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Prognostic Value of ADC Histogram Analysis in Men with High Risk Prostate Cancer Receiving Adjuvant Hormonal Therapy after Radical Prostatectomy

High-resolution PROPELLER T2-weighted imaging of the prostate with deep learning reconstruction: a phantom and clinical preliminary study

To evaluate the value of APT combined with T1 mapping in the differential diagnosis of prostate cancer and benign prostatic hyperplasia

Sub-differentiation of PI-RADS 3 lesions in TZ by advanced diffusion-weighted imaging to aid the biopsy decision process

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

Study of deep-learning models for detection and localization of early-stage clinically significant prostate cancer on mpMRI

Positive Predictive Value of Multiparametric MRI in Detection of Prostate cancer: A Tertiary Center Retrospective Study

Author:Zachary Franks  Jarrett Rosenberg  Richard Fan  Geoffrey Sonn  Pejman Ghanouni  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Advances in Prostate Imaging  

Program Number:1865  

Room Session:Exhibition Halls D/E  

Institution :Stanford Health Care  

Estimated quantitative relaxation mapping calculated from Multiple-Repetition Multiple-Echo (MRME) based DWI acquisition in prostate

Studying variation in DWI MRI derived ADC for Prostate Cancer (PCa) with respect to Gleason Grade and location of PCa lesions

Author:Sudhanya Chatterjee  Dattesh Shanbhag  Aanchal Mongia  Uday Patil  Adele Courot  Nicolas Gogin  Rakesh Mullick  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Advances in Prostate Imaging  

Program Number:1867  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  

Accelerated diffusion-weighted imaging of the prostate employing Echo Planar Imaging with Compressed SENSE based reconstruction (EPICS)

Improving Image Quality While Reducing Geometric Distortion of Diffusion-weighted MRI in prostate: Comparison of FOCUS-MUSE, MUSE, and SS DWI

Author:Yanling Chen  Huanjun Wang  Yan Guo  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Advances in Prostate Imaging  

Program Number:1869  

Room Session:Exhibition Halls D/E  

Institution :The First Affiliated Hospital, Sun Yat-sen University  

Sub-differentiation of intermediate risk prostate cancer by advanced diffusion-weighted imaging

Initial exploration of the potential of diffusion-weighted MRS for the evaluation of prostate pathology

Reverse Encoding Distortion Correction for DWI: Improving Image Quality and Differention Capability of Malignant from Benign Prostatic Areas

A clinical validation study of synthetic high b-value reduced filed-of-view diffusion weighted imaging on prostate

Comparison of calculated DWI and single-shot EPI DWI for prostate cancer detection at 3T

Primary prostate cancer characterisation using internal references for 23Na MRI quantification

Magnetic Resonance Imaging-based Radiomics for Clinically Significant Prostate Cancer in PSA Gray Zone to Reduce Unnecessary Biopsies

The diagnostic value of synthetic MRI combined with rFOV IVIM in transition zone prostate cancer

Deep Learning Assisted Diagnosis of Prostate Cancer: Using a Multi-scale Neural Network Based on Points of Interest

Age and gender prediction from minimally processed 3D structural brain MRI through multi-task contrastive learning

Deep learning-based prognostic model using non-enhanced cardiac cine MRI in patients with heart failure.

Total Knee Replacement Prediction using Twin Class Distribution Estimation

Biparametric MRI classification model for prostate cancer detection using a combination of prediction maps

Prediction of active Multiple Sclerosis lesions through use of logistic regression classifier and first-order features

Prediction of ductal carcinoma in situ with microinvasion postoperatively in women with biopsy-confirmed ductal carcinoma in situ

Development and validation of a deep learning model trained on MRI for the prediction of hepatocellular carcinoma survival

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks

RiskForm: A novel risk formulation to improve progressive disease outcome prediction

Neural Shape Models Predict Knee Pain Better than Conventional Statistical Shape Models: Data from the Osteoarthritis Initiative

Author:Anthony Gatti  Dave Van Veen  Garry Gold  Scott Delp  Akshay Chaudhari  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:ML/AI for Disease Detection, Diagnosis & Prediction  

Program Number:1892  

Room Session:Exhibition Halls D/E  

Institution :Stanford University  

Multi-Modal Detection and Localization of Intracranial Aneurysms using 3D nnDetection Deep Learning Model

Estimating time-to-total knee replacement surgery using deep learning

GAMER-MRI and modified Layer-wise Relevance Propagation identify on quantitative MRI regions sensitive to clinical disability in MS patients

Pre-Clinical MRI radiomics and machine learning to predict survival after immunotherapy treatment

Towards an optimal breast lesions predictive model by assessing different MRI protocols combinations: Radiomics analysis

Free BreathingUTE Sequence for T2* Mapping of Lung in Healthy and Post-COVID Adults

Dysfunctional Respiratory Patterns in Symptomatic Post-Acute Covid-19 Patients on Dynamic High Temporal Resolution Free-Breathing Lung MRI

Persistent Abnormalities in Lung Water Density Observed After COVID-19 Recovery

Structural and Neuroradiological Findings in COVID-19 Patients with Post-COVID Neurological Symptoms with Ultrahigh Field 7T MRI

Application of Pulmonary Perfusion Analysis in Phenotyping COVID-19 Cardiopulmonary Disease with Magnetic Resonance Imaging

MRI for characterization of cardiac function in suspected myocarditis as post-acute sequelae of COVID-19

Blood-brain barrier breakdown in COVID-19 ICU survivors: a preliminary study

Cardiovascular Magnetic Resonance Imaging Appearance During the Acute, Intermediate and Convalescent Phase of COVID-19 Patient

Potential brain neural mechanisms underlying Long-COVID-19 syndrome