AI in MR

From Concept to Deployment: A Deep Learning Model for Lumbar Spinal Stenosis at National University Hospital in Singapore

James Hallinan, MBChB, FRCR; et al. (National University Hospital, Singapore)

Sedation-Free Pediatric Neuroimaging with Deep Resolve 3D MR Sequences

Bac Nguyen, BSc (Oslo University Hospital, Rikshospitalet, Oslo, Norway)

Can We See the Bottom? A Look into Deep Learning-Based Image Reconstruction

Dominik Nickel, Ph.D. (Principal Key Expert for Sequence and Reconstruction Techniques, Siemens Healthineers, Erlangen, Germany)

Deep Resolve: Unrivaled Speed in MRI

Nicolas Behl, Ph.D. (Siemens Healthineers, Erlangen, Germany)

Deep Learning-Based Reconstruction in Clinical MRI: How We Do it in Tübingen

Saif Afat, M.D.; et al. (Dept. of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Germany)

Clinical User Perspective of Deep Learning Image Reconstruction Techniques (Deep Resolve) for Improved MRI Capabilities

Trina V. Gulay; Brent Carson, M.D.; et al. (Nanaimo Regional General Hospital, Island Health, Nanaimo, BC, Canada)

Clinical Implementation of Deep Learning-Accelerated HASTE and TSE

Judith Herrmann; M.D. (Eberhard Karls University Tuebingen, Germany); Ahmed Othman, M.D. (University Medical Center, Mainz, Germany); et al.

Deep Learning MRI Sequences: The Present and the Future

Saif Afat, M.D.; et al. (Dept. of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Germany)

Strategies to Reduce Sedation in Pediatric MRI Exams

Camilo Jaimes, M.D. (Massachusetts General Hospital, Boston, MA, USA)
ESPR 2024, Sevilla, Spain

Faster Pediatric MRI Enhances Patient Safety, Access, and Experience

Suely F. Ferraciolli, M.D., Ph.D.; Camilo Jaimes, M.D.; et al. (Massachusetts General Hospital, Pediatric Imaging Research Center, Boston, MA, USA)

Deep Resolve in Pediatric MRI

Johan Dehem, M.D. (Jan Yperman Ziekenhuis, Ieper, Belgium)

Ultrafast Brain Imaging with Deep-Learning Multi-Shot EPI: Technical Implementation

Bryan Clifford, Ph.D.; et al. (Siemens Medical Solutions USA, Boston, MA, USA)

Ultrafast Brain Imaging with Deep Learning Multi-Shot EPI: Preliminary Clinical Evaluation

John Conklin, M.D., M.S.; et al. (Department of Radiology, Massachusetts General Hospital, Boston, MA, USA)

AI and Deep Learning – Where is CMR Heading?

Vivek Muthurangu, MD. (University College London, Great Ormond Street Hospital, London, UK)

AI-based Fully Automated Global Circumferential Strain in a Large Cohort of Patients Undergoing Stress CMR

Théo Pezel, MD; Jérôme Garot, MD, PhD; et al. (ICPS, Hôpital Privé Jacques Cartier, Massy, France)

Artificial Intelligence: Learning About the Future of Cardiovascular MR

Kerstin Hammernik, Ph.D. (Technical University of Munich, Germany)
and Thomas Küstner, Ph.D. (University Hospital Tübingen, Germany)

Whole-Body MRI at 1.5T in the Era of Deep Resolve

Will McGuire; Marie Fennessy; Anwar R. Padhani, MB, BS, FRCP, FRCR (Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, Middlesex, UK)

Initial Experiences Using Deep Resolve Boost to Accelerate Whole-Body Diffusion MRI

Andrea Ponsiglione, PhD (University of Naples Federico II, Naples, Italy); Anwar R. Padhani, MB, BS, FRCP, FRCR; et al.
(Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, UK)

Deep Resolve Boost and Sharp for Diffusion: ADC Phantom Evaluation

Hyun-Soo Lee, Ph.D.; Thomas Benkert, Ph.D.; et al. (Siemens Healthineers)

Deep Resolve Mobilizing the Power of Networks

Nicolas Behl, Ph.D. (Siemens Healthineers, Erlangen, Germany)

The Connected Imaging Instrument

Michael Hansen, Ph.D. (Microsoft Corporation, USA)
ISMRM Lunch Symposium 2021

Artificial Intelligence’s Role in Radiology: Now and in the Future

Michael P. Recht, M.D. (New York University, New York, USA) 

Radiomics and AI in Cancer - Approaches and Analysis 

Masoom Haider, M.D. (Sinai Health System & University Health Network, Toronto, Canada)

The Future of Digital Technology in Medicine

Mark A. Griswold, M.D. (Case Western Reserve University, Cleveland, OH, USA)

MR Imaging in the Era of Deep Learning

Florian Knoll, Ph.D. (NYU School of Medicine, Center for Advanced Imaging Innovation and Research (CAI2R), New York, NY, USA)

Deep Learning for Parallel MRI Reconstruction: Overview, Challenges, and Opportunities

Kerstin Hammernik, Ph.D.; et al. (Imperial College London, UK)

Deep Learning for Cardiovascular MR Image Reconstruction

Jennifer A. Steeden, Ph.D. (University College London, UK, Lunch Symposium ESMRMB 2019, Rotterdam, NL)

Exploring New Frontiers in MRI

Sascha Daeuber, Ph.D. (Siemens Healthineers, Erlangen, Germany) Siemens Healthineers Lunch Symposium ESMRMB 2019, Rotterdam, NL

“It’s the data, stupid!” – Unlock the Potential of AI/ML in Radiology through Big Data Approaches
Elmar Merkle, M.D. (University Hospital Basel, Switzerland)