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Denoising 4D-Flow using Self-Supervised Deep Learning and its effect on test-rest reproducibility

Identification of high-risk basilar artery plaque with HR-VWI-based radiomics and machine learning

High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study

Deep learning-based segmentations challenge established link between stroke volume and functional outcome after thrombectomy

Prediction of Ischemic Stroke Based on Carotid Plaque VW-HRMRI Radiomics

Self-supervised Learning with Self-supervised Regularization Reconstruction for Accelerated Single- and Multiband Myocardial Perfusion MRI

A unified deep learning model for simultaneous cardiac cine MRI reconstruction, motion estimation and segmentation.

Time Course Changes of Synthetic Relaxation Time during Neoadjuvant Chemotherapy in Breast Cancer.

Various parameters derived from mono-exponential DWI, IVIM, SEM, DKI and CTRW in breast cancer diagnosis and the prediction of prognostic factors

Do Breast Edema and Shrinkage pattern Provide Additional Evaluation Value for Treatment Response and Recurrence in Luminal Breast Cancer

Prediction of the recurrence and invasion of hepatocellular carcinoma after TACE using intravoxel incoherent motion

The GRAPH-CRAFITY Score: a novel prognostic tool for patients with hepatocellular carcinoma treated with targeted therapy and immunotherapy

Preoperative prediction of Ki-67 expression of hepatocellular carcinoma using T1 mapping on gadoxetic acid-enhanced MRI

Quantitative DCE-MRI after P4-based error correction provides a more accurate therapy response assessment of pancreatic ductal adenocarcinoma

Value of diffusion kurtosis MR imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer

Stereotactic MR-guided Adaptive Radiotherapy for Pancreatic Cancers on a 1.5 Tesla MR-linac system

Comparing the effectiveness of 1D versus 2D navigated respiratory-correlated 4D-MRI acquisitions for radiotherapy guidance

Four Quadrant Vector Mapping of Hybrid Multidimensional MRI data for the diagnosis of prostate cancer

Detection rate of prostate cancer using mpMRI-Inbore targeted prostate biopsy, mpMRI-TRUS guided biopsy and TRUS guided biopsy

Reduction of cryoneedle artifacts due to cryoneedle-RF coil interaction during MRI-guided cryoablation

Combined IVIM and DKI MRI in pre-operative assessment of bladder cancer with different stages and grades

Diagnostic performance of DCE-MRI Parameters in Distinguishing Tumor Deposits from Metastatic Lymph Nodes in Rectal Cancer

Diffusion-relaxation correlation spectroscopic imaging for evaluating response to neoadjuvant therapy in locally advanced rectal cancer

Evaluating intra-voxel incoherent motion in the uterine cervix: healthy volunteer repeatability and therapy-induced changes in tumours

Attention mechanisms for sharing low-rank, image and k-space information during MR image reconstruction

IMJENSE: scan-specific IMplicit representation for Joint coil sENSitivity and image Estimation in parallel MRI

Monotone Operator Learning: a robust and memory-efficient physics-guided deep learning framework

Author:Aniket Pramanik  Mathews Jacob  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:Poster: Deep Learning Image Reconstruction  

Program Number:0821  

Room Session:Power Pitch Theatre 1  

Institution :University of Iowa  

Architecture-agnostic Deep Image Prior for Accelerated MRI reconstruction

MERLIN: In-depth investigation on complex-valued image reconstruction in PyTorch and Tensorflow

Real-time deep learning non-Cartesian image reconstruction using a causal variational network

Author:Prakash Kumar  Krishna Nayak  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:Poster: Deep Learning Image Reconstruction  

Program Number:0824  

Room Session:Power Pitch Theatre 1  

Institution :University of Southern California  

Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction

PSP-Net: Learning the optimal sampling pattern for MR reconstruction via progressive modeling

Accelerated MRI Reconstruction using Adaptive Diffusion Probabilistic Networks

Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior

SubZero: Subspace Zero-Shot MRI Reconstruction

Using Noisier2Noise to choose the sampling mask partition of Self-Supervised Learning via Data Undersampling (SSDU)

Author:Charles Millard  Mark Chiew  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:Poster: Deep Learning Image Reconstruction  

Program Number:0830  

Room Session:Power Pitch Theatre 1  

Institution :University of Oxford  

Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging

A noise-robust accelerated MRI reconstruction using CycleGAN