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Applying Radiomics and Convolutional Neural Network Analysis to distinguish Lymph Node Invasion in Prostate Cancer using Multi-parametric MRI

Artificial Intelligence Analysis on Prostate DCE-MRI to Distinguish Prostate Cancer and Benign Prostatic Hyperplasia

Augmented ensemble learning is effective strategy for imbalanced small dataset: improve differentiation of low from high grade prostate cancer

Characterization of the Metabolomic Signature of Prostate Cancer by Mass Spectrometry and Magnetic Resonance Spectroscopy of Urine

Author:Leo Cheng  Andrew Gusev  Alex Buko  Takushi Oga  Adam Feldman  

Institution:Human Metabolome Technologies  MGH/Harvard  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2398  

Room Live Q&A Session:

Differential diagnosis of prostate cancer and benign prostatic hyperplasia using texture features based on multiple high b-values DWI

Author:Jingjun Wu  Ailian Liu  Jiazheng Wang  Zhiwei Shen  Lihua Chen  Qingwei Song  Renwang Pu  Bingbing Gao  

Institution:The First Affiliated Hospital of Dalian Medical University  Philips Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2397  

Room Live Q&A Session:

Evaluation of convolution strategies for 3D-CNN for MR Prostate segmentation

Author:Yanlu Wang  Patrick Masaba  Fredrik Strand  Fredrik Järderling  

Institution:Karolinska Institute  Karolinska University Hospital  Capio S:t Göran Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2399  

Room Live Q&A Session:

High Resolution Prostate T2-weighted MRI with Deep Learning and without an Endorectal Coil

Author:Xinzeng Wang  Jong Bum Son  Priya Bhosale  Aliya Qayyum  Juan Ibarra-Rovira  Ken-Ping Hwang  Jason Stafford  Mark Pagel  Marc Lebel  Ersin Bayram  Jingfei Ma  Janio Szklaruk  

Institution:GE Healthcare  MD Anderson Cancer Center  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2395  

Room Live Q&A Session:

Improving the repeatability of radiomic analysis of the prostate through deep normalization of T2w MRI inputs

Learning how to adapt T2 PROPELLER MR prostate imaging: going beyond PIRADS requirements with MR Deep Learning reconstruction

Author:Julie Poujol  Charline Henry  Vincent Barrau  François Legou  Eric Pessis  Xinzeng Wang  Daniel Litwiller  

Institution:Centre Cardiologique du Nord  GE Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2389  

Room Live Q&A Session:

Post processing decisions, independent of institution and fit, influence the perceived diagnostic utility of prostate cancer diffusion maps

Prostate MRI Image Quality Control using Deep Learning

Prostate Tumor Characterization using Texture Analysis of Diffusion MRI

Radiomics based on multiparametric magnetic resonance imaging to predict extraprostatic extension of prostate cancer

The repeatability of deep learning-based segmentation of the prostate on T2-weighted MR images