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Deep learning radiomics nomograms predict IDH genotype in glioma patients: a multicenter study

Author:Darui Li  Jing Zhang  Kai Ai  Wanjun Hu  Guangyao Liu  Laiyang Ma  Tiejun Gan  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:AI in Brain Tumor Prediction  

Program Number:3781  

Room Session:Exhibition Hall (Hall 403)  

Institution:lanzhou university second hospital  Philips Healthcare  

Deep learning reconstructed 3D zero echo time MRI for lung imaging: a preliminary study

Deep learning reconstructed fast non-Gaussian DWI for predicting microsatellite instability in esophagogastric junction adenocarcinoma

Deep Learning Reconstructed Reduced Field-of-View Diffusion Weighted Imaging in Rectal Cancer: Comparison of Image Quality

Deep Learning Reconstruction (DLR) in Liver MRI: Comparison of Image Quality and diagnostic efficiency of LAVA sequence

Deep Learning Reconstruction algorithm for T2-weighted Turbo Spin Echo Renal MRI

Deep Learning Reconstruction for Turbo Spin Echo Imaging to Accelerate Ankle MRI: A Multi-Reader Study

Deep Learning Reconstruction with Different Undersampling Strategies for T1 Mapping with Magnetization-Prepared GRE

Deep Learning Reconstruction-based Accelerated Rectal MRI: Image Quality, Diagnostic Performance, and Reading Efficiency Assessment

Deep learning segmentation of I-125 brachytherapy seeds in prostate cancer patients based on synthetically generated multi-echo training data

Deep Learning with Spatio-Channel Regularization for Accelerated Cardiac Cine

Deep Learning-Assisted Joint Estimation for 3D Retrospective Motion Correction: An In-Vivo Validation

Deep learning-based acceleration of compressed SENSE brain ASL MRI using 3D Cartesian TSE with improved spatial resolution

Author:Yiming Wang  Yajing Zhang  Zhongping Zhang  Wengu Su  Zhongchang Ren  Yan Zhao  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI II  

Program Number:2819  

Room Session:Exhibition Hall (Hall 403)  

Institution:Philips Healthcare  

Deep Learning-Based Automated Kidney and Cortex Segmentation from Non-contrast T1-weighted Images

Deep Learning-based Automatic Segmentation and Fusion Radiomics-based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma

Author:Fei Zheng  Ping Yin  Yujian Wang  Wenhan Hao  Qi Hao  Nan Hong  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:MSK Diagnosis & Treatment  

Program Number:1685  

Room Session:Exhibition Hall (Hall 403)  

Institution:Peking University people’ hospital  

Deep learning-based comprehensive multi-sequence liver lesion segmentation for accurate tumor burden assessment

Author:Xiaolan Zhang  Botong Wu  Chao Zheng  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Segmentation  

Program Number:2102  

Room Session:Exhibition Hall (Hall 403)  

Institution:Shukun Technology Co.,Ltd  

Deep Learning-based Distortion Correction of Diffusion-weighted Imaging

Author:Kuan Zhang  Myung-Ho In  Norbert Campeau  Bradley Erickson  Yunhong Shu  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Image Reconstruction with Deep Learning II  

Program Number:2742  

Room Session:Exhibition Hall (Hall 403)  

Institution:Mayo Clinic  

Deep learning-based estimation of future brain atrophy using baseline MRI and PET

Author:Linh Le  Evan Fletcher  Jinyi Qi  Audrey Fan  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI Applications in Neurology  

Program Number:4709  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of California, Davis  

Deep Learning-Based High Frequency Constrained Fast Image Reconstruction for 4D Cardiac MRI

Deep Learning-based Human MRI Reconstruction and Preprocessing with Artificial Fourier Transform Network (AFT-Net)

Deep learning-based MRI denoising enhances the reliability of whole-brain volumetric analysis

Deep Learning-Based Multistep Deformable Medical Image Registration for Multimodal Minimal-Invasive Image-Guided Intervention

Deep Learning-based Placental MRI Segmentation and Placental Boundary Vessel Recognition

Deep learning-based quantification of myocardial oxygen extraction fraction and blood volume in health: reproducibility, sex, and homogeneity

Deep Learning-Based Quasi-Automatic Tool for Regional Quantitative 17-Segment Analysis of Myocardial Fibrosis

Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography

Deep learning-based Reconstruction with Super Resolution for Abdominal Diffusion Weighted Imaging

Deep learning-based scrubbing of fMRI data and its applications on delineating infant brain functional development trajectories

Deep Learning-Based Super Resolution Reconstruction for Quantitative Susceptibility Mapping

Deep Learning-based Super-Resolution Reconstruction for Brain Diffusion-weighted MRI

Deep Learning-Driven Enhancement of Fibre Orientation Distribution: Effect of Choice of Gradient Direction Number

Deep Learning-Driven Generation of Diffusion-Weighted Imaging for Acute Ischemic Stroke from Non-Contrast Computed Tomography

A deep neural network for Oxygen Extraction Fraction (OEF) mapping based on No Training

Author:Ada Ally  Junghun Cho  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Molecular & Metabolic Imaging  

Program Number:3181  

Room Session:Exhibition Hall (Hall 403)  

Institution:University at Buffalo  

Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers

Author:Marina Silic  Simon Graham  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Not Your Usual RF Coils  

Program Number:1589  

Room Session:Exhibition Hall (Hall 403)  

Institution:Sunnybrook Research Institute  University of Toronto  

Deep Structure-Preserved Graph Embedding for Improved MRF Reconstruction

Author:Peng Li  Yuping Ji  Yue Hu  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:MRF Reconstruction  

Program Number:3564  

Room Session:Exhibition Hall (Hall 403)  

Institution:Harbin Institute of Technology  

Deep-learning reconstruction of under-sampled readout-segmented echo-planar diffusion-weighted images at multiple b values

Deep-learning segmentation of peri-sinus structures reveals changes across the human lifespan with implications for neurofluid circulation

Deep-learning-based flow-artifact correction for multi-shot multiple overlapping-echo detachment imaging (msh-MOLED)

A deep-learning-based framework for spark artifacts detection and correction

Author:Li Tong  Puwei Wang  Lei Zhu  Shucheng Qin  Zhenkui Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Artifacts Correction & Mitigation  

Program Number:2643  

Room Session:Exhibition Hall (Hall 403)  

Institution:Shanghai United Imaging Healthcare Co., Ltd.  

Deep-learning-based optimization of k-space undersampling in self-supervised MRI reconstruction

Deep-learning-based phase correction during reconstruction of high-resolution, multi-shot reduced-FOV pancreatic DWI.

Author:Ryan Brunsing  Alexandra Besser  Arnaud Guidon  Xinzeng Wang  Patricia Lan  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Hepatopancreaticobiliary: Benign I  

Program Number:4017  

Room Session:Exhibition Hall (Hall 403)  

Institution:GE HealthCare  Stanford  

A deep-learning-based Signal-to-Noise Ratio (SNR) adaptive uniformity correction method

Author:Li Tong  Puwei Wang  Zhenkui Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Artifacts Correction & Mitigation  

Program Number:2651  

Room Session:Exhibition Hall (Hall 403)  

Institution:Shanghai United Imaging Healthcare Co., Ltd.  

DeepSepSTI: Improved Susceptibility Tensor Reconstruction by Anisotropic Susceptibility Source Separation