Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID21st 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, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Penalized Geodesic Tractography for Mitigating Gyral Bias. 12-19 - Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. 20-27 - Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau, Onur Afacan, Simon K. Warfield, Ali Gholipour:
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. 28-35 - Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract Orientation Mapping for Bundle-Specific Tractography. 36-44 - Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
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, Olivier Commowick, Onur Afacan, Simon K. Warfield, Christian Barillot:
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, Olivier Commowick, Alessandra Menafoglio, Simon K. Warfield:
A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI. 72-80 - Stefano Pedemonte, Bernardo Bizzo, Stuart R. Pomerantz, Neil A. Tenenholtz, Bradley Wright, Mark Walters, Sean Doyle, Adam McCarthy, Renata Rocha De Almeida, Katherine P. Andriole, Mark Michalski, R. Gilberto González:
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. 81-88 - Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu:
Identification of Species-Preserved Cortical Landmarks. 89-97 - Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze:
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. 98-106 - Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
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, Andre F. Marquand:
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. 127-135 - Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen:
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, Katherine L. Narr, Roger P. Woods, Shantanu H. Joshi:
Elastic Registration of Single Subject Task Based fMRI Signals. 154-162 - Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
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, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
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, Jian Li, Minqi Chong, Haleh Akrami, Richard M. Leahy:
rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform. 198-205 - Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. 206-214 - Michael Hütel, Andrew Melbourne, Sébastien Ourselin:
Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI. 215-222 - Hongming Li, Xiaofeng Zhu, Yong Fan:
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, Hassan Hajjdiab, Begonya Garcia-Zapirain, Adel Elmaghraby, Robert Keynton, Gregory Barnes, Ayman El-Baz:
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports. 240-248 - Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. 249-257 - Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. 258-266 - Michael Hütel, Andrew Melbourne, David L. Thomas, Sébastien Ourselin:
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, Jin Fan, Chao Chen:
A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. 302-310 - César Caballero-Gaudes, Stefano Moia, Peter A. Bandettini, Javier Gonzalez-Castillo:
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, Stefan Gumhold, Matthias Kirsch:
Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. 341-348 - Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost:
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, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung:
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, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sébastien Ourselin:
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. 383-391 - Jian Cheng, Tao Liu, Feng Shi, Ruiliang Bai, Jicong Zhang, Haogang Zhu, Dacheng Tao, Peter J. Basser:
On Quantifying Local Geometric Structures of Fiber Tracts. 392-400
Neuroimaging and Brain Segmentation Methods: Neuroimaging
- Zhuo Sun, Wei Xu, Shuhao Wang, Junhai Xu, Yuchuan Qiao:
Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization. 403-410 - Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen:
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, Dinggang Shen, Heng Huang:
Temporal Correlation Structure Learning for MCI Conversion Prediction. 446-454 - Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen:
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, Archana Venkataraman:
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, Armin Brandt, Vanessa C. Coelho, Ludovico D'Incerti, Matteo Lenge, Mira Semmelroch, Fabrice Bartolomei, Fernando Cendes, Francesco Deleo, Renzo Guerrini, Maxime Guye, Graeme D. Jackson, Andreas Schulze-Bonhage, Tommaso Mansi, Neda Bernasconi, Andrea Bernasconi:
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, Maria del C. Valdés Hernández, Taku Komura:
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. 506-513 - Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
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, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan M. Schott, Sébastien Ourselin, Jason D. Warren, Marc Modat:
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain. 532-539 - Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos:
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. 540-548 - Anand A. Joshi, Chitresh Bhushan, Ronald Salloum, Jessica L. Wisnowski, David W. Shattuck, Richard M. Leahy:
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, Dongjin Kwon, Kilian M. Pohl:
Multi-label Transduction for Identifying Disease Comorbidity Patterns. 575-583 - Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux:
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, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
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, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Dinggang Shen, Gang Li:
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, Dacheng Tao:
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. 637-645 - T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. 646-653 - Amod Jog, Bruce Fischl:
Pulse Sequence Resilient Fast Brain Segmentation. 654-662 - Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. 663-671 - Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
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, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. 698-705 - Sérgio Pereira, Victor Alves, Carlos A. Silva:
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
a service of 
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 2023-12-04 21:29 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:
