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Displaying 1 - 10 of 10

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Combined IVIM and DTI fitting of muscle DWI data using a self learning physics informed neural network

Author:Martijn Froeling

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0808

Room Session:Concurrent 4

Institution:University Medical Center Utrecht

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Data augmentation using features from activation maps improved performance for deep learning based automated knee prescription

Author:Deepa Anand Dattesh Shanbhag Preetham Shankpal Chitresh Bhushan Desmond Yeo Thomas Foo Radhika Madhavan

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0811

Room Session:Concurrent 4

Institution:GE Global Research GE Healthcare

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Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

Author:Siyue LI Shutian ZHAO Yongcheng YAO Weitian CHEN

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0803

Room Session:Concurrent 4

Institution:AI in Radiology Laboratory, Department of Imaging and Interventioanl Radiology, The Chinese University of Hong Kong

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DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

Author:Alejandro Morales Martinez Jinhee Lee Francesco Caliva Claudia Iriondo Sarthak Kamat Sharmila Majumdar Valentina Pedoia

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0806

Room Session:Concurrent 4

Institution:UCSF

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The Effect of Activation Functions and Loss Functions on Deep Learning Based Fully Automated Knee Joint Segmentation

Author:Sibaji Gaj Dennis Chan Xiaojuan Li

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0807

Room Session:Concurrent 4

Institution:Cleveland Clinic

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Evaluation of Deep-Learning Reconstructed High-Resolution 3D Lumbar Spine MRI to Improve Image Quality

Author:Simon Sun Ek Tan John Carrino Douglas Mintz Meghan Sahr Yoshimi Endo Edward Yoon Bin Lin Robert Lebel Suryanarayan Kaushik Yan Wen Maggie Fung Darryl Sneag

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0805

Room Session:Concurrent 4

Institution:GE Healthcare Hospital for Special Surgery

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Feasibility of deep learning–based automated rotator cuff tear measurements on shoulder MRI

Author:Dana Lin Michael Schwier Bernhard Geiger Esther Raithel Michael Recht

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0804

Room Session:Concurrent 4

Institution:NYU Grossman School of Medicine Siemens Healthcare GmbH Siemens Medical Solutions USA

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Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T₂ Relaxation Times

Author:Andrew Schmidt Arjun Desai Lauren Watkins Hollis Crowder Elka Rubin Valentina Mazzoli Quin Lu Marianne Black Feliks Kogan Garry Gold Brian Hargreaves Akshay Chaudhari

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0809

Room Session:Concurrent 4

Institution:Philips Healthcare North America Stanford University

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Generative Adversarial Network for T2-Weighted Fat Saturation MR Image Synthesis Using Bloch Equation-based Autoencoder Regularization

Author:Sewon Kim Hanbyol Jang Seokjun Hong Yeong Sang Hong Won C. Bae Sungjun Kim* Dosik Hwang*

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0810

Room Session:Concurrent 4

Institution:Gangnam Severance Hospital University of California-San Diego Yonsei University Yonsei University College of Medicine VA San Diego Healthcare System

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Ultrafast motion-minimized shoulder MRI with a deep learning constrained Compressed SENSE reconstruction

Author:Jihun Kwon Masami Yoneyama Takashige Yoshida KOHEI YUDA Yuki Furukawa Johannes Peeters Marc Cauteren

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0812

Room Session:Concurrent 4

Institution:Philips Healthcare Philips Japan Tokyo Metropolitan Police Hospital

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Displaying 1 - 10 of 10

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Combined IVIM and DTI fitting of muscle DWI data using a self learning physics informed neural network

Data augmentation using features from activation maps improved performance for deep learning based automated knee prescription

Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

The Effect of Activation Functions and Loss Functions on Deep Learning Based Fully Automated Knee Joint Segmentation

Evaluation of Deep-Learning Reconstructed High-Resolution 3D Lumbar Spine MRI to Improve Image Quality

Feasibility of deep learning–based automated rotator cuff tear measurements on shoulder MRI

Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T₂ Relaxation Times

Generative Adversarial Network for T2-Weighted Fat Saturation MR Image Synthesis Using Bloch Equation-based Autoencoder Regularization

Ultrafast motion-minimized shoulder MRI with a deep learning constrained Compressed SENSE reconstruction

Current Filters

TITLE

Session Name:

Filter

Combined IVIM and DTI fitting of muscle DWI data using a self learning physics informed neural network

Data augmentation using features from activation maps improved performance for deep learning based automated knee prescription

Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

The Effect of Activation Functions and Loss Functions on Deep Learning Based Fully Automated Knee Joint Segmentation

Evaluation of Deep-Learning Reconstructed High-Resolution 3D Lumbar Spine MRI to Improve Image Quality

Feasibility of deep learning–based automated rotator cuff tear measurements on shoulder MRI

Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T2 Relaxation Times

Generative Adversarial Network for T2-Weighted Fat Saturation MR Image Synthesis Using Bloch Equation-based Autoencoder Regularization

Ultrafast motion-minimized shoulder MRI with a deep learning constrained Compressed SENSE reconstruction

Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T₂ Relaxation Times