Front Matter ....Pages I-XII
Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease (Gudmundur Einarsson, Line K. H. Clemmensen, Ditte Rudå, Anders Fink-Jensen, Jannik B. Nielsen, Anne Katrine Pagsberg et al.)....Pages 1-8
Prediction of Severity and Treatment Outcome for ASD from fMRI (Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan)....Pages 9-17
Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network (Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park)....Pages 18-25
Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer’s Disease (Yu Yan, Hoileong Lee, Edward Somer, Vicente Grau)....Pages 26-33
Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study (Muhammad Ilyas, Alice Othmani, Amine Nait-Ali)....Pages 34-41
Predictive Patient Care: Survival Model to Prevent Medication Non-adherence (T. Janssoone, P. Rinder, P. Hornus, D. Kanoun)....Pages 42-50
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data (Kim-Han Thung, Pew-Thian Yap, Dinggang Shen)....Pages 51-59
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease (Adrià Casamitjana, Verónica Vilaplana, Paula Petrone, José Luis Molinuevo, Juan Domingo Gispert)....Pages 60-67
Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations (Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin)....Pages 68-75
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer’s Disease Diagnosis (Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen)....Pages 76-84
Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI (Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Taku Komura)....Pages 85-93
Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning (Minghui Zhu, Islem Rekik)....Pages 94-102
Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes (Anna Lisowska, Islem Rekik)....Pages 103-111
Predictive Modeling of Longitudinal Data for Alzheimer’s Disease Diagnosis Using RNNs (Maryamossadat Aghili, Solale Tabarestani, Malek Adjouadi, Ehsan Adeli)....Pages 112-119
Towards Continuous Health Diagnosis from Faces with Deep Learning (Victor Martin, Renaud Séguier, Aurélie Porcheron, Frédérique Morizot)....Pages 120-128
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference (Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik)....Pages 129-137
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer’s Disease Diagnosis (Chiyu Feng, Ahmed Elazab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao)....Pages 138-146
Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI (Sahin Olut, Yusuf H. Sahin, Ugur Demir, Gozde Unal)....Pages 147-154
Diffusion MRI Spatial Super-Resolution Using Generative Adversarial Networks (Enes Albay, Ugur Demir, Gozde Unal)....Pages 155-163
Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks (Jungrae Cho, Yoonnyun Kim, Minho Lee)....Pages 164-171
Back Matter ....Pages 173-174