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Brain age prediction using fusion deep learning combining pre-engineered and convolution-derived features

Author:HeeJoo Lim  Eunji Ha  Suji Lee  Sujung Yoon  In Kyoon Lyoo  Taehoon Shin  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1511  

Room Session:Exhibition Hall:S8 & S9  

Institution:Ewha Womans University  

Comparison of whole-prostate radiomics models of disease severity derived from expert and AI based prostate segmentations

Author:Paul Summers  Lars Isaksson  Matteo Pepa  Mattia Zaffaroni  Maria Vincini  Giulia Corrao  Giovanni Mazzola  Marco Rotondi  Sara Raimondi  Sara Gandini  Stefania Volpe  Zaharudin Haron  Sarah Alessi  Paola Pricolo  Francesco Mistretta   Luzza  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1519  

Room Session:Exhibition Hall:S8 & S9  

Institution:IEO, European Institute of Oncology IRCCS  National Cancer Institute  University of Milan  

A Deep Neural Network for Detection of Glioblastomas in Spectroscopic MRI

Author:Erin Beate Bjørkeli  Jonn Terje Geitung  Morteza Esmaeili  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1520  

Room Session:Exhibition Hall:S8 & S9  

Institution:Akershus University Hospital  University of Oslo  University of Stavanger  

Differentiation of IDH and TERTp mutations in Glioma Using Dynamic Susceptibility Contrast MRI with Machine Learning at 3T

Author:Buse Buz-Yalug  Ayca Ersen Danyeli  Cengiz Yakicier  Necmettin Pamir  Alp Dincer  Koray Ozduman  Esin Ozturk-Isik  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1516  

Room Session:Exhibition Hall:S8 & S9  

Institution:Bogazici University  Center for Neuroradiological Applications and Reseach, Acibadem Mehmet Ali Aydinlar University  Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University  Department of Molecular Biology and Genetics  Department of Neur  

Machine learning based classification of major depressive disorder using clinical symptom scales and ultrahigh field MRI features

Author:Gaurav Verma  Xin Xing  Yael Jacob  Bradley Delman  James Murrough  Ai-Ling Lin  Priti Balchandani  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1517  

Room Session:Exhibition Hall:S8 & S9  

Institution:Icahn School of Medicine at Mount Sinai  University of Kentucky  University of Missouri  

Microbleed detection in autopsied brains from community-based older adults using microbleed synthesis and deep learning

Author:Grant Nikseresht  Ashish Tamhane  Carles Javierre-Petit  Arnold Evia  David Bennett  Julie Schneider  Gady Agam  Konstantinos Arfanakis  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1512  

Room Session:Exhibition Hall:S8 & S9  

Institution:Illinois Institute of Technology  Rush University Medical Center  

Multi-parametric versus bi-parametric prostate MRI for deep learning: Marginal benefits from adding dynamic contrast-enhanced images

Author:Nils Netzer  Adrian Schrader  Magdalena Görtz  Constantin Schwab  Markus Hohenfellner  Heinz-Peter Schlemmer  David Bonekamp  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1515  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center  University of Heidelberg Medical Center  Heidelberg University Medical School  

Predicted tumor stroma segmentation from high-field MR texture maps and machine learning: an ex vivo study on ovarian tumors

Author:Marion Tardieu  Lakhdar Khellaf  Maida Cardoso  Olivia Sgarbura  Pierre-Emmanuel Colombo  Christophe Goze-Bac  Stephanie Nougaret  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1521  

Room Session:Exhibition Hall:S8 & S9  

Institution:BNIF facility, L2C, UMR 5221, CNRS, University of Montpellier  Montpellier Cancer Institute (ICM)  Montpellier Cancer Research Institute (IRCM), INSERM U1194, University of Montpellier  

Prostate Cancer Risk Assessment using Fully Automatic Deep Learning in MRI: Integration with Clinical Data using Logistic Regression Models

Author:Adrian Schrader  Nils Netzer  Magdalena Görtz  Constantin Schwab  Markus Hohenfellner  Heinz-Peter Schlemmer  David Bonekamp  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1514  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center  University of Heidelberg Medical Center  Heidelberg University Medical School  

Synthetic T2-weighted fat sat delivers valuable information on spine pathologies: multicenter validation of a Generative Adversarial Network

Author:Sarah Schlaeger  Katharina Drummer  Malek El Husseini  Florian Kofler  Nico Sollmann  Severin Schramm  Claus Zimmer  Dimitrios Karampinos  Benedikt Wiestler  Jan Kirschke  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1513  

Room Session:Exhibition Hall:S8 & S9  

Institution:Klinikum rechts der Isar, Technical University of Munich  Technical University of Munich  University Hospital Ulm  

Towards Clinical Translation of Machine Learning-based Automated Prescription of Spine MRI Acquisitions

Author:Eugene Ozhinsky  Felix Liu  Valentina Pedoia  Sharmila Majumdar  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1518  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of California San Francisco  

Virtual Dynamic Contrast Enhanced MRI of the Breast using a U-Net

Author:Hannes Schreiter  Vishal Sukumar  Lorenz Kapsner  Lukas Folle  Sabine Ohlmeyer  Frederik Laun  Evelyn Wenkel  Michael Uder  Andreas Maier  Sebastian Bickelhaupt  Andrzej Liebert  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1522  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU)  Patter Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU)