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Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction
Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning
Bayesian Graph Neural Networks For EEG-based Emotion Recognition
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Attention-guided pancreatic duct segmentation from abdominal CT volumes
Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning
Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback
TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Federated Learning in the Cloud for Analysis of Medical Images
Experience with Open Source Frameworks
On the Fairness of Swarm Learning in Skin Lesion Classification
Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next
The Role of Pleura and Adipose in Lung Ultrasound AI
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
Data imputation and reconstruction of distributed Parkinson's disease clinical assessments: A comparative evaluation of two aggregation algorithms
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.
Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning
Bayesian Graph Neural Networks For EEG-based Emotion Recognition
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Attention-guided pancreatic duct segmentation from abdominal CT volumes
Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning
Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback
TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Federated Learning in the Cloud for Analysis of Medical Images
Experience with Open Source Frameworks
On the Fairness of Swarm Learning in Skin Lesion Classification
Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next
The Role of Pleura and Adipose in Lung Ultrasound AI
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
Data imputation and reconstruction of distributed Parkinson's disease clinical assessments: A comparative evaluation of two aggregation algorithms
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.