PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

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