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Home > Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings > Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings |
Islem Rekik; Ehsan Adeli; Sang Hyun Park
Springer International Publishing
Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
Authors

Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig et al.

ARI Id

1665217740498_5412823

Access

Not Available Free

Pages

44-52

DOI

10.1007/978-3-030-32281-6_5

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-32281-6_5

Table of Contents of Book
Showing 1 to 20 of 21 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xiii
TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting of Future Data
Răzvan V. Marinescu; Neil P. Oxtoby; Alexandra L. Young; Esther E. Bron; Arthur W. Toga; Michael W. Weiner et al.
1-10
Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study
Alina Giger; Christoph Jud; Damien Nguyen; Miriam Krieger; Ye Zhang; Antony J. Lomax et al.
11-22
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI
Ahmed M. Anter; Zhiguo Zhang
23-33
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening
Chiyu Feng; Lili Jin; Chuangyong Xu; Peng Yang; Tianfu Wang; Baiying Lei et al.
34-43
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig et al.
44-52
Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI
Kevin P. Nguyen; Cherise Chin Fatt; Alex Treacher; Cooper Mellema; Madhukar H. Trivedi; Albert Montillo
53-62
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection
Olfa Ghribi; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik
63-72
Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model
Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Stefan Maurus; Julian Walter Holch et al.
73-80
7 Years of Developing Seed Techniques for Alzheimer’s Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis
Mayssa Soussia; Islem Rekik
81-93
Generative Adversarial Irregularity Detection in Mammography Images
Milad Ahmadi; Mohammad Sabokrou; Mahmood Fathy; Reza Berangi; Ehsan Adeli
94-104
Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph
Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik
105-114
Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods
Kübra Cengiz; Islem Rekik
115-124
Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks
Ihsan Ullah; Philip Chikontwe; Sang Hyun Park
125-133
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment
Aojie Li; Ling Yue; Manhua Liu; Shifu Xiao
134-141
Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning
Haijun Lei; Hancong Li; Ahmed Elazab; Xuegang Song; Zhongwei Huang; Baiying Lei
142-150
Automatic Detection of Bowel Disease with Residual Networks
Robert Holland; Uday Patel; Phillip Lung; Elisa Chotzoglou; Bernhard Kainz
151-159
Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer’s Disease
Qifan Yang; Sophia I. Thomopoulos; Linda Ding; Wesley Surento; Paul M. Thompson; Neda Jahanshad et al.
160-167
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks
Hansang Lee; Helen Hong; Jinsil Seong; Jin Sung Kim; Junmo Kim
168-176
Correction to: Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig et al.
C1-C1
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 21 entries
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