Physics, Instrumentation & Data Sciences -> Data Sciences 521

521 - Quantitative Assessment of Deep Learning-enhanced Actual Ultra-low-dose Amyloid PET/MR Imaging (ID 1297)

Session Name
Artificial Intelligence for Image Enhancement/Analysis and Disease Assessment
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Presentation Number
521

Previous Eposter
520 - Single Subject Deep Learning-based Partial Volume Correction for PET using Simulated Data and Cycle Consistent Networks (ID 1298)

Next Eposters
522 - A fully unsupervised approach to create patient-like phantoms via Convolutional neural networks (ID 1302)
523 - A no-gold-standard technique for objective evaluation of quantitative nuclear-medicine imaging methods in the presence of correlated noise (ID 1299)
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526 - Machine learning based dual tracer FDG+68Ga-DOTATATE PET imaging for the diagnosis of neuroendocrine tumor (ID 1304)
527 - A deep learning-based approach for lesion classification in 3D 18F-DCFPyL PSMA PET images of patients with prostate cancer (ID 1300)
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529 - Automated small-scale radiopharmaceutical distribution analysis for patient bone biopsy based on histopathological and 223Ra autoradiographic images (ID 263)
530 - Minimizing the clinical requirements for kidney dosimetry in 177Lu-DOTATATE with reduced timepoint imaging and neural network segmentation (ID 267)
531 - Radium-223 Treated Primary Patient Bone Biopsy Analysis: Macro to Microscale Analyses and Dosimetry (ID 261)