Predictive intelligence in medicine : second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /: second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. (2019)
- Record Type:
- Book
- Title:
- Predictive intelligence in medicine : second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /: second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. (2019)
- Main Title:
- Predictive intelligence in medicine : second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
- Other Titles:
- PRIME 2019
- Further Information:
- Note: Islem Rekik, Ehsan Adeli, Sang Hyun Park (eds.).
- Editors:
- Rekik, Islem
Adeli, Ehsan
Park, Sang Hyun - Other Names:
- PRIME (Workshop), 2nd
International Conference on Medical Image Computing and Computer-Assisted Intervention, 22nd - Contents:
- TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data.- Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study.- Adaptive Neuro-Fuzzy Inference System-based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-state fMRI.- Deep Learning via Fused Bidirectional Attention Stacked Long Short-term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening.- Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning.- Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI.- Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample Selection.- Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer using a Non-Proportional Hazards Model.- 7 years of Developing Seed Techniques for Alzheimer's Disease Diagnosis using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis.- Generative Adversarial Irregularity Detection in Mammography Images.- Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification From a Source Graph.- Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-Resolution Neighborhoods.- Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks.- Prediction ofTADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data.- Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study.- Adaptive Neuro-Fuzzy Inference System-based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-state fMRI.- Deep Learning via Fused Bidirectional Attention Stacked Long Short-term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening.- Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning.- Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI.- Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample Selection.- Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer using a Non-Proportional Hazards Model.- 7 years of Developing Seed Techniques for Alzheimer's Disease Diagnosis using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis.- Generative Adversarial Irregularity Detection in Mammography Images.- Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification From a Source Graph.- Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-Resolution Neighborhoods.- Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks.- Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment.- Diagnosis of Parkinsons Disease in Genetic Cohort Patients via Stage-wise Hierarchical Deep Polynomial Ensemble learning.- Automatic Detection of Bowel Disease with Residual Networks.- Support Vector based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimers Disease.- Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xiii, 178 pages), illustrations (some color)
- Subjects:
- 610.285/63
Artificial intelligence -- Medical applications -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9783030322816
3030322815 - Related ISBNs:
- 9783030322809
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 15, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.464624
- Ingest File:
- 02_607.xml