default search action
21st MICCAI 2018: Granada, Spain
- Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11072, Springer 2018, ISBN 978-3-030-00930-4
Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging
- Wen Zhang
, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
Multimodal Fusion of Brain Networks with Longitudinal Couplings. 3-11 - Ye Wu
Penalized Geodesic Tractography for Mitigating Gyral Bias. 12-19 - Peter F. Neher
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. 20-27 - Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. 28-35 - Jakob Wasserthal, Peter F. Neher
Tract Orientation Mapping for Bundle-Specific Tractography. 36-44 - Ye Wu
A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions. 45-52
Diffusion Tensor Imaging and Functional MRI: Diffusion Weighted Imaging
- Kanil Patel, Samuel Groeschel, Thomas Schultz
Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization. 55-62 - Sudhanya Chatterjee
Identification of Gadolinium Contrast Enhanced Regions in MS Lesions Using Brain Tissue Microstructure Information Obtained from Diffusion and T2 Relaxometry MRI. 63-71 - Aymeric Stamm
A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI. 72-80 - Stefano Pedemonte, Bernardo Bizzo
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. 81-88 - Tuo Zhang, Xiao Li, Lin Zhao
Identification of Species-Preserved Cortical Landmarks. 89-97 - Miguel Molina-Romero
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. 98-106 - Adriano Pinto, Sérgio Pereira
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. 107-115 - Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi:
Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. 116-124
Diffusion Tensor Imaging and Functional MRI: Functional MRI
- Seyed Mostafa Kia
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. 127-135 - Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. 136-144 - Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. 145-153 - David S. Lee, Joana R. Loureiro
Elastic Registration of Single Subject Task Based fMRI Signals. 154-162 - Niharika Shimona D'Souza, Mary Beth Nebel
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data. 163-171 - Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu:
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. 172-180 - Yu Zhao, Xiang Li
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). 181-189 - Chao Tang, Yuqing Wei, Jiajia Zhao, Jingxin Nie:
The Dynamic Measurements of Regional Brain Activity for Resting-State fMRI: d-ALFF, d-fALFF and d-ReHo. 190-197 - Anand A. Joshi
rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform. 198-205 - Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. 206-214 - Michael Hütel, Andrew Melbourne
Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI. 215-222 - Hongming Li, Xiaofeng Zhu
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. 223-231 - Hongming Li, Yong Fan:
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. 232-239 - Omar Dekhil, Mohamed T. Ali, Ahmed Shalaby, Ali Mahmoud, Andy Switala, Mohammed Ghazal
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports. 240-248 - Weizheng Yan
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. 249-257 - Takashi Matsubara
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. 258-266 - Michael Hütel, Andrew Melbourne
Cardiac Cycle Estimation for BOLD-fMRI. 267-274 - Eunsong Kang, Heung-Il Suk
Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification. 275-283 - Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network. 284-292 - Tae-Eui Kam, Han Zhang, Dinggang Shen:
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. 293-301 - Xiuyan Ni, Zhennan Yan, Tingting Wu
A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. 302-310 - César Caballero-Gaudes
Quantitative Deconvolution of fMRI Data with Multi-echo Sparse Paradigm Free Mapping. 311-319 - Hongming Li, Yong Fan:
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. 320-328 - Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. 329-337
Diffusion Tensor Imaging and Functional MRI: Human Connectome
- Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch
Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. 341-348 - Siyuan Gao, Abigail S. Greene
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. 349-356 - Shu Zhang, Tianming Liu, Dajiang Zhu:
Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. 357-366 - Zachery Morrissey
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. 367-374 - Samuel Deslauriers-Gauthier, Drew Parker, François Rheault, Rachid Deriche, Steven Brem, Maxime Descoteaux, Ragini Verma:
Edema-Informed Anatomically Constrained Particle Filter Tractography. 375-382 - Carla Semedo
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. 383-391 - Jian Cheng, Tao Liu, Feng Shi
On Quantifying Local Geometric Structures of Fiber Tracts. 392-400
Neuroimaging and Brain Segmentation Methods: Neuroimaging
- Zhuo Sun, Wei Xu, Shuhao Wang
Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization. 403-410 - Li Wang
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. 411-419 - Yonghui Fan, Gang Wang, Natasha Leporé, Yalin Wang
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis. 420-428 - Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Graph of Brain Structures Grading for Early Detection of Alzheimer's Disease. 429-436 - Can Gafuroglu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative:
Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. 437-445 - Xiaoqian Wang, Weidong Cai
Temporal Correlation Structure Learning for MCI Conversion Prediction. 446-454 - Yongsheng Pan
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. 455-463 - Samuel Gerber, Marc Niethammer, Martin Styner, Stephen R. Aylward
Exploratory Population Analysis with Unbalanced Optimal Transport. 464-472 - Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi
Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. 473-481 - Jeff Craley, Emily Johnson
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models. 482-489 - Ravnoor S. Gill, Seok-Jun Hong, Fatemeh Fadaie, Benoît Caldairou, Boris C. Bernhardt, Carmen Barba
Deep Convolutional Networks for Automated Detection of Epileptogenic Brain Malformations. 490-497 - Milan Decuyper, Stijn Bonte, Roel Van Holen:
Binary Glioma Grading: Radiomics versus Pre-trained CNN Features. 498-505 - Muhammad Febrian Rachmadi
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. 506-513 - Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. 514-522 - Benjamín Gutiérrez-Becker, Christian Wachinger
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. 523-531 - Konstantinos Georgiadis, Alexandra L. Young
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain. 532-539 - Erdem Varol, Aristeidis Sotiras
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. 540-548 - Anand A. Joshi
Using the Anisotropic Laplace Equation to Compute Cortical Thickness. 549-556 - Marc-Antoine Boucher, Sarah Lippé, Amélie Damphousse, Ramy El-Jalbout, Samuel Kadoury:
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US. 557-565 - Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? 566-574 - Ehsan Adeli
Multi-label Transduction for Identifying Disease Comorbidity Patterns. 575-583 - Jérôme Dockès, Demian Wassermann, Russell A. Poldrack
Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports. 584-592
Neuroimaging and Brain Segmentation Methods: Brain Segmentation Methods
- Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin:
Semi-supervised Learning for Segmentation Under Semantic Constraint. 595-602 - Yao Qin, Konstantinos Kamnitsas
Autofocus Layer for Semantic Segmentation. 603-611 - Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood:
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. 612-619 - Oualid M. Benkarim
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. 620-627 - Raunak Dey, Yi Hong:
CompNet: Complementary Segmentation Network for Brain MRI Extraction. 628-636 - Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. 637-645 - T. Hoang Ngan Le
Deep Recurrent Level Set for Segmenting Brain Tumors. 646-653 - Amod Jog, Bruce Fischl:
Pulse Sequence Resilient Fast Brain Segmentation. 654-662 - Hannah Spitzer
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. 663-671 - Zhengwang Wu
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. 672-680 - Hulin Kuang, Mohamed Najm, Bijoy K. Menon, Wu Qiu:
Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients. 681-688 - Jin-Kyu Gahm, Yuchun Tang, Yonggang Shi:
Patch-Based Mapping of Transentorhinal Cortex with a Distributed Atlas. 689-697 - Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. 698-705 - Sérgio Pereira
Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI. 706-714 - Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. 715-723
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-26 01:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: