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ORCID26th IPMI 2019: Hong Kong, China
- Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao:
Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings. Lecture Notes in Computer Science 11492, Springer 2019, ISBN 978-3-030-20350-4
Segmentation
- Rohit Jena, Suyash P. Awate
:
A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. 3-15 - James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. 16-28 - Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised and Task-Driven Data Augmentation. 29-41
Classification and Inference
- Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews:
Analyzing Brain Morphology on the Bag-of-Features Manifold. 45-56 - Sara Garbarino, Marco Lorenzi:
Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks. 57-69
Deep Learning
- Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. 73-85 - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Adaptive Graph Convolution Pooling for Brain Surface Analysis. 86-98 - Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh:
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. 99-111 - Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. 112-124 - Yuan Xue, Xiaolei Huang:
Improved Disease Classification in Chest X-Rays with Transferred Features from Report Generation. 125-138
Reconstruction
- Bo Zhou, Xunyu Lin, Brendan L. Eck:
Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptation. 141-152 - Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang:
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. 153-166
Disease Modeling
- Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein:
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. 169-180
Shape
- Babak Samari, Tabish A. Syed, Kaleem Siddiqi:
Minimizing Non-holonomicity: Finding Sheets in Fibrous Structures. 183-194 - Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman:
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. 195-207 - Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Laurent Younes, Alison M. Pouch:
Diffeomorphic Medial Modeling. 208-220 - Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. 221-234
Registration
- Thomas Bazeille, Hugo Richard, Hicham Janati, Bertrand Thirion:
Local Optimal Transport for Functional Brain Template Estimation. 237-248 - Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. 249-261
Learning Motion
- Markus D. Foote, Blake E. Zimmerman, Amit Sawant, Sarang C. Joshi:
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting. 265-276 - Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. 277-288
Functional Imaging
- Jeff Craley, Emily Johnson, Archana Venkataraman:
Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG. 291-303 - Zhiyuan Zhu, Zonglei Zhen, Xia Wu:
A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation. 304-315
White Matter Imaging
- Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Asymmetry Spectrum Imaging for Baby Diffusion Tractography. 319-331 - Junyan Wang, Yonggang Shi:
A Fast Fiber k-Nearest-Neighbor Algorithm with Application to Group-Wise White Matter Topography Analysis. 332-344
Posters
- Elena Balashova, Jiangping Wang, Vivek K. Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor:
3D Organ Shape Reconstruction from Topogram Images. 347-359 - Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. 360-371 - Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Pierre-Alexandre Poletti, Henning Müller:
A Graph Model of the Lungs with Morphology-Based Structure for Tuberculosis Type Classification. 372-383 - Fan Yang, Samadrita Roy Chowdhury, Heidi I. L. Jacobs, Keith A. Johnson, Joyita Dutta:
A Longitudinal Model for Tau Aggregation in Alzheimer's Disease Based on Structural Connectivity. 384-393 - Jiahui Li, Zhiqiang Hu, Shuang Yang:
Accurate Nuclear Segmentation with Center Vector Encoding. 394-404 - Yuan Zhou, Hemant D. Tagare:
Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images. 405-416 - Yan Shen, Mingchen Gao:
Brain Tumor Segmentation on MRI with Missing Modalities. 417-428 - Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. 429-440 - 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. 441-453 - Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion:
ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data. 454-466 - Sheng Wang, Zheng Xu, Chaochao Yan, Junzhou Huang:
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos. 467-478 - Jierong Wang, Albert C. S. Chung:
High-Order Oriented Cylindrical Flux for Curvilinear Structure Detection and Vessel Segmentation. 479-491 - Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. 492-504 - Benjamín Gutiérrez-Becker, Christian Wachinger:
Learning a Conditional Generative Model for Anatomical Shape Analysis. 505-516 - Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab:
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. 517-529 - Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. 530-541 - Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman:
Riemannian Geometry Learning for Disease Progression Modelling. 542-553 - Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye:
Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. 554-565 - Chun-Hao Yang, Baba C. Vemuri:
Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging. 566-578 - Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. 579-591 - Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. 592-604 - Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. 605-616 - Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang:
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. 617-630 - Siyuan Gao, Gal Mishne, Dustin Scheinost:
A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data. 631-643 - Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon, Michael I. Miller, Laurent Younes:
A Model for Elastic Evolution on Foliated Shapes. 644-655 - Li Wang, Paul M. Thompson, Dajiang Zhu:
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. 656-668 - Yanfu Zhang, Heng Huang:
New Graph-Blind Convolutional Network for Brain Connectome Data Analysis. 669-681 - Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. 682-693 - Jian Wang, Wei W. Xing, Robert M. Kirby, Miaomiao Zhang:
Data-Driven Model Order Reduction for Diffeomorphic Image Registration. 694-705 - Tongtong Che, Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang, Jinyu Cong, Wanzhen Jiao, Bojun Zhao:
DGR-Net: Deep Groupwise Registration of Multispectral Images. 706-717 - Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. 718-730 - Jon Sporring, Rasmus Waagepetersen, Stefan Sommer:
Generalizations of Ripley's K-function with Application to Space Curves. 731-742 - Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort:
Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates. 743-754 - Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. 755-766 - Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. 767-779 - Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-Based Optimization of the Under-Sampling Pattern in MRI. 780-792 - Yiqi Yan, Jeremy Kawahara, Ghassan Hamarneh:
Melanoma Recognition via Visual Attention. 793-804 - Mikael Brudfors, Yaël Balbastre, John Ashburner:
Nonlinear Markov Random Fields Learned via Backpropagation. 805-817 - Thomas Yu, Marco Pizzolato, Gabriel Girard, Jonathan Rafael-Patino, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler. 818-829 - Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu:
SHAMANN: Shared Memory Augmented Neural Networks. 830-841 - Jiahui Li, Shuang Yang, Xiaodi Huang, Qian Da, Xiaoqun Yang, Zhiqiang Hu, Qi Duan, Chaofu Wang, Hongsheng Li:
Signet Ring Cell Detection with a Semi-supervised Learning Framework. 842-854 - Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. 855-866 - Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. 867-879
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