AAPM VL-AI in Imaging

2021 AAPM Virtual 63rd Annual Meeting - Session: AI in Imaging

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.

BEST IN PHYSICS (IMAGING): Validation of a Deep-Learning Model Observer in a Realistic Lung-Nodule Detection Task with Convolutional Neural Network-Based CT Denoising
Hao Gong Mayo Clinic
Gong.Hao@mayo.edu

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All videos in this session:

	An Effective Deep Learning Framework for Lung Tumor Segmentation in 4D-CT - Shadab Momin Emory University
	Automated Tumor Localization and Segmentation Through Hybrid Neural Network in Head & Neck Cancer - Ahmad Qasem
	Deep Siamese Network for False Positive Reduction in Brain Metastases Segmentation - Zi Yang UT Southwestern Medical Center
	Development of Artificial Intelligence (AI) Based Platform for Locally Advanced Rectal Cancer Prognosis - Yang Zhang Rutgers Cancer Institute of New Jersey
	Unsupervised COVID-19 Pneumonia Lesion Segmentation in CT Scans Using Cycle Consistent Generative Adversarial Network - Yingao Liu university of science and technology of china
	Towards Understandable AI in Lung Nodule Detection: Using the Genetic Algorithm for Interpretable, Human-Understandable Optimization of Nodule Candidate Generation in Lung CT Imaging - Muhammad Wahi-Anwar UCLA
	Q & A -

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AAPM Virtual Library

2021 AAPM Virtual 63rd Annual Meeting - Session: AI in Imaging

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.