Abstract is missing.
- Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo ImagingSadhana Ravikumar, Laura E. M. Wisse, Sydney Lim, David J. Irwin, Ranjit Ittyerah, Long Xie, Sandhitsu R. Das, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Gabor Mizsei, John Q. Trojanowski, John L. Robinson, Theresa Schuck, Murray Grossman, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich. 3-12 [doi]
- Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep NetworksMariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson. 13-22 [doi]
- Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing FlowsMatthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert. 23-33 [doi]
- Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian PatientsVerónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizen, Michel Dojat. 34-43 [doi]
- MRI Image Registration Considerably Improves CNN-Based Disease ClassificationMalte Klingenberg, Didem Stark, Fabian Eitel, Kerstin Ritter. 44-52 [doi]
- Dynamic Sub-graph Learning for Patch-Based Cortical Folding ClassificationZhiwei Deng, Jiong Zhang, Yonggang Shi. 53-62 [doi]
- Detection of Abnormal Folding Patterns with Unsupervised Deep Generative ModelsLouise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin. 63-72 [doi]
- PialNN: A Fast Deep Learning Framework for Cortical Pial Surface ReconstructionQiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary. 73-81 [doi]
- Multi-modal Brain Segmentation Using Hyper-Fused Convolutional Neural NetworkWenting Duan, Lei Zhang 0043, Jordan Colman, Giosue Gulli, Xujiong Ye. 82-91 [doi]
- Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial GuidanceYuanfang Qiao, Haoyi Tao, Jiayu Huo, Wenjun Shen, Qian Wang 0001, Lichi Zhang. 92-100 [doi]
- Geometric Deep Learning of the Human Connectome Project Multimodal Cortical ParcellationLogan Z. J. Williams, Abdulah Fawaz, Matthew F. Glasser, A. David Edwards, Emma C. Robinson. 103-112 [doi]
- Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI DataKai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael. 113-124 [doi]
- Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI ModellingAhmed El Gazzar, Rajat Mani Thomas, Guido van Wingen. 125-134 [doi]
- Structure-Function Mapping via Graph Neural NetworksYang Ji, Samuel Deslauriers-Gauthier, Rachid Deriche. 135-144 [doi]
- Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional ConnectivitySimon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson. 145-154 [doi]
- H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics LearningNe Yang, Xiong Xiao, Xianyu Wang, Guocan Gu, Liwei Zhang, Hongen Liao. 155-164 [doi]
- Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI DataSreekrishna Ramakrishnapillai, Harris R. Lieberman, Jennifer C. Rood, Stefan M. Pasiakos, Kori Murray, Preetham Shankapal, Owen T. Carmichael. 165-173 [doi]