zebrafish

Author

Jin, David S., Neelakantan, Uma, Lacadie, Cheryl M., Tianying Chen, Rooney, Brendan, Liu, Yunqing, Wu, Weimiao, Wang, Zuoheng, Papademetris, Xenophon, and Hoffman, Ellen J.

Abstract

This repository contains three zipped folders: 1. bin.zip: The scripts and files to be placed into the bin directory. 2. pre-processing.zip: Initial preprocessing scripts for generating maximum intensity projections and their summary documents. 3. test.zip: Twodatasets containing confocal microscope z-stack image files (.lif) of larvalbrains ofzebrafishmutants of two autism risk genes (Weinschutz Mendes et al. 2023).

Published
2023
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29. Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration

Author

Onofrey, John A., Staib, Lawrence H., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ourselin, Sebastien, editor, Alexander, Daniel C., editor, Westin, Carl-Fredrik, editor, and Cardoso, M. Jorge, editor

Published
2015
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30. Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size

Author

Johnson, Matthew B., Sun, Xingshen, Kodani, Andrew, Borges-Monroy, Rebeca, Girskis, Kelly M., Ryu, Steven C., Wang, Peter P., Patel, Komal, Gonzalez, Dilenny M., Woo, Yu Mi, Yan, Ziying, Liang, Bo, Smith, Richard S., Chatterjee, Manavi, Coman, Daniel, Papademetris, Xenophon, Staib, Lawrence H., Hyder, Fahmeed, Mandeville, Joseph B., Grant, P. Ellen, Im, Kiho, Kwak, Hojoong, Engelhardt, John F., Walsh, Christopher A., and Bae, Byoung-Il

Published
2018
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32. Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data

Author

Scheinost, Dustin, Shen, Xilin, Finn, Emily, Sinha, Rajita, Constable, R. Todd, Papademetris, Xenophon, Farin, Gerald, Series editor, Hege, Hans-Christian, Series editor, Hoffman, David, Series editor, Johnson, Christopher R., Series editor, Polthier, Konrad, Series editor, Rumpf, Martin, Series editor, Schultz, Thomas, editor, Nedjati-Gilani, Gemma, editor, Venkataraman, Archana, editor, O'Donnell, Lauren, editor, and Panagiotaki, Eleftheria, editor

Published
2014
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33. Semi-supervised Learning of Nonrigid Deformations for Image Registration

Author

Onofrey, John A., Staib, Lawrence H., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Menze, Bjoern, editor, Langs, Georg, editor, Montillo, Albert, editor, Kelm, Michael, editor, Müller, Henning, editor, and Tu, Zhuowen, editor

Published
2014
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34. Noninvasive In Vivo Quantification of Adeno-Associated Virus Serotype 9–Mediated Expression of the Sodium/Iodide Symporter Under Hindlimb Ischemia and Neuraminidase Desialylation in Skeletal Muscle Using Single-Photon Emission Computed Tomography/Computed Tomography

Author

Boutagy, Nabil E., Ravera, Silvia, Papademetris, Xenophon, Onofrey, John A., Zhuang, Zhen W., Wu, Jing, Feher, Attila, Stacy, Mitchel R., French, Brent A., Annex, Brian H., Carrasco, Nancy, and Sinusas, Albert J.

Published
2019
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37. Functional network organization of the mouse cortex determined by wide-field fluorescence imaging shares some —but not all—properties revealed with simultaneous fMRI-BOLD

Author

Vafaii, Hadi, primary, Mandino, Francesca, additional, Desrosiers-Grégoire, Gabriel, additional, O’Connor, David, additional, Shen, Xilin, additional, Ge, Xinxin, additional, Herman, Peter, additional, Hyder, Fahmeed, additional, Papademetris, Xenophon, additional, Chakravarty, Mallar, additional, Crair, Michael C., additional, Constable, R. Todd, additional, Lake, Evelyn MR., additional, and Pessoa, Luiz, additional

Published
2022
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40. Learning Nonrigid Deformations for Constrained Multi-modal Image Registration

Author

Onofrey, John A., Staib, Lawrence H., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Mori, Kensaku, editor, Sakuma, Ichiro, editor, Sato, Yoshinobu, editor, Barillot, Christian, editor, and Navab, Nassir, editor

Published
2013
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41. A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography

Author

Huang, Xiaojie, Dione, Donald P., Compas, Colin B., Papademetris, Xenophon, Lin, Ben A., Sinusas, Albert J., Duncan, James S., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ayache, Nicholas, editor, Delingette, Hervé, editor, Golland, Polina, editor, and Mori, Kensaku, editor

Published
2012
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42. Integrated Parcellation and Normalization Using DTI Fasciculography

Author

Ho, Hon Pong, Wang, Fei, Papademetris, Xenophon, Blumberg, Hilary P., Staib, Lawrence H., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Fichtinger, Gabor, editor, Martel, Anne, editor, and Peters, Terry, editor

Published
2011
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43. Vessel Connectivity Using Murray’s Hypothesis

Author

Jiang, Yifeng, Zhuang, Zhen W., Sinusas, Albert J., Staib, Lawrence H., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Fichtinger, Gabor, editor, Martel, Anne, editor, and Peters, Terry, editor

Published
2011
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44. Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy

Author

Lu, Chao, Chelikani, Sudhakar, Chen, Zhe, Papademetris, Xenophon, Staib, Lawrence H., Duncan, James S., Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
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46. Volumetric Shape Model for Oriented Tubular Structure from DTI Data

Author

Ho, Hon Pong, Papademetris, Xenophon, Wang, Fei, Blumberg, Hilary P., Staib, Lawrence H., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yang, Guang-Zhong, editor, Hawkes, David, editor, Rueckert, Daniel, editor, Noble, Alison, editor, and Taylor, Chris, editor

Published
2009
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47. A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography

Author

Zhu, Yun, Papademetris, Xenophon, Sinusas, Albert J., Duncan, James S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Yang, Guang-Zhong, editor, Hawkes, David, editor, Rueckert, Daniel, editor, Noble, Alison, editor, and Taylor, Chris, editor

Published
2009
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48. A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images

Author

Suh, Jung W., Scheinost, Dustin, Dione, Donald P., Dobrucki, Lawrence W., Sinusas, Albert J., Papademetris, Xenophon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Yang, Guang-Zhong, editor, Hawkes, David, editor, Rueckert, Daniel, editor, Noble, Alison, editor, and Taylor, Chris, editor

Published
2009
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49. Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model

Author

Zhu, Yun, Papademetris, Xenophon, Sinusas, Albert J., Duncan, James S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Metaxas, Dimitris, editor, Axel, Leon, editor, Fichtinger, Gabor, editor, and Székely, Gábor, editor

Published
2008
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50. Bayesian Analysis of fMRI Data with ICA Based Spatial Prior

Author

Bathula, Deepti R., Tagare, Hemant D., Staib, Lawrence H., Papademetris, Xenophon, Schultz, Robert T., Duncan, James S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Metaxas, Dimitris, editor, Axel, Leon, editor, Fichtinger, Gabor, editor, and Székely, Gábor, editor

Published
2008
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